FATIGUE BEHAVIOR IN HYGROTHERMALLY DEGRADED TOUGHENED … · Fatigue Behavior in Hygrothermally...
Transcript of FATIGUE BEHAVIOR IN HYGROTHERMALLY DEGRADED TOUGHENED … · Fatigue Behavior in Hygrothermally...
FATIGUE BEHAVIOR IN HYGROTHERMALLY DEGRADED TOUGHENED EPOXY ADHESIVES
by
Naresh Varma Datla
A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy
Department of Mechanical and Industrial Engineering University of Toronto
© Copyright by Naresh Varma Datla, 2011
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Fatigue Behavior in Hygrothermally Degraded Toughened Epoxy
Adhesives
Naresh Varma Datla
Doctor of Philosophy
Department of Mechanical and Industrial Engineering
University of Toronto
2011
Abstract
A method to measure the mixed-mode fatigue behavior of environmentally degraded
adhesive joints was developed. Firstly, the absorption and desorption of water in two different
rubber-toughened epoxy adhesives was measured gravimetrically. The water absorption in both
adhesives showed anomalous behavior that was fitted to a new “sequential dual Fickian” (SDF)
model. The water desorption in both adhesives was modelled accurately using Fick’s law, and
there was a significant difference in the amount of retained water after drying in the two
adhesives.
The effects of long-term aging were studied using open-faced specimens made with two
different rubber-toughened epoxy adhesives. The contrasting results illustrated the effects of
environmental degradation on the matrix and toughener. Furthermore, the differences in the
degradation behavior of both adhesives, combined with gravimetric and dynamic mechanical
thermal analysis (DMTA) results, were used to illustrate the role of retained water in degrading
the toughening mechanisms. The measured fatigue results invalidated the environmental index
(EI) hypothesis for fatigue behavior, at least for the relatively short aging times studied here.
Compared with aging under constant humidity, the fatigue performance of joints was found to be
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superior after aging in a cyclic salt-spray environment due to the lower water concentrations in
the adhesive.
The effects of test environment humidity and temperature on the fatigue behavior were
also studied using closed, un-aged specimens. Both individual and combined effects of
temperature and humidity on fatigue behavior were studied. In elevated temperature and
humidity environment, joint performance at higher crack growth rates was degraded solely due
to the effect of the increased temperature, whereas fatigue performance at low crack growth rates
degraded predominantly because of elevated moisture.
Finally, to generalise the techniques developed to automotive aluminum sheets, a
reinforced specimen was developed that avoids yielding of thin aluminum sheet adherends while
loading. Fatigue testing with these reinforced specimens revealed that the fatigue behavior was
sensitive to the loading phase angle and the orientation of rolling lines on the sheet. These
reinforced specimens were also used to study the effects of long-term aging and the effects of
test environment.
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Acknowledgments
First of all, I would like to express my sincere gratitude to my doctoral supervisors, Prof.
Jan K. Spelt and Prof. Marcello Papini, for providing the opportunity to pursue my doctoral
dissertation and for their continuous guidance and encouragement during this research. I am
fortunate to have had spend the past few years learning from them about science and life.
I would like to thank Dr. Allan Hull at Engineering Materials Research for patiently
helping me setting up and performing fatigue experiments. The fruitful discussion with him and
his valuable suggestions have helped my work.
I would also like to extend my gratitude to my committee members Prof. Chul B. Park,
Prof. F. Ben Amara, Prof. Craig A. Steeves for their valuable comments and suggestions.
I am grateful for the financial support from General Motors of Canada, Centres of
Excellence and Natural Sciences and Engineering Research Council. My special thanks to
researchers at General Motors Dr. Jessica Schroeder, Dr. Douglas Faulkner, Dr. Blair Carlson
and Dr. John Ulicny for providing technical information and valuable suggestions during the
progress meetings and regular communications.
I would like to thank my lab mates for always being helpful and creating an enjoyable
work place. My special thanks are to Amir Ameli and Shahrokh Azari for their collaboration in
setting up the experiments.
I am indebted to my parents, Rama Raju and Vijaya Lakshmi, and my brother, Suresh, for
their constant source of motivation and encouragement in fulfilling my aspirations. I dedicate
my thesis to my parents.
Most of all, I would like to thank my wife, Kanthi. Her endless support, love, and
happiness gave me the strength to successfully pursue my research. I owe my future success to
you.
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Table of Contents
Acknowledgments .......................................................................................................................... iv
Table of Contents ............................................................................................................................ v
List of Tables ................................................................................................................................. ix
List of Figures ............................................................................................................................... xii
List of Appendices ...................................................................................................................... xxii
Chapter 1 Introduction .................................................................................................................... 1
1.1 Background and motivation ................................................................................................ 1
1.2 Objectives ........................................................................................................................... 2
1.3 Overview of thesis .............................................................................................................. 2
Chapter 2 Modified DCB and CLS Specimens for Mixed-mode Fatigue Testing of
Adhesively Bonded Thin Sheets ................................................................................................ 6
2.1 Introduction .......................................................................................................................... 6
2.2 Experiments .......................................................................................................................... 7
2.2.1 Reinforced sheet specimen ........................................................................................ 7
2.2.2 Fatigue tests ............................................................................................................. 10
2.3 Results and discussion........................................................................................................ 12
2.3.1 Effect of reinforcing adhesive .................................................................................. 12
2.3.2 Effect of phase angle and sheet rolling-line orientation .......................................... 17
2.3.3 Effect of test environment ........................................................................................ 23
2.4 Conclusions ........................................................................................................................ 25
Appendix 2A Adhesive stresses for unequal adherends [7] .................................................... 26
Appendix 2B Comparison of G calculated using FE and analytical model ............................ 30
2.5 References .......................................................................................................................... 32
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Chapter 3 Hygrothermal properties of highly toughened epoxy adhesives .................................. 34
3.1 Introduction ........................................................................................................................ 34
3.2 Mathematics of diffusion models ....................................................................................... 35
3.2.1. Dual Fickian model ................................................................................................. 36
3.2.2 Langmuir model ....................................................................................................... 39
3.2.3 Fickian model in desorption ..................................................................................... 40
3.3 Experimental procedure ..................................................................................................... 41
3.4 Results and discussion ................................................................................................ 42
3.4.1 Moisture absorption ................................................................................................. 42
3.4.2 Moisture desorption ................................................................................................. 60
3.4.3 XPS analysis ............................................................................................................ 65
3.5 Conclusions ........................................................................................................................ 66
3.6 References .......................................................................................................................... 68
Chapter 4 The Effects of Test Temperature and Humidity on the Mixed-mode Fatigue
Behavior of a Toughened Adhesive Aluminum Joint .............................................................. 70
4.1 Introduction ........................................................................................................................ 70
4.2 Experiments ........................................................................................................................ 71
4.2.1 Specimen preparation ............................................................................................... 71
4.2.2. Fatigue tests ............................................................................................................ 72
4.3 Results and Discussion ....................................................................................................... 75
4.3.1. Effect of temperature .............................................................................................. 75
4.3.2 Effect of humidity level ........................................................................................... 87
4.3.3 Combined effect of higher temperature and humidity ............................................. 96
4.4 Conclusions ........................................................................................................................ 99
4.5 References ........................................................................................................................ 101
Chapter 5 Mixed-mode fatigue behavior of degraded toughened epoxy adhesive joints ........... 104
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5.1 Introduction ...................................................................................................................... 104
5.2 Experiments ...................................................................................................................... 105
5.2.1 Specimen preparation ............................................................................................. 105
5.2.2 Aging conditions .................................................................................................... 108
5.2.3 Gravimetric measurements .................................................................................... 109
5.2.4 Fatigue tests ........................................................................................................... 109
5.2.5 Measurement of residual adhesive thickness ......................................................... 110
5.3 Results and discussion...................................................................................................... 110
5.3.1 Moisture diffusion .................................................................................................. 110
5.3.2 Fresh open-faced specimens .................................................................................. 113
5.3.3 Aging of joints in constant humidity environments ............................................... 115
5.3.4 Aging of joints in cyclic environment ................................................................... 123
5.4 Conclusions ...................................................................................................................... 127
Appendix 5A Moisture diffusion ........................................................................................... 129
5.5 References ........................................................................................................................ 131
Chapter 6 Effects of aging on the fatigue behavior of two toughened epoxy adhesives ............ 133
6.1 Introduction ...................................................................................................................... 133
6.2 Experimental .................................................................................................................... 134
6.2.1 Open-faced specimen preparation .......................................................................... 134
6.2.2 Aging and test conditions ....................................................................................... 137
6.2.3 Fatigue testing procedures and environment ......................................................... 137
6.2.4 Adhesive rubber tougheners .................................................................................. 138
6.2.5 DMTA .................................................................................................................... 140
6.3 Results and Discussion ..................................................................................................... 140
6.3.1 Gravimetric analysis .............................................................................................. 140
6.3.2 DMTA .................................................................................................................... 142
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6.3.3 Fatigue behavior of joints with adhesive 1 ............................................................ 148
6.3.4 Fatigue behavior of joints with adhesive 2 ............................................................ 166
6.4 Conclusions ...................................................................................................................... 169
6.5 References ........................................................................................................................ 171
Chapter 7 Conclusions and Recommendations ........................................................................... 173
7.1 Conclusions ...................................................................................................................... 173
7.1.1 Fresh adhesive joints .............................................................................................. 173
7.1.2 Water diffusion in toughened epoxy adhesives ..................................................... 173
7.1.3 Effects of test environment .................................................................................... 174
7.1.4 Effects of long-term aging environments .............................................................. 175
7.2 Future work ...................................................................................................................... 177
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List of Tables
Chapter 2
Table 2. 1 Mechanical properties of adhesive and adherends at room temperature. ..................... 8
Table 2. 2 Strain energy release rate and phase angle calculated using finite element model for
laminate adherend and equivalent stiffness adherend specimens. A 600 N load
applied to both adherends for ADCB specimen with crack length of 60 mm. .......... 16
Table 2. 3 G and Ψ obtained from finite element model by changing E of reinforcing adhesive.
A 500 N load was applied to both adherends of the ADCB specimen with crack
length of 60 mm. Sheet thickness was 2 mm and other properties as per Table 2.1. 16
Table 2. 4 G and Ψ obtained from finite element model for different sheet thicknesses. A 500 N
load was applied to both adherends of the ADCB specimen with crack length of 60
mm. ............................................................................................................................ 16
Table 2. 5 Elemental composition (atomic %) of failure surface compared with bare pretreated
sheet and bulk adhesive using XPS analysis. ............................................................. 19
Table 2. 6 Average surface roughness, Ra, measured on the sheet side of the fracture surface
along and across the length of the specimen. Average and standard deviation of
readings from 3 different locations in the threshold region. ...................................... 20
Chapter 3
Table 3. 1 Mechanical and physical properties of adhesives 1 and 2 at room temperature as
supplied by the manufacturers. .................................................................................. 42
Table 3. 2 Different exposure conditions for adhesives 1 and 2 and saturated salt solutions used
to achieve different levels of RH. .............................................................................. 42
Table 3. 3 SDF model parameters obtained by curve fitting the experimental gravimetric results
at different combinations of temperature and RH for adhesive 1. M1∞ values obtained
x
from PDF model are also given. Each data point is given as an average of three
values obtained from the repetitions. SD shows the standard deviation. .................. 47
Table 3. 4 Langmuir model parameters obtained by curve fitting to the experimental gravimetric
results at different combinations of temperature and RH for adhesive system 1. Each
data point is given as an average of three values obtained from the repetitions. SD
shows the standard deviation. .................................................................................... 48
Table 3. 5 SDF model parameters obtained by curve fitting to the experimental gravimetric
results at different combinations of temperature and RH for adhesive 2. M1∞ values
obtained from PDF model are also given. Each data point is an average of three
values obtained from the repetitions. SD shows the standard deviation. .................. 51
Table 3. 6 Langmuir model parameters obtained by curve fitting to the experimental gravimetric
results at different combinations of temperature and RH for adhesive 2. Each data
point is an average of three values obtained from the repetitions. SD shows the
standard deviation. ..................................................................................................... 51
Table 3. 7 Percentage of oxygen atoms associated with different chemical bonds with their
binding energy for fresh, saturated wet and dried samples of adhesives 1 and 2. Each
data point is an average of three repetitions. .............................................................. 66
Chapter 4
Table 4. 1 Temperature and humidity conditions used in fatigue experiments. Number of
thresholds reached and ADCB specimens tested. ...................................................... 73
Table 4. 2 Mechanical properties of adhesive at room temperature as provided by the
manufacturer and of adherends taken from ref. [17,18]............................................. 75
Chapter 5
Table 5. 1 Stages of the cyclic aging environment. Salt spray was applied in the ambient stage
four times for 30 s each. ........................................................................................... 107
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Table 5. 2 SDF model parameters of the adhesive for both humid environments studied. Each
data point is the average of three repetitions, where SD indicates the standard
deviation. .................................................................................................................. 107
Table 5. 3 SDF model parameters of the adhesive immersed in salt water and deionised water.
Each data point is the average of three repetitions, where SD indicates the standard
deviation. .................................................................................................................. 113
Table 5. 4 Moisture diffusion parameters of the adhesive used in the finite element model. Data
is from [17]. .............................................................................................................. 126
Table 5. 5 Moisture concentration (mass of water per unit mass of adhesive) profile at the
adherend-adhesive interface of the open-faced specimen exposed to the cyclic
environment. ............................................................................................................ 127
Chapter 6
Table 6. 1 SDF diffusion model parameters (Eqs. (1) and (2)) of the adhesives for the various
humid environments studied (data from [22]). Each data point is the average of three
repetitions, where SD indicates the standard deviation. .......................................... 136
Table 6. 2 Conditioning environments and the corresponding fractional water uptake (Mt), glass
transition temperature (Tg), and storage modulus at room temperature (ERT) of fresh,
wet, and dry samples of both adhesives. Percentage change in Tg and ERT values
from the fresh sample values of the corresponding adhesive were also included. .. 145
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List of Figures
Chapter 2
Figure 2. 1 Configuration of (a) ADCB and (b) CLS specimens (dimensions in mm, not to
scale). The reinforcing bar (A) was 12.7 mm thick AA6061-T6. The reinforcing
adhesive (B) was 0.4 mm thick, the pretreated sheet (C) was 2 mm thick, and the
primary adhesive (D) was 0.4 mm thick. The second adherend (E) was a 25.4 mm
thick AA6061-T6 bar for the ADCB, and a 12.7 mm thick AA6061-T6 bar for the
CLS specimens. Width of specimens was 19.05 mm. The clip gauge locations on
both geometries are shown. .......................................................................................... 9
Figure 2. 2 Cracked adhesive sandwich with both axial load and moment acting on adherends. 10
Figure 2. 3 Measured Gth for ADCB specimens made with either 2 mm reinforced sheet or 14.9
mm thick bar. Both sheet and bar were of P2-etched AA6061-T6. Three repetitions
in each case, with Gth for each specimen shown above the columns. ........................ 14
Figure 2. 4 Comparison of the measured fatigue crack growth with and without reinforcing
adhesive layer for the same specimens as Fig. 2.3. .................................................... 14
Figure 2. 5 (a) Typical mesh used for the finite element analysis of the reinforced specimen. (b)
Enlarged view of mesh in primary and reinforcing adhesive layer. (c) Enlarged view
of mesh at crack tip where collapsed quarter point singular elements were used. .... 15
Figure 2. 6 Gth values in RD environment for laminated ADCB (phase angle 13) and CLS
(phase angle 50) specimens. Sheet rolling lines either parallel to crack growth
direction (longitudinal) or perpendicular to it (transverse). Three repeats were done
in each case with the threshold values shown above the columns. ............................ 19
Figure 2. 7 Comparison of crack growth rates for laminated ADCB and CLS specimens having
different orientations of the rolling lines on the sheet. Each data series represents a
single specimen from the 3 that were tested. Arrows indicate thresholds and
maximum G reached during the tests. ........................................................................ 20
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Figure 2. 8 Failure surfaces of specimens in threshold region: (a) laminated ADCB-longitudinal
rolling lines, (b) laminated ADCB-transverse rolling lines, (c) laminated CLS-
longitudinal rolling lines, (d) laminated CLS-transverse rolling lines, and (e)
laminated ADCB tested in hot-wet environment with longitudinal rolling lines. In
each figure, A is the laminated adherend, B is the second adherend. Load shedding
occurred in region I to decrease the crack speed, while crack growth was accelerating
away from the threshold in region II. ......................................................................... 22
Figure 2. 9 Gth in different test environments for laminated ADCB specimens. ......................... 24
Figure 2. 10 Comparison of fatigue crack growth when tested in room temperature dry (RD) and
hot-wet environments. The bottom arrow indicates the threshold of a sample
specimen and the top arrow indicates the final Gmax reached. ................................... 24
Figure 2. 11 Beam-on-elastic-foundation model. ........................................................................ 29
Figure 2. 12 G calculated using FE model and analytical model for an ADCB specimen at
different crack lengths. A 600 N load was applied to both adherends of the ADCB
specimen as shown in Fig. 2.1(a). .............................................................................. 30
Figure 2. 13 G calculated using FE model and analytical model for a CLS specimen at different
crack lengths. A 9,450 N axial load was applied to both loading pins as shown in
Fig. 2.1(b). .................................................................................................................. 31
Chapter 3
Figure 3. 1 Schematic illustration of the sequential dual Fickian (SDF) model. .......................... 38
Figure 3. 2 Measured fractional mass uptake versus square root of time and the least-squares fits
based on the SDF, Langmuir and PDF models at three RH levels for adhesive 1 at
20°C. Each data point is an average of three repetitions. ......................................... 44
Figure 3. 3 Measured fractional mass uptake versus square root of time and the least-squares fits
based on the SDF, Langmuir and PDF models at five RH levels for adhesive 1 at
40°C. Each data point is an average of three repetitions. ......................................... 45
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Figure 3. 4 Measured fractional mass uptake versus square root of time and the least-squares fits
based on the SDF, Langmuir and PDF models at three RH levels for adhesive 1 at
60°C. Each data point is an average of three repetitions. ......................................... 46
Figure 3. 5 Measured fractional mass uptake versus square root of time and the least-squares fits
based on the SDF, Langmuir and PDF models at 95% RH and three different
temperatures for adhesive 2. Each data point is an average of three repetitions. ..... 50
Figure 3. 6 Variation of first diffusion coefficient, D1 with temperature for adhesives 1 and 2.
At each temperature, D1 was taken as the average obtained from different RH
conditions. Linear fit to the Arrhenius equation (Eq. (18)) with the slope equal to –
Q/R. ............................................................................................................................ 53
Figure 3. 7 Variation of the first and second saturated fractional mass uptake values, M1∞ and
M2∞ with temperature at 95%, 82% and 43% RH for adhesive 1. The lines are least
square fits. Each data point is an average of three repetitions. ................................. 55
Figure 3. 8 Variation of the transition time with temperature at 95% RH for both adhesives.
Each data point is an average of three values obtained from the repetitions. The lines
show least square regressions between td and exp(1/T) and the slopes of the lines give
the values of Q/R. ....................................................................................................... 57
Figure 3. 10 Variation of β and γ probabilities with temperature at 82% RH for adhesive 1. Each
data point is an average of three values obtained from the repetitions. The lines show
least square regressions between the probabilities and exp(1/T). .............................. 59
Figure 3. 11 Variation of β and γ probabilities with RH at temperatures of 40°C and 60°C for
adhesive 1. Each data point is an average of three values obtained from the
repetitions. The lines are only to guide the trends. ................................................... 59
Figure 3. 12 Fractional retained mass during drying versus square root of time, fitted with the
simple Fickian model for adhesive 1 initially saturated at 20°C and different RH.
Each data point is an average of three repetitions. ..................................................... 61
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Figure 3. 13 Fractional retained mass during drying versus square root of time, fitted with
simple Fickian models for adhesive 1 initially saturated at 40°C and different RH.
Each data point is an average of three repetitions. ..................................................... 61
Figure 3. 14 Fractional retained mass during drying versus square root of time and fitted simple
Fickian models for adhesive 1 initially saturated at 60°C and different RH. Each data
point is an average of three repetitions. ..................................................................... 62
Figure 3. 15 Fractional retained mass profile during drying versus square root of time and fitted
simple Fickian model for adhesive 2 initially saturated at 60°C-95%RH. Each data
point is an average of three repetitions. ..................................................................... 62
Figure 3. 16 Variation of minimum fractional retained water, Mr with the temperature of
absorption condition at different RH levels for adhesive 1. Each data point is an
average of three repetitions. The linear least square fits show the general trends. ... 63
Figure 3. 17 Variation of minimum fractional retained water, Mr with the RH of the absorption
condition at different temperatures for adhesive 1. Each data point is an average of
three repetitions. The linear least square fits show the general trends. ..................... 64
Figure 3. 18 Variation of minimum fractional retained water, Mr with the ambient water
concentration achieved during different exposure conditions for adhesive 1. Each
data point is an average of three repetitions. The linear least squares fit shows the
general trend. .............................................................................................................. 64
Figure 3. 19 Variation of minimum fractional retained water during the desorption process with
the saturated fractional mass uptake, M∞ for adhesive 1. Each data point is an
average of three repetitions. The linear least square fit shows the general trend...... 65
Chapter 4
Figure 4. 1 Configuration of ADCB specimen (dimensions in mm, not to scale). Width of
specimen was 19 mm. The clip gauge mounting location is also shown. ................. 72
Figure 4. 2 Configuration of reinforced ADCB specimen (dimensions in mm, not to scale). The
reinforcing bar (A) and second adherend (E) were 12.7 mm and 25.4 mm thick
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AA6061-T6 bars, respectively. The reinforcing adhesive (B) and primary adhesive
(D) were 0.4 mm thick, and the pretreated sheet (C) was 2 mm thick. Width of
specimen was 19 mm. The clip gauge mounting location is also shown. ................. 72
Figure 4. 4 Effect of temperature on fatigue crack growth behavior of P2-etch pretreated ADCB
joints. Two of three experimental results shown for each temperature. ................... 78
Figure 4. 5 Effect of temperature on the fatigue crack growth behavior of P2-etch pretreated
ADCB joints. Each line is a linear regression fit of all the data points lying on the
Paris law (linear) region at a temperature, as show in Fig. 4.4. ................................. 79
Figure 4. 6 Failure surfaces on the thinner adherend of joints tested under dry conditions at
temperatures of (a) 20ºC, (b) 40ºC, and (c) 80ºC. In cases where a single specimen
was used to reach two thresholds, both threshold regions are indicated. ................... 80
Figure 4. 7 Typical profiles of fracture surfaces measured across the specimen width on the
more highly-strained adherend at G values of: (a) 750 and (b) 147 J/m2 for specimens
tested at 80ºC. The corresponding residual adhesive thickness values are given in
legend. 0 µm on vertical axis corresponds to interface between highly-strained
adherend and adhesive. .............................................................................................. 82
Figure 4. 8 Thickness of the remaining adhesive on the more highly-strained adherend as a
function of applied Gmax. ............................................................................................ 83
Figure 4. 9 Multi-linear model used for the adhesive at both room temperature (tensile test) and
at 80ºC (elastic modulus and proportionality limit reduced by 50% of room
temperature values). ................................................................................................... 85
Figure 4. 10 Effect of G on the (a) plastic zone thickness, and (b) plastic zone size, both at room
temperature and at 80ºC obtained using FE model for ADCB specimen. ................. 86
Figure 4. 11 Effect of RH on Gth for P2-etch pretreated ADCB joints tested at 40ºC. Given
values are average Gth (error bars indicate ± standard deviation). Numbers above
each data point indicate the number of thresholds reached and the number of
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specimens tested, respectively; these two numbers are different in cases where a
single specimen was used to reach two thresholds. ................................................... 89
Figure 4. 12 Effect of RH on the fatigue crack growth behavior of P2-etch pretreated ADCB
joints tested at 40ºC. Each data series is from a single specimen. ............................ 89
Figure 4. 13 Moisture concentration versus distance ahead of crack tip for exposure to 40ºC-
95%RH environment at different crack growth rates. Crack tip radius assumed as 1
µm. ............................................................................................................................. 90
Figure 4. 14 Magnified image of a crack opening viewed from the side of the specimen showing
reflection from condensed water at the interface. Crack tip is to the right of the
image. ......................................................................................................................... 90
Figure 4. 15 Failure surface of the joints tested at 40ºC and under RH levels of (a) 0%, (b) 43%,
(c) 95% and (d) 100%. On each failure surface the threshold region is indicated. ... 92
Figure 4. 16 Magnified image of the failure surface on the highly-strained adherend at threshold
region for P2-etch pretreated joints tested under RH levels of (a) 95% and (b) 100%.
.................................................................................................................................... 93
Figure 4. 17 Negative ToF-SIMS spectra of the bare P2-etched aluminum and failure surface in
the mass/charge (m/z) ranges of (a) 0-200 m/z, and (b) 200-400 m/z. The failure
surface was from the P2-etch pretreated joint tested at 40C-100% RH in the
threshold region on the thin adherend side. ............................................................... 95
Figure 4. 18 Effect of test environment on the Gth of ADCB joints made with P2-etch and CC
pretreatments. Number above each data point indicates the number of specimens
tested in each case, and error bars indicate the standard deviation in each case.
Each specimen was used to reach a single threshold. ................................................ 97
Figure 4. 19 Effect of test environment on fatigue crack growth behavior of ADCB joints made
with P2-etch and CC pretreatments. Each data series represent a single specimen. . 98
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Figure 4. 20 Negative ToF-SIMS spectra of the failure surface between (a) 0-200 m/z, and (b)
200-400 m/z. The failure surface was from the CC pretreated joint tested at 40C-
100% RH in the threshold region on the thin adherend side. .................................... 99
Chapter 5
Figure 5. 1 Open-faced specimen used for aging. The arrows indicate the direction of moisture
diffusion into the primary adhesive layer. ............................................................... 107
Figure 5. 2 Configuration of open-faced reinforced ADCB specimen after being closed
(dimensions in mm, not to scale). The thickness of primary, secondary, and
reinforcing adhesive layers are 0.4, 0.25, and 0.4 mm, respectively, and the thickness
of the sheet is 2 mm. Width of the specimen was 19 mm. The location of the clip
gauge is also shown. The upper adherend is the open-faced adherend shown in Fig.
5.1. ............................................................................................................................ 108
Figure 5. 3 Measured fractional mass uptake versus square root of time and the least-squares fits
based on SDF model (Appendix) when immersed in salt water and deionised water at
(a) room temperature and (b) 40ºC. Each data point is an average of three
repetitions. The standard deviation in each case was approximately 2%. .............. 112
Figure 5. 4 Measured Gth of fresh closed and open-faced joints tested in a room temperature and
dry air environment. The 3 test repetitions are shown in each case, with Gth for each
specimen shown above the columns. ....................................................................... 114
Figure 5. 5 The measured fatigue crack growth rate curves of unaged closed and unaged open-
faced joints tested in a room temperature and dry air environment. ........................ 115
Figure 5. 6 Fatigue threshold vs. aging time for specimens aged under 40ºC-95% RH and
60ºC-95% RH environments. Trend lines show the exponential regression lines fit to
the data. Numbers next to each data point indicate the number of thresholds reached
and the number of specimens tested, respectively; these two numbers are different
cases where a single specimen was used to reach two thresholds. Error bars represent
the range of the measurements. ................................................................................ 116
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Figure 5. 7 Repetitions of the measured fatigue crack growth rate curves of specimens aged for
60 days at 40°C–95% RH and 60°C–95% RH. Two specimens aged at each
condition. .................................................................................................................. 118
Figure 5. 8 Measured fatigue crack growth rate curves of specimens aged at (a) 40°C–95% RH
and (b) 60°C–95% RH. Aging time in days is given in the legend. ....................... 119
Figure 5. 9 Effect of aging temperature on the crack growth rate curves for specimens aged for
(a) 1 week, (b) 2 weeks, (c) 1 month, and (d) 2 months. Each line is the least-squares
fit to the linear Paris region of the crack growth curves shown in Fig. 5.8. ............ 121
Figure 5. 10 Fracture surfaces on the more highly-strained (reinforced) adherend for: (a) unaged
joint, (b) 2 weeks aged at 60ºC – 95% RH, and (c) 4 months aged at 60ºC – 95% RH.
.................................................................................................................................. 122
Figure 5. 11 Thickness of the residual adhesive on the fracture surface of the more highly-
strained adherend as a function of crack growth rate for a fresh joint and a joint aged
for four months at 60ºC – 95% RH. ......................................................................... 123
Figure 5. 12 Fatigue threshold versus aging time for open-faced specimens aged in the cyclic
environment. Numbers next to each data point indicate the number of thresholds
reached and the number of specimens tested, respectively; these two numbers are
different cases where a single specimen was used to reach two thresholds. The error
bars show ± 1 standard deviation. ............................................................................ 125
Figure 5. 13 Crack growth rates versus applied Gmax for specimens aged in the cyclic
environment. Three specimens at each aging condition. ........................................ 126
Chapter 6
Figure 6. 1 Open-faced specimen used for aging. The arrows indicate the direction of moisture
diffusion into the primary adhesive layer. The adherend is the thinner one in the
ADCB (Fig. 6.2) and was therefore subject to greater bending strain during fracture
testing. ...................................................................................................................... 136
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Figure 6. 3 FESEM micrograph that shows the rubber particles dispersed in the epoxy matrix for
(a) adhesive 1, and (b) adhesive 2. Approximate size of rubber particles is 1 µm and
0.2 µm for adhesives 1 and 2, respectively. ............................................................. 139
Figure 6. 4 Illustration of the sequential dual Fickian (SDF) model for water absorption and the
simple Fickian model for water desorption. ............................................................. 142
Figure 6. 5 Dynamic storage modulus (a) and loss modulus (b) as a function of temperature for
adhesive 1 measured using DMTA. Samples of adhesive as-cured, and tested after 5
days exposure to the 60C-95%RH environment without being dried (“wet” state)
and after drying to remove absorbed, unbound water (“dry” state). ........................ 146
Figure 6. 7 Fatigue threshold as a function of square root of aging time for adhesive 1 specimens
aged at 95% and 43% RH at temperatures of (a) 40ºC and (b) 60ºC. Trend lines are
the least-square fits of Eq. (3) to the measured data. Numbers next to each data point
indicate the number of thresholds reached and the number of specimens tested,
respectively; these two numbers are different in cases where more than one threshold
was reached using a single specimen. Error bars represent the range of the
measurements. .......................................................................................................... 150
Figure 6. 8 Gth,∞ values in different aging environments and the Gth of fresh specimens. Average
threshold values are shown above the columns and the error bars represent ±1
standard deviation. ................................................................................................... 151
Figure 6. 9 Least-squares fits of Eq. (3) for the data of Fig. 6.7 at 95% RH. ............................. 151
Figure 6. 10 Measured fatigue crack growth rate curves for adhesive 1 specimens aged at: (a)
40°C – 43% RH, (b) 40°C – 95% RH, (c) 60°C – 43% RH, and (d) 60°C – 95% RH.
Aging times in days are given in the legend. ........................................................... 155
Figure 6. 11 Variation of crack growth rate curves with aging time for adhesive 1 specimens
aged at: (a) 40°C–43% RH, (b) 40°C–95% RH, (c) 60°C–43% RH, and (d) 60°C–
95% RH. Each line is the least-squares fit to the linear Paris region of the crack
growth curves shown in Fig. 6.10. Aging times in days are given in the legend. .. 157
xxi
Figure 6. 12 Effect of aging environment on the crack growth rate curves for adhesive 1
specimens aged for: (a) 7, (b) 21, (c) 45, (d) 90, (e) 150, and (f) 240 days. Each line
is the least-squares fit to the linear Paris region of the crack growth curves shown in
Fig. 6.10. .................................................................................................................. 160
Figure 6. 13 Fracture surfaces on the more highly-strained (reinforced) adherend for adhesive 1
specimens that were: (a) unaged, (b) aged for 21 days at 40ºC – 95% RH, and (c)
aged for 150 days at 40ºC – 95% RH. In each case, the fatigue region is to the left of
the arrow showing where Gth occurred. After reaching Gth, specimens were
fractured, except for (c) where the fatigue process was repeated. ........................... 161
Figure 6. 15 Differences in the crack growth rates for adhesive 1 with similar EIT values that
were aged at different RH at aging temperatures of (a) 40ºC and (b) 60ºC. EIT values
of specimens are given in the legend (multiplied by 106 g/g.s). Each line is the least-
squares fit to the linear Paris region of the crack growth curves shown in Fig. 6.10.
.................................................................................................................................. 165
Figure 6. 16 Fatigue threshold vs. aging time for adhesive 2 specimens aged at 60ºC and 95%
RH. Numbers next to each data point indicate the number of thresholds reached and
the number of specimens tested, respectively. Error bars represent the range of the
measurements. .......................................................................................................... 167
Figure 6. 17 Measured fatigue crack growth rate curves for adhesive 2 specimens aged at 60°C–
95% RH. Aging time is given in the legend. .......................................................... 167
xxii
List of Appendices
Chapter 2
Appendix 2A Adhesive stresses for unequal adherends [7] ........................................................ 26
Appendix 2B Comparison of G calculated using FE and analytical model ................................ 30
Chapter 5
Appendix 5A Moisture diffusion ................................................................................................ 129
1
Chapter 1 Introduction
1.1 Background and motivation
Adhesively bonded joints offer many benefits over traditional bolted, welded and riveted
joints by their ability to join dissimilar materials, high strength to weight ratios, and improved
stress distribution within the joint. These benefits have led to increasing use of adhesives in
widespread applications, especially in automotive industry.
Presently the use of adhesives joints in the automotive industry is limited to non-critical
structures, and rarely used for highly-loaded structures. This limitation is due to the uncertainty
regarding long-term reliability, particularly after exposure to hot, wet environments and cyclic
loading. The strength of adhesive joints usually decreases in humid and high temperature
environments with prolonged exposure time. Moreover, joint strength is much lower under
cyclic loads compared to monotonic loading. Therefore, an understanding of degradation
mechanisms and the ability to predict long-term fatigue behavior is crucial to the design of
reliable automotive joints.
The fatigue behavior of aged adhesive joints is usually studied using actual “closed”
specimens. The limitations of these specimens are they take a long time to degrade due to the
length of the diffusion paths, and the degradation is non-uniform across the joint area, being
greatest at the exposed edges. This non-uniform degradation makes it difficult to associate a loss
of joint strength with a particular level of degradation. Recent studies have overcome this
limitation using “open-faced” specimens in which the adhesive is applied to only one adherend,
subject to environmental aging, and then bonded to a second adherend to make the final fracture
specimen. This reduces the water diffusion path to the thickness of the adhesive layer over the
entire joint area, thus producing a relatively uniform state of moisture concentration and
degradation in a relatively short period of time. Though open-faced specimens have been used
for fracture studies, their applicability to study fatigue behavior has not been examined.
2
1.2 Objectives
The objectives for this PhD research were:
(a) Develop a method to measure the fatigue threshold and the crack growth rates of
environmentally degraded adhesive joints. The method should minimize the time required to
characterize adhesive systems and be general enough to be applicable to automotive structures.
(b) Identify and explain the mechanisms of environmental degradation in toughened
epoxy adhesive joints.
(c) Asses the applicability of the “environmental index” (EI), defined as the integral of
water concentration over time, as a means of characterizing an aging history.
1.3 Overview of thesis
Two different proprietary, commercial DGEBA-based heat-cured rubber-toughened
structural epoxy adhesives were studied in this research.
Firstly, a reinforced specimen that voids yielding of the thin aluminum sheet adherend
was developed to measure the crack growth rates and the fatigue threshold of adhesive joints.
These reinforced specimens facilitated the characterization of automotive joints that are usually
made of thin sheet adherends. These reinforced specimens were used to study the effects of
loading phase angle and hot-wet test environments on the fatigue behavior of adhesive 1. The
effect of the sheet rolling-line orientation was also investigated. All the fatigue tests for this
research were done on load frames located at Engineering Materials Research, Downsview, ON.
The results and conclusions of this study are given in Chapter 2. This chapter has been published
in the International Journal of Adhesion and Adhesives and was presented in a conference as:
N.V. Datla, M. Papini, J.A. Schroeder, J.K. Spelt, Modified DCB and CLS specimens for mixed-
mode fatigue testing of adhesively bonded thin sheets, International Journal of Adhesion and
Adhesives, 30 (2010) 439-447.
N.V. Datla, M. Papini and J.K. Spelt, Fatigue tests of reinforced sheet specimen: Effects of
reinforcing adhesive layer, 32nd Annual Meeting of The Adhesion Society, Savannah, GA, USA,
Feb. 2009.
3
In Chapter 3 describes the water absorption and desorption properties of adhesive 1 and
adhesive 2 measured over a wide range of temperature and relative humidity. The data were
fitted to a new diffusion model in which Fick’s law was assumed to act in two sequential stages,
each with its own diffusion coefficient and saturated water concentration. This “sequential dual
Fickian” (SDF) model and a Langmuir-type diffusion model are both able to model the
absorption behaviour. The dependence of the SDF model parameters on temperature and RH
was investigated in detail. The two adhesives were selected to establish the generality of the
SDF model and because they demonstrated different fatigue durability behavior. These tests
have been done in collaboration with another Ph.D. student (A. Ameli) and the chapter has been
published in the Journal of Adhesion as:
A. Ameli, N.V. Datla, M. Papini, and J.K. Spelt, Hygrothermal properties of highly toughened
epoxy, Journal of Adhesion, 86 (2010) 698-725.
Chapter 4 describes the effects of test environment humidity and temperature on the
fatigue threshold and crack growth behavior of P2-etched and commercial coil-coated (CC)
aluminum adhesive joints under mixed-mode loading. The experiments isolated the effects of
pretreatment, temperature and humidity on both the fatigue threshold and the crack growth rates.
Finally, the combined effects of elevated temperature and humidity in hot-wet tests were
explained from this understanding of the individual effects of temperature and humidity.
Adhesive 1 was used in this study. This chapter has been accepted for publication in
Engineering Fracture Mechanics and was presented in a conference as:
N.V. Datla, M. Papini, J. Ulchni, B. Carlson and J.K. Spelt, The effects of test temperature and
humidity on the mixed-mode fatigue behaviour of a toughened adhesive aluminum joint,
Engineering Fracture Mechanics, 76 (2011) 1125-1139.
N.V. Datla, M. Papini and J.K. Spelt, Effect of humidity and temperature on the fatigue
behaviour of a toughened epoxy adhesive, 33rd Annual Meeting of The Adhesion Society,
Daytona Beach, FL, USA, Feb. 2010.
4
Open-faced specimens that accelerate the aging process by decreasing the water diffusion
path have been used in the work described in Chapters 4 and 5 to study the long-term fatigue
behaviour of adhesive joints. Chapter 4 investigates the effect of the aging environment on the
mixed-mode fatigue behavior of adhesive joints with coil-coated sheet adherends and adhesive 1.
The experiments illustrated the effects of aging time and temperature on both the fatigue
threshold and the crack growth rates. The experiments also compared the durability of joints
aged in constant humidity and cyclic environments. This chapter has been published in the
International Journal of Adhesion and Adhesives as:
N.V. Datla, M. Papini, J. Ulchni, B. Carlson and J.K. Spelt, Mixed-mode fatigue behavior of
degraded toughened epoxy adhesive joints, International Journal of Adhesion and Adhesives,
Vol. 31, pp. 88-96, 2011.
In Chapter 5, aged open-faced ADCB specimens made with adhesive 1 and adhesive 2
were subject to cyclic loading under mixed-mode conditions. The degradation of the fatigue
thresholds and crack growth rates were quite different, and illustrated the effects of
environmental degradation of the matrix and toughener as a function of aging time, temperature,
and relative humidity (RH) on both the fatigue threshold and crack growth rates. Differences in
the water absorption properties and dynamical mechanical thermal analysis (DMTA) of the two
adhesives were used to explain the differences in the fatigue degradation behavior. The data was
used to evaluate whether a unique degradation parameter exists that can combine the effects of
both exposure time and water concentration. This chapter is being prepared as a journal
publication and has been presented in a conference as:
N.V. Datla, M. Papini and J.K. Spelt, Effects of aging on the fatigue behavior of two toughened
epoxy adhesives, in preparation.
N.V. Datla, M. Papini and J.K. Spelt, Fatigue behavior of degraded adhesive joints measured
using open-faced specimens, 34th Annual Meeting of The Adhesion Society, Savannah, GA,
USA, Feb. 2011.
5
Finally, Chapter 7 lists the major conclusions of the research and recommends future
work.
6
Chapter 2 Modified DCB and CLS Specimens for Mixed-mode Fatigue
Testing of Adhesively Bonded Thin Sheets
2.1 Introduction
Aluminum and steel sheet is usually pretreated to improve the strength and durability of
adhesive bonds. In cases where the pretreatment is applied continuously to large coils of sheet
material by, for example roll or bar coating, the pretreatment cannot be reliably reproduced on
thicker plate or bars. Consequently, realistic fracture and fatigue test specimens must be made of
relatively thin sheet. This can greatly limit the maximum loads and strain energy release rates
that can be applied to the joint before the thin sheets yield. However, it is frequently desirable to
be able to assess the fracture, fatigue and durability of the pretreatment over a wider range of
strain energy release rates. This can facilitate comparison with data for other pretreatments as
well as simulating the loading conditions in practical joints, such as those in automobile and
truck frames that can be made of laminates of several thin sheets or sheets and thicker structural
members. In addition, the generation of mixed-mode loading conditions during fracture and
fatigue testing of adhesive joints often requires an asymmetric double cantilever beam specimen.
In this case, the requirement to use coil-coated thin sheet as the primary bonding surface
necessitates the lamination of the sheet to a stiffening member.
To overcome these limitations on the testing of thin sheet, Jethwa et al. [1] created a
mode I fracture specimen by laminating a thin sheet to a bar using a reinforcing adhesive, but
they found it difficult to avoid cracking in the reinforcing adhesive. They attributed this to
higher shear and out-of-plane tensile stresses in the reinforcing adhesive. The specimen was
then modified successfully by capturing the edges of the sheet within two wedge-shaped grooves
machined into the raised sides of the reinforcing bar. The sheet was then inserted lengthwise
into the grooves over top of the reinforcing adhesive which filled the gap between the sheet and
the steel bar. Although this prevented crack growth in the reinforcing adhesive layer, the
specimen is cumbersome to manufacture. Furthermore, the paper did not consider the possible
effect of the additional compliance introduced by the presence of the reinforcing adhesive layer
on the calculation of the strain energy release rate, (GI and GII are the mode I and
7
mode II strain energy release rates, respectively) and the phase angle, . In
the present study, reinforcement was used to study the mixed-mode fatigue behavior of joints
made with a highly-toughened epoxy adhesive and aluminum sheet that had been commercially
coil coated. Crack growth rates and threshold strain energy release rates, Gth, were measured in
dry and humid environments at several phase angles. The effect of the sheet rolling-line
orientation was also investigated.
2.2 Experiments
2.2.1 Reinforced sheet specimen
Asymmetric double cantilever beam (ADCB) and CLS specimens were made using
single-part, heat-cured rubber toughened adhesive and 2 mm thick AA5754-O aluminum sheet
with a commercial coil-coated pretreatment. The sheets were stiffened by laminating them to
AA6061-T6 aluminum bars using a “reinforcing adhesive” as illustrated in Fig. 2.1. The rolling
lines on the sheet gave an average roughness, Ra, of 0.21 μm parallel to the lines and 0.39 μm in
the transverse direction, measured using an optical profilometer (NANOVEA ST400, Micro
Photonics Inc. CA, USA).
A crack under mixed-mode loading tends to follow a path of maximum mode I, bringing
it closer to the more highly strained adherend [2]. Hence, the mixed-mode fatigue behavior is
most sensitive to the pretreatment on the more highly-strained adherend, which in the present
situation was the reinforced pretreated sheet. The opposing adherend was a bar of AA6061-T6
aluminum with the P2-etch pretreatment consisting of an aqueous solution of ferric sulfate and
sulfuric acid as prescribed in ASTM D2651 [3]. Table 2.1 lists the mechanical properties of the
adhesive, sheet and reinforcing aluminum bar obtained from manufacturer.
During the validation stage, some ADCB specimens were also made with 2 mm thick
AA6061-T6 sheets having the P2-etch pretreatment rather than the coil-coated AA5754-O.
8
Table 2. 1 Mechanical properties of adhesive and adherends at room temperature.
Adhesive AA5754-O AA6061-T6
Young’s Modulus (GPa) 1.96 68.9 68.9
Poisson ratio 0.45 0.33 0.33
Yield stress (MPa) 40 165 255
Prior to bonding, the pretreated sheet was wrapped with tissue paper, clamped between
the two bar adherends, and the sandwich was milled to a uniform width. The pretreated sheet
was then gently wiped with acetone using a cheese cloth. One surface of the sheet was bonded
to the AA6061-T6 bar using the reinforcing adhesive to form a “laminated adherend”, the other
surface of the sheet was bonded to the other AA6061-T6 bar using the “primary adhesive” (Fig.
2.1). The same adhesive was used as both the primary and reinforcing adhesives. A bond-line
thickness of 0.4 mm was achieved by placing piano wires in both the primary and reinforcing
adhesive layer. Both the primary and the reinforcing adhesive layers were cured in a single
curing cycle, by placing the assembly in an oven at 180°C for 30 min, as prescribed by the
adhesive manufacturer. The assembly was clamped using large binder clips (25.4 mm wide by
50.8 mm long, from ACCO Brands) that were centred directly over the spacing wires in the
primary and the reinforcing adhesive to avoid uneven clamping. Furthermore, since both the
primary and reinforcing adhesive were the same and had the same thickness and cure profile, the
residual stress was balanced on both sides of the sheet, thereby preventing bending of the sheet
during cure.
9
(a) ADCB
(b) CLS
Figure 2. 1 Configuration of (a) ADCB and (b) CLS specimens (dimensions in mm, not to
scale). The reinforcing bar (A) was 12.7 mm thick AA6061-T6. The reinforcing adhesive (B)
was 0.4 mm thick, the pretreated sheet (C) was 2 mm thick, and the primary adhesive (D) was
0.4 mm thick. The second adherend (E) was a 25.4 mm thick AA6061-T6 bar for the ADCB, and
a 12.7 mm thick AA6061-T6 bar for the CLS specimens. Width of specimens was 19.05 mm.
The clip gauge locations on both geometries are shown.
To ensure crack propagation in the primary adhesive, a 10 μm thick aluminum foil was
folded and placed in the primary adhesive to act as a form of precrack. The precrack length, a,
10
for the CLS specimens was of 30 mm from the start of the joint overlap, while that for the ADCB
specimens was 50 mm from the loading pins.
Need for reinforcement
The maximum strain energy release rate, Gmax, that can be applied before yielding a
mode-I DCB specimen made of 2 mm thick sheets of AA5754-O was estimated using [4]:
33
2
3
33
2
3
22
2
2
22
2
2
11
2
1
11
2
1
222222 IE
M
hE
P
IE
M
hE
P
IE
M
hE
PG
(1)
where Pi and Mi are the normal force and the moment, respectively, per unit width acting on the
ith cross-sectional centroid at the crack tip. Ii is the second moment of area per unit width, Ei is
the modulus of elasticity, and hi is the beam thickness. The subscripts 1 and 2 refer to the
adherends and subscript 3 refers to the compound beam to the right of the crack tip as shown in
Fig. 2.2. Using the mechanical properties of the sheet (Table 2.1), in this case the sheet would
begin to yield at Gmax=136 J/m2 which was only 3% of the critical strain energy release rate, Gc,
obtained in a fracture test with the same adhesive [5]. This greatly limited the range of fatigue
crack growth rates that could be studied without yielding the sheet adherends, necessitating the
need for reinforcement.
Figure 2. 2 Cracked adhesive sandwich with both axial load and moment acting on adherends.
2.2.2 Fatigue tests
Fatigue testing was performed with a servo-hydraulic load frame under force control
using a sinusoidal waveform at a frequency of 20 Hz. A constant load ratio (ratio of minimum to
11
maximum load, Pmin/Pmax) of 0.1 was used. The specimens were enclosed in a chamber to
control both temperature and humidity. The dry air condition (11% - 15% relative humidity,
RH) was achieved by placing desiccant inside the chamber, and the humid condition (100% RH)
was maintained by circulating air over a water surface in a duct using a fan.
The manually-controlled, discrete-step load shedding method was used to reach Gth,
which was defined as a crack growth rate of 10-6
mm/cycle [6]. The crack was initiated from the
foil precrack by applying a Gmax higher than the expected threshold and a crack in the primary
adhesive layer was then grown about 2 mm before manual load shedding was started. In each
load shedding step, both Pmax and Pmin were reduced by 5% to maintain a constant load ratio after
a crack growth of at least 0.5 mm. After the threshold was reached, cycling was continued with
constant Pmax and Pmin in order to obtain the crack growth rate as a function the applied G.
Because the crack length increased while the loads were held constant, this produced
accelerating crack growth.
Crack length measurements
The crack length was monitored using both optical and specimen compliance methods.
Optical measurements were performed using a CCD camera mounted on a motorized linear
stage. A telescopic lens attached to the camera allowed a field of view of 2 mm. To obtain clear
photographs of the crack, the specimen cycling was stopped and held at the mean load for 15 s
every 9,000 cycles. The specimen compliance was obtained from the relationship between the
crack opening and the applied force during the unloading portion of the loading cycle. A clip
gauge (Model 3541, Epsilon Technology Corp., Jackson, WY, USA) recorded the normal
opening at the loading points in the ADCB specimen and the normal opening at the precrack end
of overlap in the CLS specimens (Fig. 2.1).
A polynomial relationship between the optically observed crack length and the specimen
compliance was established according to ASTM E647 [6]. The crack length inferred from this
relationship was used in subsequent calculations of crack growth rate and G based on the
continuous clip gauge compliance data.
Strain energy release rate calculations
12
A beam-on-elastic-foundation model for unequal adherends [7] was used to calculate G
and Ψ for both ADCB and CLS specimens as described in Appendix A. The laminated adherend
was modeled as an aluminum bar of the same width and equivalent bending stiffness, calculated
using simple composite beam theory. This analytical model differed by less than 6% from a
finite element model in the prediction of G, (Appendix B). The phase angles for the ADCB and
CLS specimens were 13° and 51°, respectively, calculated using the beam-on-elastic-foundation
model [7]. Over the range of crack lengths and applied loads used in the experiments, there was
a negligible change in the phase angle for both specimen geometries as a crack grew; i.e.
increased by only 2° and 1° for ADCB and CLS specimens, respectively.
2.3 Results and discussion
2.3.1 Effect of reinforcing adhesive
The fatigue behavior of an ADCB specimen with a laminated adherend (Fig. 2.1(a)) was
compared with an equally stiff monolithic ADCB specimen; i.e. the laminated adherend in Fig.
2.1(a) was replaced with a monolithic AA6061-T6 aluminium bar having the same bending
stiffness, which was achieved by adjusting the bar thickness to 14.9 mm [8]. Since the adherend
stiffnesses of both specimens were nearly same, the phase angles were also very similar,
differing by less than 1°. Since it was not possible to apply the sheet coil-coated pretreatment on
the thick adherend, the P2-etch pretreatment was used on both the solid bar and on the 2 mm
thick AA6061-T6 sheet for this validation study.
Figure 2.3 shows that both the monolithic and the laminated specimen geometries had
essentially the same fatigue thresholds in a room temperature dry air (RD) environment; average
values of Gth were 157 and 165 J/m2, respectively (Gth defined as Gmax at threshold). Similarly,
Fig. 2.4 shows that the fatigue crack growth behaviour over a wide range of crack speeds was
indistinguishable between the reinforced specimens (average slope m=3.89±0.34 standard
deviation based on 3 specimens) or the monolithic ones (m=3.73±0.18). These differences in Gth
and crack growth rate between laminate and monolithic specimens were insignificant at the 95%
confidence level using the t-test.
A two-dimensional finite element analysis was used to examine the change in the stress
state at the crack tip due to the compliant reinforcing adhesive layer in the laminated and
13
monolithic specimen geometries described above. The two specimen geometries were modelled
using a total of 7158 8-node PLANE183 elements (ANSYS 12.0, Canonsburg, PA, USA).
Further refinement of the mesh did not change the calculated G by more than 0.1%, which
ensured that the results were independent of the mesh. The crack tip was assumed to be in the
middle of the primary adhesive layer and was modelled using collapsed quarter-point singular
elements (Fig. 2.5). The material properties of Table 2.1 were used for the model, and the G was
calculated using virtual crack extension method [9]. To calculate the phase angle, mixed-mode
stress intensity factors (SIF) were calculated using the displacement extrapolation method (using
KCALC in ANSYS). The G and the local phase angle were calculated at the crack tip under
loading conditions that produced a G close to the threshold value reached in the experiments.
The results shown in Table 2.2 confirmed that only a very small decrease in the local phase angle
was observed in the laminated adherend specimen. Similarly, the calculated G was essentially
unchanged by the presence of the reinforcing adhesive. It was thus concluded that the effect of
the compliant reinforcing adhesive layer on the stress state at the crack tip in the primary
adhesive was negligible. Therefore, the fatigue crack growth measured as a function of the strain
energy release rate and phase angle in a reinforced thin-sheet specimen is indeed a characteristic
of the sheet-adhesive system, being unaffected by the presence of the reinforcing adhesive and
adherend.
These results were generalized for reinforcing adhesives of different stiffness and for
sheets of various thickness using the above finite element model. Table 2.3 shows that the effect
of reinforcing adhesive tensile modulus, E, is small; e.g. decreasing E by a factor of 4, increased
G by only 6%. Similarly, decreasing the sheet thickness from 2 mm to 0.5 mm, changed G by
less than 1%. Therefore, the use of a laminated adherend to test thin sheet is applicable to a wide
range of sheet thicknesses and reinforcing adhesives.
14
Figure 2. 3 Measured Gth for ADCB specimens made with either 2 mm reinforced sheet or 14.9
mm thick bar. Both sheet and bar were of P2-etched AA6061-T6. Three repetitions in each
case, with Gth for each specimen shown above the columns.
Figure 2. 4 Comparison of the measured fatigue crack growth with and without reinforcing
adhesive layer for the same specimens as Fig. 2.3.
152 150160 155
184167
0
40
80
120
160
200
Reinforced sheet Bar adherend
Gth
, J/m
2
-8
-7
-6
-5
-4
-3
-2
2 2.2 2.4 2.6 2.8 3
Lo
g(d
a/d
N),
mm
/cycle
Log(Gmax), J/m2
Bar1
Bar2
Bar3
Sheet1
Sheet2
Sheet3
15
(a) (b)
(c)
Figure 2. 5 (a) Typical mesh used for the finite element analysis of the reinforced specimen. (b)
Enlarged view of mesh in primary and reinforcing adhesive layer. (c) Enlarged view of mesh at
crack tip where collapsed quarter point singular elements were used.
16
Table 2. 2 Strain energy release rate and phase angle calculated using finite element model for
laminate adherend and equivalent stiffness adherend specimens. A 600 N load applied to both
adherends for ADCB specimen with crack length of 60 mm.
Specimen Calculated
G (J/m2)
Phase angle
Ψ(°)
Laminate adherend 158 13.0
Equivalent stiffness adherend 158 13.3
Table 2. 3 G and Ψ obtained from finite element model by changing E of reinforcing adhesive.
A 500 N load was applied to both adherends of the ADCB specimen with crack length of 60 mm.
Sheet thickness was 2 mm and other properties as per Table 2.1.
Reinforcing adhesive
E (GPa) G (J/m
2) Ψ (°)
0.5 143.6 13.2
1.0 138.7 13.1
1.96 135.7 13.1
4.0 133.6 13.1
Table 2. 4 G and Ψ obtained from finite element model for different sheet thicknesses. A 500 N
load was applied to both adherends of the ADCB specimen with crack length of 60 mm.
Sheet thickness (mm) G (J/m2) Ψ (°)
0.5 136.8 13.0
1.0 136.1 13.0
2.0 135.7 13.1
4.0 136.8 13.5
17
2.3.2 Effect of phase angle and sheet rolling-line orientation
The laminated ADCB and CLS specimens (Fig. 2.1) prepared with the coil-coated
AA5754-O were bonded with the rolling lines oriented both along the length of the specimen
(longitudinal) and across the specimen (transverse). Figures 2.6 and 2.7 show Gth and the crack
growth rates of both specimens tested in the RD environment. For the sake of clarity, Fig. 2.7
shows only one test for each case. The Gth measured with the ADCB specimen was independent
of the rolling line orientation (t-test, 95% confidence level). The crack paths in these specimens
were cohesive, but close to the interface of the adhesive and coil-coated sheet (Figs. 2.8(a) and
2.8(b)). This visual observation was confirmed using x-ray photoelectron spectroscopy (XPS)
over a 400×400 µm scan area. Table 2.5 shows that the composition of the failure surface on the
pretreated sheet near the threshold was similar to that of the bulk adhesive and quite distinct from
that of the bare pretreated sheet.
Figures 2.8(a) and 2.8(b) also illustrate that the thickness of the remaining adhesive on
the surface of the sheet increased consistently as the applied G and the crack speed increased
(moving to the right from the threshold in Fig. 2.8). This tendency of the fatigue crack to
propagate closer to the midplane with increasing G was also reported by Azari et al. [13]. It is
hypothesized that as the applied G increases, the size of the damage zone ahead of the crack tip
also increases, causing the crack path to deflect away from the interface.
In contrast to the ADCB results, Fig. 2.6 shows that the CLS specimens with transverse
rolling lines had a significantly higher Gth than those with longitudinal rolling lines (t-test at 95%
confidence level). It is hypothesized that this was due to the higher phase angle of CLS
specimens which drove the crack closer to the interface. This change in Gth was consistent with
the failure surfaces which were cohesive for the transverse rolling line CLS specimens (higher
Gth) and interfacial for the longitudinal rolling line CLS specimens (lower Gth) (Figs. 2.8(c) and
2.8(d)). This change in the crack path as a function of the rolling line direction was reflected in
surface roughness measurements shown in Table 2.6, obtained using an optical profilometer on
the sheet side of the failure surface in the threshold region, both along and across the length of
the specimen. Each measurement was taken for a scan length of 5 mm. In the CLS specimen
with longitudinal rolling lines, the Ra values were close to the bare sheet values, indicating that
the failure was interfacial. However, in the CLS specimens with transverse rolling lines, Ra was
18
similar along and across the lines, and was different from the surface roughness of the bare sheet,
indicating that the crack path was cohesive.
Therefore, it was concluded that the fatigue behavior was sensitive to the surface
roughness introduced by the rolling lines only at higher phase angles (CLS specimens), where
the crack tends to grow closer to the sheet. This may be similar to the dependence of fatigue
behavior on adherend surface roughness observed with tubular single lap joints loaded with a
high degree of mode II, which would also drive the crack to the interface [10, 11].
Figure 2.6 shows that for both the longitudinal and transverse rolling line specimens, Gth
increased with phase angle, which is consistent with the general trend observed in the literature,
for toughened epoxy adhesives [12, 13]. This trend of increasing toughness with increasing
phase angle was also observed in fracture tests [5]. Gth increased only marginally with phase
angle for the longitudinal rolling line specimens, whereas the increase was greater for the
transverse rolling line specimens. It appears as if the increase in Gth with increasing phase angle
observed with the longitudinal rolling line specimens was relatively small because of the change
in failure locus from cohesive in the ADCB specimens to interfacial in the CLS specimens. The
larger increase in Gth observed in transverse rolling line specimens was simply due to the failure
locus remaining cohesive in both ADCB and CLS specimens.
Figure 2.7 shows that the crack growth rates at a phase angle of 13° (ADCB) were
essentially the same for specimens with longitudinal lines (average slope m=2.75±0.04 standard
deviation, based on 3 specimens) or transverse rolling lines (m=2.60±0.10), where crack path
moved closer to midplane of adhesive layer at higher crack growth rates (Fig. 2.8(a) and 2.8(b)).
However, at a phase angle of 50° (CLS), where the crack path remained closer to interface at all
crack growth rates (Fig. 2.8(c) and 2.8(d)), the crack growth rates were significantly lower for
the transverse (m=2.04±0.19) than for the longitudinal rolling line specimens (m=2.92±0.19) (t-
test, 95% confidence interval). This was expected given the similar trend seen with Gth.
Overall, the crack speed decreased as the phase angle increased from 13° (ADCB) to 50°
(CLS) for both orientations of rolling lines. This is consistent with the increased Gth seen with
increasing phase angle. It is also consistent with the increase in critical strain energy release rate
of fracture with increasing phase angle that is typical of epoxy adhesives [4, 5]. This trend of
decreasing crack speed with phase angle agrees with previous studies with rubber toughened
19
epoxies [12, 14], but is opposite to that reported with adhesives like modified methacrylate ester
and mineral filled epoxies [15, 16].
Figure 2. 6 Gth values in RD environment for laminated ADCB (phase angle 13) and CLS
(phase angle 50) specimens. Sheet rolling lines either parallel to crack growth direction
(longitudinal) or perpendicular to it (transverse). Three repeats were done in each case with the
threshold values shown above the columns.
Table 2. 5 Elemental composition (atomic %) of failure surface compared with bare pretreated
sheet and bulk adhesive using XPS analysis.
Pretreated sheet Adhesive Failure surface
C 29 68 72
O 43 23 23
Si 19 5.2 1.2
Ca 0.04 0.44 0.13
128 135158
277
142 150
185
284
166 169199
286
0
40
80
120
160
200
240
280
320
ADCB-L ADCB-T CLS-L CLS-T
Longitudinal Transverse
Gth
, J/m
2
20
Table 2. 6 Average surface roughness, Ra, measured on the sheet side of the fracture surface
along and across the length of the specimen. Average and standard deviation of readings from 3
different locations in the threshold region.
Along rolling lines (µm) Across rolling lines (µm)
Bare sheet 0.21±0.07 0.39±0.02
CLS-Longitudinal fracture surface 0.22±0.03 0.34±0.01
CLS-Transverse fracture surface 0.36±0.05 0.40±0.05
Figure 2. 7 Comparison of crack growth rates for laminated ADCB and CLS specimens having
different orientations of the rolling lines on the sheet. Each data series represents a single
specimen from the 3 that were tested. Arrows indicate thresholds and maximum G reached
during the tests.
-7
-6
-5
-4
-3
2 2.25 2.5 2.75 3
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
ADCB-L
ADCB-T
CLS-L
CLS-T185 135
142 286 J/m2
800 J/m2
21
(a)
(b)
(c)
22
(d)
(e)
Figure 2. 8 Failure surfaces of specimens in threshold region: (a) laminated ADCB-longitudinal
rolling lines, (b) laminated ADCB-transverse rolling lines, (c) laminated CLS-longitudinal
rolling lines, (d) laminated CLS-transverse rolling lines, and (e) laminated ADCB tested in hot-
wet environment with longitudinal rolling lines. In each figure, A is the laminated adherend, B is
the second adherend. Load shedding occurred in region I to decrease the crack speed, while
crack growth was accelerating away from the threshold in region II.
23
2.3.3 Effect of test environment
Figures 2.9 and 2.10 show Gth and crack growth rates for the coil-coated AA5754-O sheet
in laminated ADCB specimens tested in the RD and the hot-wet (40°C and 100% RH) test
environments, respectively. Gth decreased significantly in the hot-wet environment compared to
the RD environment (RD: 145 J/m2, hot-wet: 57 J/m
2; t-test, 95% confidence), and the crack path
became completely interfacial in the threshold region of the hot-wet test (Fig. 2.8(e)), whereas it
was cohesive in the dry test (Fig. 2.8(a)). This is similar to the observations in [17-20] made at
high humidity or water immersion environments. The darker area in the threshold region of Fig.
2.8(e) was likely the result of aluminum oxidation.
It was also observed in the hot-wet tests that after reaching the threshold there was a
distinctive lag in the resumption of crack growth as G was progressively increased; i.e. crack
growth did not begin again until Gmax was well above Gth. Crack growth resumed when Gmax
reached approximately 150 J/m2 compared to an average Gth of 58 J/m
2. This effect was not seen
in the dry environment. There are several possible explanations for this local increase in the
Gmax required for the resumption of crack growth: 1. Water diffusion into the adhesive ahead of
the threshold crack tip might have increased its toughness [21, 22]. 2. Absorbed water would
also decrease the modulus of the adhesive near the crack tip and promote crack tip blunting [21,
22]. 3. The aluminum oxide deposits behind the crack tip may have prevented complete crack
closure, thereby decreasing the effective stress intensity range during a loading cycle and
retarding crack growth [23]. Once crack growth resumed from the threshold, crack growth rates
in the HW environment were initially higher than those tested in the RD environment (Fig. 2.10),
showing the influence of moisture on fatigue behavior [17-20]. However, at higher crack growth
rates both environments produced a similar fatigue behavior; this effect was also observed in
[17]. This may be an indication that moisture diffusion was slower than these rates of crack
propagation and hence could not degrade the adhesive bond ahead of the crack tip.
24
Figure 2. 9 Gth in different test environments for laminated ADCB specimens.
Figure 2. 10 Comparison of fatigue crack growth when tested in room temperature dry (RD) and
hot-wet environments. The bottom arrow indicates the threshold of a sample specimen and the
top arrow indicates the final Gmax reached.
128
37
142
56
166
78
0
50
100
150
200
Room temp. & dry air Hot-wet
Gth
, J/m
2
-7
-6
-5
-4
-3
-2
2 2.25 2.5 2.75 3
Lo
g(d
a/d
N),
mm
/cycle
Log (Gmax), J/m2
RD1
RD2
RD3
HW1
HW2
HW3
142 J/m2
995 J/m2
25
2.4 Conclusions
A reinforced sheet specimen was used to study the fatigue behavior of thin sheet
adherends without yielding. It was concluded that the additional compliance of the reinforcing
adhesive layer had an insignificant effect on the stress state at the crack tip, and thus the strain
energy release rate and phase angle of loading. Therefore, the laminated sheet specimen can be
used to measure fatigue behavior that is characteristic of the adhesive-sheet system, being
unaffected by the reinforcement. This is useful in the fatigue testing of metal sheets that have
been coil coated with pretreatments that cannot be applied reliably on thicker material.
Fatigue experiments were conducted with ADCB (phase angle 13) and CLS (phase
angle 50) specimens made with reinforced aluminum sheet that had been pretreated using a
commercial coil-coating process. It was found that the fatigue threshold was sensitive to the
orientation of the rolling lines on the sheet at higher phase angles, being increased significantly
when the rolling lines were perpendicular to the direction of crack growth on the CLS specimens
(transverse to the specimen length). The fatigue crack growth rates were very similar for all
specimens except the CLS specimens having the transverse rolling lines, where they were lower.
These observations were related to the increasing proximity of the crack path to the sheet
interface as the phase angle increased.
Fatigue testing of the coil-coated sheet in a hot-wet environment significantly reduced the
threshold compared to testing in room temperature dry air. The crack path in the hot-wet
environment became fully interfacial, whereas it was cohesive in the dry case.
26
Appendix 2A Adhesive stresses for unequal adherends [7]
Using the virtual crack closure technique [25], GI and GII were calculated from
(A.1)
(A.2)
where Ea and Ga are the elastic and shear modulus of the adhesive, respectively, and 2t is the
bondline thickness. The normal and shear stresses, σ and τ, in the adhesive layer are governed
by the linear differential equations
(A.3)
(A.4)
where D1 and D2 are the flexural rigidity of adherends 1 and 2, respectively, and x is the distance
from crack tip. K1, K2 and K3 are defined by
(A.5)
(A.6)
(A.7)
27
The general solutions to Eqs. (A.3) and (A.4) contain 7 and 6 constants, but if the bonded
overlap is long, adhesive stress are bounded for large x, and the stresses can be approximated as
(A.8)
(A.9)
The coefficients A1-A3 are expressed in terms of the loads acting at using boundary
conditions (A.10)-(A.12) at .
(A.10)
(A.11)
(A.12)
where F, M and V are axial force, moment and shear force acting on the centre of each adherend
cross-section, and subscripts 1 and 2 represent upper and lower adherends respectively as shown
in Fig. 2.11. For ADCB specimens the reaction loads acting at crack tip are straight forward to
calculate, however for CLS specimens they are calculated using beam theory [14]. The system
of equations determining the Ai’s can be written in the matrix form , where
(A.13)
(A.14)
(A.15)
28
(A.16)
(A.17)
(A.18)
(A.19)
(A.20)
(A.21)
(A.22)
(A.23)
(A.24)
with the solution
(A.25)
29
(A.26)
(A.27)
The coefficients B1-B3 are calculating using the coefficients A1-A3 (Eqs. (A.25)-(A.27)) in
the relation:
(A.28)
which gives
(A.29)
(A.30)
(A.31)
Figure 2. 11 Beam-on-elastic-foundation model.
30
Appendix 2B Comparison of G calculated using FE and analytical
model
To gain confidence in the beam-on-elastic-foundation model used in this paper for the
calculation of G (Appendix A), a comparison was made with a finite element (FE) model. The
FE model used in Section 2.3.1 was used for this study. Figures 2.12 and 2.13 show the G
calculated using both models as a function of crack length for ADCB and CLS specimens. The
maximum difference was 3% and 6% for ADCB and CLS specimens, respectively. This
difference is acceptable, give that the typical scatter in experimental data was close to 10%.
Figure 2. 12 G calculated using FE model and analytical model for an ADCB specimen at
different crack lengths. A 600 N load was applied to both adherends of the ADCB specimen as
shown in Fig. 2.1(a).
0
100
200
300
400
500
600
0 20 40 60 80 100 120 140
G (
J/m
2)
Crack length, a (mm)
FE model
Analytical model
31
Figure 2. 13 G calculated using FE model and analytical model for a CLS specimen at different
crack lengths. A 9,450 N axial load was applied to both loading pins as shown in Fig. 2.1(b).
0
100
200
300
400
0 20 40 60 80 100
G(J
/m2)
Crack length, a (mm)
FE model
Analytical model
32
2.5 References
1. J.K. Jethwa, A.J. Kinloch, G. Wallington, A new test method for determining the
adhesive fracture energy when bonding thin or coated substrates, J. Mat. Sci. Lett., 14(3)
(1995) 155-157.
2. J.W. Hutchinson, Z. Suo, Mixed-mode cracking in layered materials, Adv. Appl. Mech.,
29 (1992) 63-191.
3. ASTM, Standard guide for preparation of metal surfaces for adhesive bonding, D2651
(2001).
4. G. Fernlund, J.K. Spelt, Failure load prediction: I. Analytical method, Int. J. Adhes.
Adhes., 11(4) (1991) 213-220.
5. S. Azari, M. Eskandarian, M. Papini, J.A. Schroeder, D.L. Faulkner, J.K. Spelt, Fracture
load predictions and measurements for toughened-epoxy adhesive joints, Eng. Frac.
Mech., 76(13) (2009) 2039-2055.
6. ASTM, Standard test method for measurement of fatigue crack growth rates, E647
(2000).
7. G. Fernlund, Analysis and fracture load predictions of structural adhesive joints, PhD
Thesis, University of Toronto, Toronto, Canada (1994).
8. Y. Wyser, C. Pelletier, J. Lange, Predicting and determining bending stiffness of thin
films and laminates, Package Tech. Sci., 14(3) (2001) 97-108.
9. D.M. Parks, A stiffness derivative finite element technique for determination of crack tip
stress intensity factors, Int. J. Fract., 10(4) (1974) 487-502.
10. K.J. Wook, L.D. Gil, Effects of surface roughness and bond thickness on the fatigue life
of adhesively bonded tubular single lap joints, J. Adhes. Sci. Tech., 14(8) (2000) 1085-
1102.
11. K.K. Soo, K.W. Tae, L.D. Gil, J.E. Jin, Optimal tubular adhesive-bonded lap joint of the
carbon fiber epoxy composite shaft, Compos. Struct., 21(3) (1992) 163-176.
12. K. Okubo; H. Yoshimitsu, T. Fujii, Static and fatigue crack propagation of toughened
epoxy adhesives under mixed mode loading, Trans. Jpn. Soc. Mech. Eng. A, 67(661)
(2001) 1514-1519.
13. S. Azari, M. Papini, J.A. Schroeder, J.K. Spelt, The effect of mode ratio and bond
interface on the fatigue behavior of a highly-toughened epoxy, Eng. Fract. Mech. (2009),
doi: 10.1016/j.engfracmech.2009.09.011.
14. X.X. Xu, A.D. Crocombe, P.A. Smith, Mixed-mode fatigue and fracture behaviour of
joints bonded with either filled or filled and toughened adhesive, Int. J. of Fatig., 17(4)
(1995) 279-286.
15. A. Pirondi, G. Nicoletto, Mixed mode I/II fatigue crack growth in adhesive joints, Eng.
Fract. Mech., 73(16) (2006) 2557-2568.
33
16. M. Dessureault, J.K. Spelt, Observations of fatigue crack initiation and propagation in an
epoxy adhesive, Int. J. Aadhes. Adhes., 17(3) (1997) 183-199.
17. A.J. Kinloch, M.S.J. Little, J.F. Watts, The role of the interphase in the environmental
failure of adhesive joints, Acta. Mater., 48 (2000) 4543-4553.
18. J. Zhang, Fatigue crack propagation behavior of underfill materials in microelectronic
packaging. Mater. Sci. Eng. A, 314 (2001) 194-200.
19. M.L. Abel, A.N.N. Adams, A.J. Kinloch, S.J. Shaw, J.F. Watts, The effects of surface
pretreatment on the cyclic-fatigue characteristics of bonded aluminium-alloy joints, Int. J.
Adhes. Adhes., 26 (2006) 50-61.
20. K.A. Lubke, L.M. Butkus, W.S. Johnson, Effect of environment on fracture toughness
and debond growth of aluminum/FM®73/boron-epoxy adhesively bonded joints, J.
Comp. Tech. Res., 23(1) (2001) 42-49.
21. J.W. Wylde, J.K. Spelt, Measurement of adhesive fracture properties as. environmental
degradation, Int. J. Adhes. Adhes., 18(4) (1998) 237-246.
22. A.K. Moidu, A.N. Sinclair, J.K. Spelt, Adhesive joint durability assessed using open-
faced peel system, J. Adhes., 65 (1998) 239-257.
23. S. Suresh, G.F. Zamiski, R.O. Ritchie, Oxide-induced crack closure: An explanation for
near-threshold corrosion fatigue crack growth behavior, Metall. Mater. Trans. A, 12(8)
(1981) 1435-1443.
24. E.F. Rybicki, M.F. Kanninen, A finite element calculation of stress intensity factors by a
modified crack closure integral, Eng. Fract. Mech., 9 (1977) 931-938.
34
Chapter 3 Hygrothermal properties of highly toughened epoxy adhesives
3.1 Introduction
It is widely known that the water ingress plays a significant role in the progressive
degradation of the mechanical properties and hence the durability of epoxy adhesives. Many of
the diffusion models that have been proposed to explain hygrothermal effects in epoxies fall into
two categories. One is defined by the assumption that water diffuses into the epoxy and resides
in the free volume of the material. The other assumes that absorbed water molecules couple
strongly with certain hydrophilic functional groups such as hydroxyls in the epoxy resin.
However, some researchers have shown that both physical and chemical mechanisms may occur
simultaneously [1-4].
The simplest diffusion model is Fick’s law, which assumes that there are no interactions
between the absorbed water molecules and the polymer chains. Simple Fickian behavior is
observed in epoxies well above the glass transition temperature, Tg [5]. In many cases, however,
the simple Fickian model does not represent the absorption process and tends to overestimate
water concentration [1-3, 6-9]. Such cases are called non-Fickian or anomalous.
One class of diffusion models proposed for the anomalous behaviour of water diffusion
into epoxy adhesives is based on modifications to Fick’s law. For example, the dual Fickian
diffusion model assumes that the diffusion is Fickian, but occurs through two different
mechanisms acting in parallel with different diffusion properties [8-10]. The dual Fickian model
is hence the superposition of two single Fickian models. Fick’s law has also been generalized by
introducing time-varying diffusion coefficients [1,7] or time-varying boundary conditions [1,2].
In these models, the diffusion coefficient or boundary condition is assumed to take the form of a
Prony series which requires finding multiple coefficients and corresponding retardation times.
These models introduce many degrees of freedom to the problem and the solution can be
cumbersome and time-consuming.
Another class of anomalous diffusion models is based on a combination of physical
diffusion and chemical interactions. Several studies, partially reviewed in [11], have been made
to clarify the formation and existence of two different states of water molecules in epoxy, termed
35
free and bound. Carter and Kibler [12] suggested a Langmuir-type two-phase diffusion model
which assumes the existence of diffusing molecules in free and bound states. The Langmuir
model has been used with some success at times [1,6,12].
Unlike absorption, water desorption behavior is normally Fickian [8]. The absorbed
water in an epoxy cannot be completely removed in some cases and the existence of retained
water after drying at temperatures below Tg has been reported in the literature [13-16]. For
example, Moy and Karasz [16] investigated epoxy–water interaction by differential scanning
calorimetry (DSC), infrared spectroscopy (IR), nuclear magnetic resonance spectroscopy
(NMR), and water absorption/desorption gravimetric experiments using a tetraglycidyl 4 4
diaminodiphenyl methane/diaminodiphenylsulphone (TGDDM/DDS) resin system. They
observed a strong hysteresis related to the desorption process indicating retained amounts of
water that could only be removed by heating the epoxy to temperatures above 100°C. Zhou and
Lucas [14] showed that retained water after low-temperature desorption was related to the
amount of water molecules forming stronger bonds (i.e. multiple hydrogen bonds) with the
epoxy network.
The absorption and desorption of water in two different rubber-toughened epoxy
adhesives is measured gravimetrically over a relatively wide range of temperature and RH. The
data are fitted to a new diffusion model in which Fick’s law was assumed to act in two sequential
stages, each with its own diffusion coefficient and saturated water concentration. This
“sequential dual Fickian” (SDF) model and a Langmuir-type diffusion model are both able to
model the absorption behaviour. The dependence of the five SDF model parameters on
temperature and RH is investigated in detail. The two adhesives were selected to establish the
generality of the SDF model and because they demonstrated different fracture durability
behavior in a separate test program.
3.2 Mathematics of diffusion models
In this study, a newly developed type of dual Fickian model and a Langmuir-type model
were used to characterize the anomalous behaviour of water absorption in two rubber-toughened
epoxy adhesives, while a simple Fickian model was employed for the desorption modeling.
Based on the size and shape of the wafer samples and the experimental setup, the diffusion was
considered as one dimensional. The initial condition of absorption for both models was assumed
36
to be zero water concentration and the constant saturation concentration value was taken as the
boundary condition.
3.2.1. Dual Fickian model
In simple Fickian diffusion, it is assumed that the moisture flux is directly proportional to
the concentration gradient in a material. The one-dimensional differential equation of Fickian
diffusion, the boundary conditions and the initial condition for absorption to a plane sheet of
thickness 2h are given as follows:
0)0,(
),(
),(),(2
2
txC
CthxC
x
txCD
t
txC
(1)
where C(x,t) is the water concentration (% by mass) at any spatial coordinate x (m) and time
interval t (s), C∞ (%) is the saturated moisture concentration and D (m2/s) is the diffusion
coefficient. The solution to the partial differential equation in Eq. (1) is given by:
h
xn
h
tnD
nC
txC
n
n
2
)12(cos
4
)12(exp
12
)1(41
),(2
22
0
(2).
The fractional mass uptake, Mt (i.e. the total mass uptake of water at time t expressed as a
percentage of the initial mass of the sample) can be obtained by integrating Eq. (2) over the
spatial variable x:
2
22
022 4
)12(exp
)12(
181
h
tnD
nM
M
n
t
(3)
37
where M∞ is the saturated fractional mass uptake, i.e. the mass uptake at saturation expressed as a
percentage of the initial mass of the sample.
In the dual Fickian models present in the literature [8,9,17], two diffusion mechanisms
are considered to be working in parallel such that the fractional mass uptake increases
continuously until it reaches M∞. These models are called “parallel dual Fickian” (PDF). The
Langmuir-type model and the gravimetric results in this study however indicated that there was a
pseudo-equilibrium state at intermediate exposure times before reaching the final saturation
(Section 3.4). This has been modeled in the present work by assuming that the pseudo-
equilibrium corresponds to the completion of the first uptake mechanism and the start of the
second one. Based on this assumption, a new “sequential dual Fickian” (SDF) model was
developed in which the moisture concentration at any t and x is determined by:
22
222
0
12
221
0
2
)12(cos
4
)()12(exp
12
)1(41)(
2
)12(cos
4
)12(exp
12
)1(41),(
Ch
xn
h
ttnD
ntt
Ch
xn
h
tnD
ntxC
d
n
n
d
n
n
(4)
where C1∞ and C2∞ are the saturated concentrations of the first and second diffusion mechanisms
such that C1∞+C2∞=C∞, where C∞ is the total saturation concentration. D1 and D2 are the
diffusion coefficients of the first and second moisture uptake mechanisms, respectively. td is the
time at which the transition from the first diffusion mechanism to the second one occurs, and
φ(t) is the Heaviside step function defined as:
d
dd
tt
tttt
,1
,0)(
(5)
The Heaviside step function in the second part of the right hand side of Eq. (4) ensures
that the moisture concentration corresponding to the second mechanism is zero as long as the
exposure time is less than td. By integrating Eq. (4) over the spatial variable, the fractional mass
uptake, Mt for the SDF model at any time t is given by:
38
22
222
022
12
221
022
4
)()12(exp
)12(
181)(
4
)12(exp
)12(
181
Mh
ttnD
ntt
Mh
tnD
nM
d
n
d
n
t
(6)
where M1∞ and M2∞ correspond to the first and second uptakes, respectively and M1∞+M2∞=M∞
(Fig. 3.1). The fractional mass uptake at any time t, Mt was determined experimentally using
gravimetric measurements and its value is given by:
%100
i
itt
W
WWM
(7)
where Wi and Wt are the sample weights before any exposure and after an exposure time of t,
respectively. Thus the model has 5 parameters: D1, D2, C1∞, C2∞ and td. The present data were
used to identify the dependence of these parameters on temperature, T, and relative humidity,
RH, in order to make the model predictive for a range of environmental conditions.
Figure 3. 1 Schematic illustration of the sequential dual Fickian (SDF) model.
39
3.2.2 Langmuir model
Carter and Kibler proposed a Langmuir-type adsorption theory to model the anomalous
behaviour of moisture diffusion in polymers [12]. This model assumes the existence of diffusing
molecules in mobile and bound states, each with probabilities of interchanging their states.
Based on this model, for the one-dimensional case, the molecular number densities at exposure
time t and spatial coordinate x satisfy the coupled pair of equations:
t
n
t
n
x
nD bmm
L
2
2
(8)
bmb nnt
n
(9)
where DL is the diffusion coefficient, nm and nb represent the number of mobile and
bound water molecules per unit volume. γ and β are the probabilities per unit time (s-1
) that
mobile and bound molecules will change their respective states. Solving these equations with
the equivalent initial and boundary conditions as for the SDF model gives the number of
molecules at time t and position x. The total number of water molecules per unit volume in an
adhesive at time t, Nt is approximated by [6]:
for short exposure times: tN
Nt
2/3
4
(10)
for long exposure times: tt eN
N
1
(11)
where N∞ is the total number of water molecules per unit volume at saturation and κ is
defined as:
2
2
4h
DL
(12).
40
The total number of water molecules per unit volume at the pseudo-equilibrium state, Npe
may be obtained as [6]:
N
N pe
(13).
3.2.3 Fickian model in desorption
The desorption process was modeled using Fick’s law as:
CtxC
CthxC
x
txCD
t
txC
r
d
)0,(
),(
),(),(2
2
(14)
where Dd and Cr are the diffusion coefficient of the desorption process and the minimum
retained water concentration, respectively. The solution of this differential equation set for time t
and spatial coordinate x is:
h
xn
h
tnD
nCC
CtxC d
n
n
r
r
2
)12(cos
4
)12(exp
12
)1(4),(
2
22
0
(15).
The fractional retained mass of water in the adhesive sample in percentage at time t, ltM
can be obtained by integrating Eq. (15) over the spatial variable:
2
22
022 4
)12(exp
)12(
18
h
tnD
nMM
MM d
nr
rlt
(16)
where Mr is the minimum fractional retained water.
41
3.3 Experimental procedure
Two different proprietary, commercial DGEBA-based heat-cured rubber-toughened
structural epoxy adhesives were studied (Table 3.1). The recommended curing profiles were at
least 30 min at 180° C, monitored using a thermocouple embedded in the adhesive layer.
Adhesive wafers were cast between two aluminum plates coated with a
polytetrafluroethylene release agent. The wafer thickness of 0.8 mm was controlled using
spacing wires. After curing, the adhesive wafers were cut to approximately 40 x 40 mm ensuring
that the diffusion process was essentially one-dimensional in the thickness direction (the edge
surface area was less than 4% of the total). A sharp knife was used to prevent edge cracking.
XPS indicated some traces of release agent (fluorine) on the wafer surfaces; however, the
gravimetric results did not change when this was sanded off.
To remove any absorbed moisture, the wafers were kept in a vacuum oven containing
anhydrous calcium sulphate at 40°C for approximately 7 days. Mass uptake measurements were
made under different combinations of temperature and RH as given in Table 3.2 along with the
saturated salt solutions used to generate the atmospheres [18,19]. Table 3.2 also gives the
amount of water present per unit volume of atmosphere at each exposure condition [20]. Airtight
plastic containers were used as conditioning chambers within temperature-controlled ovens, and
the wafers were placed on a grating with point contacts. Absorption and desorption
measurements were repeated on three wafers at each exposure condition. Desorption was carried
out in a vacuum oven containing anhydrous calcium sulphate at 40°C for up to three months.
Some of the samples were analysed in fresh, saturated, and dried states using XPS to investigate
changes in the composition due to water ingress.
42
Table 3. 1 Mechanical and physical properties of adhesives 1 and 2 at room temperature as
supplied by the manufacturers.
Adhesive
Elastic
modulus,
E, MPa
Poisson's
ratio, ν
Tensile
strength,
σy, MPa
Glass
transition
Temp, Tg, °C
Cured
density
g/cm3
Adhesive 1 1.96 0.45 44.8 125 1.50
Adhesive 2 1.73 0.39 N/A 122 1.14
Table 3. 2 Different exposure conditions for adhesives 1 and 2 and saturated salt solutions used
to achieve different levels of RH.
RH
(%)
Salt
solution
Temperature (°C)
20 40 50 60
H2O
content
(g/m3)
Adh.
studied
H2O
content
(g/m3)
Adh.
studied
H2O
content
(g/m3)
Adh.
studied
H2O
content
(g/m3)
Adh.
studied
31 MgCl2 5.5 N/A 16.2 1 26.2 N/A 41.0 N/A
43 K2CO3 7.4 1 21.7 1 35.2 N/A 55.1 1
75 NaCl 12.9 N/A 37.9 1 61.4 N/A 96.1 N/A
82 KCl 14.1 1 41.5 1 & 2 67.1 1 105.1 1 & 2
95 K2SO4 16.3 1 & 2 48.0 1 & 2 77.8 1 121.7 1 & 2
3.4 Results and discussion
3.4.1 Moisture absorption
Both the new sequential dual Fickian (SDF) and the Langmuir models were used to
characterize moisture diffusion into adhesives 1 and 2. It was assumed that the diffusion
coefficients D1 and D2 in the SDF model and DL for the Langmuir model were independent of
time. D1 was determined by assuming a linear relationship between normalized mass uptake,
Mt/M1∞ and t1/2
during the initial stages of absorption. This linear relationship was approximated
by [21]:
43
2/1
1
1
2
tD
hM
M t
(17).
It was assumed that the samples were fully saturated during the absorption period and the
total saturated fractional mass uptake, M∞ (=M1∞+M2∞) was determined from the gravimetric
data. The other three parameters of SDF model (M1∞, td and D2) were determined by curve
fitting. A nonlinear, least-squares optimization approach was developed using MATLAB
programming to find the best fit of Eq. (6) to the experimental data points. In the Langmuir
model, the diffusion coefficient, DL was assumed to be equivalent to D1 in the SDF model. The
probabilities β and γ were found by a least-square fitting of the analytical model to the
experimental data points. Following the formulation and procedure given in [8,9], the parallel
dual Fickian (PDF) model was also fitted to the experimental results using a least-squares
optimization approach in MATLAB to compare with the SDF and Langmuir models.
3.4.1.1 Fractional mass uptake profiles of adhesive 1
Figures 3.2-3.4 show the measured fractional mass uptake, Mt and the fitted SDF,
Langmuir and PDF models versus the square root of time (t1/2
) for adhesive system 1 at different
RH values for three temperatures. After the initial linear Fickian diffusion and the onset of a
plateau, a second mass increase was observed in most of the exposure conditions. The single-
stage Fickian model thus overestimated the experimental results, especially at high temperatures
and RH, and at intermediate times.
Tables 3.3 and 3.4 list the parameters of the SDF and Langmuir models, respectively, for
adhesive 1 under the different exposure conditions. At the lower temperatures and RH (40°C-
43%RH, 40°C-31%RH, 20°C-43%RH), the second diffusion mechanism disappeared and the
fractional mass uptake profiles followed a simple Fickian diffusion behaviour (D2=0, td=∞,
M2∞=0). In these cases, the pseudo-equilibrium and final equilibrium states of the Langmuir
model become coincident and there is no unique solution because any β with γ=0 satisfies the
model. Therefore, the Langmuir model was not used in these cases.
44
0
1
2
3
4
0 500 1000 1500 2000 2500 3000
Mt (%
)
t1/2(s1/2)
T=20°C
95%RH
82%RH
43%RH
SDF
Langmuir
Figure 3. 2 Measured fractional mass uptake versus square root of time and the least-squares fits
based on the SDF, Langmuir and PDF models at three RH levels for adhesive 1 at 20°C. Each
data point is an average of three repetitions.
45
0
1
2
3
4
5
0 500 1000 1500 2000 2500 3000
Mt(%
)
t1/2 (s1/2)
T= 40°C
95%RH
82%RH
75%RH
43%RH
31%RH
SDF
Langmuir
Figure 3. 3 Measured fractional mass uptake versus square root of time and the least-squares fits
based on the SDF, Langmuir and PDF models at five RH levels for adhesive 1 at 40°C. Each
data point is an average of three repetitions.
46
0
1
2
3
4
5
6
7
0 500 1000 1500 2000 2500 3000
Mt(%
)
t1/2 (s1/2)
T=60°C
95%RH
82%RH
43%RH
SDF
Langmuir
Figure 3. 4 Measured fractional mass uptake versus square root of time and the least-squares fits
based on the SDF, Langmuir and PDF models at three RH levels for adhesive 1 at 60°C. Each
data point is an average of three repetitions.
47
Table 3. 3 SDF model parameters obtained by curve fitting the experimental gravimetric results
at different combinations of temperature and RH for adhesive 1. M1∞ values obtained from PDF
model are also given. Each data point is given as an average of three values obtained from the
repetitions. SD shows the standard deviation.
T
(°C)
RH
(%)
D1=DL±SD
(10-14
m2/s)
D2±SD
(10-14
m2/s)
M1∞±SD
(%)
(SDF)
M∞=N∞±SD
(%)
td1/2
(s1/2
)
M1∞
(%)
(PDF)
20
95 36±6 3.9±0.6 3.31±0.05 3.94±0.06 845 2.72
82 33±5 3.5±0.5 2.77±0.02 2.96±0.02 941 2.25
43 45±6 0.0 1.78±0.04 1.78±0.04 ∞ 1.78
40
95 134±17 3.8±0.7 3.36±0.09 4.78±0.15 536 2.80
82 142±6 3.3±0.4 2.71±0.04 3.55±0.06 524 2.34
75 159±25 3.6±0.6 2.21±0.05 2.79±0.06 521 1.97
43 113±11 0.0 1.65±0.04 1.65±0.04 ∞ 1.65
31 139±19 0.0 1.26±0.04 1.26±0.04 ∞ 1.26
50 95 207±9 4.5±0.7 3.59±0.08 6.67±0.17 427 3.11
82 222±12 3.6±0.4 2.71±0.02 3.69±0.04 416 2.28
60
95 314±25 8.6±0.9 3.73±0.11 6.98±0.18 329 2.59
82 294±28 4.9±0.7 2.75±0.05 4.02±0.08 308 2.39
43 271±24 4.3±0.8 1.38±0.03 1.62±0.04 924 2.72
48
Table 3. 4 Langmuir model parameters obtained by curve fitting to the experimental gravimetric
results at different combinations of temperature and RH for adhesive system 1. Each data point
is given as an average of three values obtained from the repetitions. SD shows the standard
deviation.
T
(°C)
RH
(%)
β±SD
(10-7
/s)
γ±SD
(10-7
/s)
Npe
(%)
20 95 3.23±0.19 0.68±0.03 3.23±0.08
82 3.46±0.14 0.43±0.02 2.63±0.06
40
95 4.07±0.26 1.94±0.12 3.20±0.09
82 3.66±0.18 1.23±0.05 2.66±0.07
75 3.43±0.16 0.88±0.04 2.18±0.04
50 95 4.97±0.22 5.31±0.28 3.20±0.08
82 4.78±0.15 1.75±0.06 2.69±0.06
60
95 10.9±0.81 12.86±0.73 3.21±0.11
82 6.88±0.43 3.22±0.22 2.75±0.05
43 2.52±0.14 0.53±0.04 1.36±0.04
3.4.1.2 Fractional mass uptake profiles of adhesive 2
Figure 3.5 shows the experimental fractional mass uptake, Mt versus square root of time
(t1/2
) and the fitted SDF, Langmuir and PDF models at 20, 40 and 60°C and 95% RH for
adhesive 2. The corresponding parameters for both models are given in Tables 3.5 and 3.6.
The SDF model was able to characterize the anomalous diffusion behaviour of adhesives
1 and 2, showing a good agreement with the experimental results, the Langmuir model and the
PDF model. Using the Langmuir model provides a means to estimate the relative amounts of
bound and free water molecules in the adhesive. However, the probabilities β and γ have no
physical significance in the diffusion process and also must be adjusted for any new exposure
condition (Section 3.4.1.6). The SDF model divides the diffusion process into two separate
stages governed by Fick’s law, which has a physical significance. The predictions of the SDF
49
and PDF models were very similar, deviating the most at high RH and intermediate exposure
times close to td. The M1∞ values obtained from the SDF model agree well with the total number
of water molecules per unit volume in the pseudo-equilibrium state (Npe) of the Langmuir model
(average difference of 4%; see Section 3.4.1.5). This agreement adds physical significance to
M1∞ in the SDF model. The M1∞ values obtained from the PDF model were always lower than
the corresponding Npe values with an average difference of 15%. As will be discussed in Section
3.4.1.4, it is reasonable to assume that some of the water diffusion mechanisms occur after a
delay time (i.e. td), leading to the second stage of water uptake; therefore, the SDF model is
believed to represent a more realistic representation of water diffusion in the present adhesives.
Furthermore, it has been reported that in some cases the pseudo-equilibrium state (M1∞
occurring after td) for water absorption by DGEBA-based epoxies can be much longer than was
found with the present adhesives [8, 22]. Since the PDF model assumes that both of the
diffusion mechanisms start from the beginning of the absorption process, the predicted mass
uptake always increases with time and it is difficult to model such absorption behavior
accurately. To deal with this limitation, Mubashar et al. [8] used a “delayed SDF” model by
adding a power function to the SDF formulation. This delayed SDF model, however, adds three
more constants and so increases the degrees of freedom of the problem, making it more difficult
to develop the ability to predict how the model parameters vary with temperature and RH. As
with the original PDF model, there is no physical significance to the added power function. On
the other hand, by assuming two sequential water uptake stages, the SDF model provides a more
general water absorption model that relates to the physical significance of Fick’s law and the
Langmuir model.
In general, adhesive 2 appeared to be more resistant to water ingress than adhesive 1, and
all five SDF parameters (D1, D2, C1∞, C2∞, td) for adhesive 2 were always less than those for
adhesive 1 at the same exposure condition. The D1 and M∞ values of adhesive 2 were
approximately 28% and 26% lower than those of adhesive 1, respectively.
In order for the SDF and Langmuir models to be predictive beyond the ambient
conditions used in the experiments, it is necessary to identify the dependence of the model
parameters on temperature and RH. This is discussed in the following subsections. It is noted
that the present experiments did not investigate the possibility that the adhesive thickness
influences the diffusion properties as reported in [9]. However, such changes were reported to
50
be relatively small, being of the same order as the experimental scatter (e.g. Table 3.4).
Moreover, ref. [9] did not provide an explanation for the observed dependency on adhesive
thickness, and therefore the generality of this phenomenon remains unknown.
0
1
2
3
4
5
0 500 1000 1500 2000 2500
Mt(%
)
t1/2 (s1/2)
60°C
40°C
20°C
SDF
Langmuir
Figure 3. 5 Measured fractional mass uptake versus square root of time and the least-squares fits
based on the SDF, Langmuir and PDF models at 95% RH and three different temperatures for
adhesive 2. Each data point is an average of three repetitions.
51
Table 3. 5 SDF model parameters obtained by curve fitting to the experimental gravimetric
results at different combinations of temperature and RH for adhesive 2. M1∞ values obtained
from PDF model are also given. Each data point is an average of three values obtained from the
repetitions. SD shows the standard deviation.
T
(°C)
RH
(%)
D1=DL±SD
(10-14
m2/s)
D2±SD
(10-14
m2/s)
M1∞±SD
(%)
(SDF)
M∞=N∞±SD
(%)
td1/2
(s1/2
)
M1∞
(%)
(PDF)
20 95 26±4 6.8±1.2 2.31±0.04 2.99±0.06 631 1.87
40 95 87±11 4.1±0.8 2.83±0.06 3.75±0.09 386 2.41
82 104±13 9.8±1.5 2.14±0.06 2.27±0.07 497 1.78
60 95 248±29 8.1±1.5 3.16±0.09 4.78±0.12 219 2.59
82 208±24 9.6±1.3 2.38±0.03 2.8±0.04 273 1.99
Table 3. 6 Langmuir model parameters obtained by curve fitting to the experimental gravimetric
results at different combinations of temperature and RH for adhesive 2. Each data point is an
average of three values obtained from the repetitions. SD shows the standard deviation.
T
(°C)
RH
(%) β±SD
(10-7
/s)
γ±SD
(10-7
/s)
Npe±SD
(%)
20 95 10.88±0.73 5.8±0.34 2.06±0.04
40 95 10.64±0.84 4.7±0.29 2.58±0.08
82 12.5±0.87 1.1±0.06 2.08±0.07
60 95 22.3±1.38 12.9±0.69 3.10±0.10
82 24.2±1.82 0.5±0.03 2.32±0.06
3.4.1.3 The effect of temperature and RH on the diffusion coefficients
Analysis of variance showed that D1 for adhesive 1 was independent of RH at all
temperatures (95% confidence). Similarly, in the case of adhesive 2, a t-test showed that the
average values of D1 were independent of RH at all temperatures. The second diffusion
52
coefficient, D2 was always appreciably less than D1 for both adhesives (Tables 3.3 and 3.5).
Excluding the inexplicably high D2 value at the 60°C-95% RH condition for adhesive 1, and
unexpectedly low value at 40°C-95% RH condition for adhesive 2, analysis of variance revealed
that D2 could be assumed independent of temperature and RH (95% confidence) for both
adhesives. Since both points excluded were at 95% RH condition, the above conclusion appears
to be valid only at lower RH levels and not valid at relatively higher humidity level.
The Arrhenius rate equation was used to investigate the effect of temperature on D1:
RT
QDD exp01
(18)
where D0 and Q are the diffusion constant and activation energy, respectively. R is the universal
gas constant (0.00198 kcal K-1
mol-1
) and T is absolute temperature (K). Figure 3.6 shows D1
versus inverse temperature, 1/T on a logarithmic scale for both adhesives. At a given
temperature, D1 was taken as the average obtained from the different RH conditions, since it was
independent of RH as described above. Least squares regression showed that the D1 variation
with exp(1/T) was sufficiently linear in both adhesives during the first diffusion process to be
modeled using Eq. (18). The calculated activation energy of the first diffusion process was
essentially the same for adhesives 1 and 2; i.e. 10.2 and 10.6 kcal/mol, respectively.
By way of comparison, Atkins reported that the energy required for breaking the
hydrogen bonds present in liquid water (O-H…
O) ranges from 5 to 20 kcal/mol [23]. The
activation energy of the main-chain bonding of the epoxy network was reported to be 60-100
kcal/mol, and that of physical bonding (Van der Waals and/or dipole-dipole) is 0.5-2 kcal/mol
[14]. Zhou and Lucas also reported the activation energy of water diffusion in a DGEBA-based
epoxy to be 9.3 kcal/mol and attributed it to hydrogen bonding [14]. Therefore, the average
activation energy of approximately 10 kcal/mol for both adhesives falls within the range reported
for that of water diffusion in epoxy as well as the energy of hydrogen bonding given in the
literature.
Popineau et al. [6] studied the kinetics of absorbed water in epoxy and concluded that the
first diffusion mechanism corresponds to the diffusion of water molecules having strong
interactions with the epoxy, while the water molecules absorbed during the second diffusion
53
mechanism are relatively mobile. The second diffusion mechanism can then be related to a
physical phenomenon such as clustering, in which the water molecules fill the free volume of the
epoxy [9]. The water molecules within a cluster have no strong connections with the epoxy
backbone and are essentially free.
1 : y = 0.00017e-5157x
R² = 0.98
2 : y = 0.00020 e-5311x
R² = 0.99
10203040506070
1
10
100
0.0029 0.0030 0.0031 0.0032 0.0033 0.0034 0.0035
Inverse Temperature (1/ K)
D1
(10
-12m
2/
s)
Temperature (°C)
Adhesive 1
Adhesive 2
Figure 3. 6 Variation of first diffusion coefficient, D1 with temperature for adhesives 1 and 2.
At each temperature, D1 was taken as the average obtained from different RH conditions. Linear
fit to the Arrhenius equation (Eq. (18)) with the slope equal to –Q/R.
3.4.1.4 The effect of temperature and RH on the saturated fractional mass
uptakes
As seen in Fig. 3.7, M1∞ increased significantly with RH, but it remained almost
independent of temperature. This indicates that temperature affected only the rate of the first
diffusion mechanism and not its saturation concentration value.
54
Figure 3.7 also shows that M2∞ increased with both temperature and RH, although
saturation in the second stage was not reached over the durations of the present experiments at
the lowest temperature and RH exposure conditions (20°C-43%RH, 40°C-43%RH).
The dependence of M2∞ on RH and temperature can be explained in terms of the
clustering of water molecules which is hypothesized to have occurred during the second uptake.
One of the main factors that can increase the potential sites for the clustering is volumetric
swelling of the adhesive due to water absorption, which will increase with both RH and
temperature. The swelling strain is negligible during the initial stage of exposure but starts to
increase (up to 10%) from medium exposure times [9,24,25]. It is then reasonable to assume that
the volumetric expansion caused by the diffusion of water into the adhesive does not act
immediately, which supports the assumption of a transition time td. The expansion causes the
enlargement of the potential clustering sites within the adhesive and water molecules can then
diffuse to fill these new voids.
An increase in the free volume for clustering and hence M2∞, can also occur because of
thermal expansion and osmotic pressure within water clusters, both of which will depend on
temperature and RH [26]. Osmotic pressure can be created by the diffusion of soluble
components such as fillers into water clusters [27], thereby expanding the epoxy network. The
water diffusion mechanism activated by osmotic pressure can then be assumed to start after the
formation of water clusters at a later time (td) instead of the beginning of the diffusion (t=0).
The osmotic expansion and its contribution to M2∞ will be proportional to the amount of
absorbed water which is a function of temperature and RH. The absence of second stage within
the period of the experiments at the lowest temperature and RH (20°C-43%RH, 40°C-43%RH)
can be attributed to the relatively slow rate of volumetric expansion.
55
0
1
2
3
4
0 10 20 30 40 50 60
M (%
)
Temperature (°C)
M1∞/95%RH
M2∞/95%RH
M1∞/82%RH
M2∞/82%RH
M1∞/43%RH
Figure 3. 7 Variation of the first and second saturated fractional mass uptake values, M1∞ and
M2∞ with temperature at 95%, 82% and 43% RH for adhesive 1. The lines are least square fits.
Each data point is an average of three repetitions.
3.4.1.5 The effect of temperature and RH on the transition time
As seen in Table 3.3, td remained mostly unchanged with RH at different temperatures for
adhesive 1, except for the 60°C-43%RH condition in which the transition time appeared to be
unexpectedly long. It varied slightly with RH for the conditions studied with adhesive 2 (Table
3.5). Noting that the first diffusion mechanism was shown to be a chemical interaction
(hydrogen bonding) which followed the Arrhenius rate equation, it is reasonable to assume that
the time required for the first process to be completed (td) depends on the rate of the process
(D1). If it is hypothesized that td has an inverse linear relationship with D1 as:
11 KDtd (19)
where K is a constant, then substituting D1 from Eq. (18) into Eq. (19) results in
56
RT
Qtt dd exp0
(20)
where td0=KD0 is a transition time constant. To examine this hypothesis, the activation energy of
the first diffusion mechanism, Q was calculated using Eq. (20) and the measured td. Figure 3.8
shows the variation of td with inverse temperature on a logarithmic scale at 95% RH for both
adhesives. Very similar results were observed at 82% RH for adhesive 1. A very good linear
least squares fit between td and exp(1/T) suggested that Eq. (19) was a valid assumption and
using these fits, Q for adhesives 1 and 2 was found to be 9.7 and 10.2 kcal/mol, respectively.
Using the results at 82% RH, Q for adhesive 1 was calculated to be 10.1 kcal/mol. These values
compare well with those calculated for D1 using the data of Fig. 3.6, differing by only 5% and
3%, respectively.
Furthermore, the fractional mass uptake at td, M1∞, agrees well with the pseudo-
equilibrium mass uptake, Npe of the Langmuir model at any exposure condition with an average
difference of about only 4% (Fig. 3.9). Therefore, td of the SDF model corresponds to the
pseudo-equilibrium state of the Langmuir model. These results lend confidence that td as the
time of saturation for the first diffusion mechanism was properly determined.
57
y = 0.043 e4907 x
R² = 0.99
y = 0.010 e5147 x
R² = 0.99
10203040506070
1
10
100
0.0029 0.0030 0.0031 0.0032 0.0033 0.0034 0.0035
Inverse Temperature (1/ °K)
t d (
10 4
s)
Temperature (°C)
Adhesive 1
Adhesive 2
Figure 3. 8 Variation of the transition time with temperature at 95% RH for both adhesives.
Each data point is an average of three values obtained from the repetitions. The lines show least
square regressions between td and exp(1/T) and the slopes of the lines give the values of Q/R.
58
20°95%
40°95%
50°95%
60°95%
20°82%
40°82%
50°82%
60°82%
20°43%
40°43%
60°43%
0
1
2
3
4
M1∞
, Np
e(%
)
M1∞
Npe
Figure 3. 9 Comparison between the first saturated fractional mass uptake, M1∞ of the SDF
model and the pseudo-equilibrium mass uptake, Npe of the Langmuir model at different
combinations of temperature and RH. Each data point is an average of three values obtained
from the repetitions.
3.4.1.6 The effect of temperature and RH on the β and γ probabilities of
Langmuir model
Figure 3.10 shows the variation of β and γ with inverse temperature on a logarithmic
scale at 82% RH for adhesive 1. The fair linear fits indicate that both probabilities varied
approximately exponentially with T and followed the Arrhenius rate equation at a particular RH.
Similarly at 95% RH, both β and γ varied exponentially with T but with different rates. Figure
3.11 shows that β and γ also depended strongly on RH, especially at higher temperature. Hence,
although the form of the Langmuir model fits absorption data well, it does so with adjustable
parameters β and γ that are unknown functions of both temperature and RH. This limits the use
of the Langmuir model to environments where β and γ have been determined, and makes
interpolation and extrapolation to different environments uncertain.
59
R² = 0.76
R² = 0.99
10203040506070
0
1
10
0.0029 0.0030 0.0031 0.0032 0.0033 0.0034 0.0035
Inverse Temperature (1/ K)
β,γ
(10
-7s
-1)
Temperature (°C)
β
γ
Figure 3. 10 Variation of β and γ probabilities with temperature at 82% RH for adhesive 1.
Each data point is an average of three values obtained from the repetitions. The lines show least
square regressions between the probabilities and exp(1/T).
0
3
6
9
12
15
0 20 40 60 80 100
β,γ
(10
-7s
-1)
RH (%)
β-60°C
γ-60°C
β-40°C
γ-40°C
Figure 3. 11 Variation of β and γ probabilities with RH at temperatures of 40°C and 60°C for
adhesive 1. Each data point is an average of three values obtained from the repetitions. The
lines are only to guide the trends.
60
3.4.2 Moisture desorption
After the absorption process, the samples were dried in a vacuum oven at 40°C to
measure the desorption profiles. The mass of samples decreased uniformly with drying time to
minimum fractional retained water, Mr (%) and remained unchanged, even after approximately 3
months. The simple Fickian model sufficiently characterized the desorption process in both
adhesives in terms of the desorption diffusion coefficient, Dd, the saturated fractional mass
uptake, M∞ and the minimum fractional retained water, Mr. Dd was determined in the same
manner as D1 using Eq. (17) and normalized mass loss profiles.
3.4.2.1 Fractional retained mass profiles of adhesives 1 and 2
Figures 3.12-3.14 show the experimentally measured fractional retained mass, versus
square root of time, t1/2
and Fickian fits for the wafers of adhesive 1 that had been exposed to
different RH at 20, 40 and 60°C. Figure 3.15 shows the same results for adhesive 2 with the
exposure condition of 60°C-95% RH. No second slope was observed during desorption and the
simple Fickian model adequately characterized the behaviour of both adhesives. The main
difference between the fractional retained mass profiles of the adhesives 1 and 2 was the
minimum fractional retained water, Mr; 1.4% and 0.16%, respectively, for the same M∞ of 4.8%.
The Mr value for adhesive 1 was approximately 30% of the corresponding M∞.
As mentioned previously, Marsh et al. [15] and Moy and Karasz [16] concluded that a
drying temperature above Tg was required to completely remove absorbed water from epoxy
resin. Zhou and Lucas [14] observed some retained water in both DGEBA and TGDDM based
epoxies after drying at temperatures up to 90°C, which was greater than Tg. They found that the
amount of retained water eventually reached zero, but the activation energy required for high-
temperature desorption was higher than that of low-temperature desorption. They concluded that
the water molecules retained after low-temperature desorption had multiple hydrogen bonds with
the epoxy network.
61
0
1
2
3
4
0 200 400 600 800 1000 1200
Mtl
(%)
t1/2 (s1/2)
20°C
95%RH
82%RH
43%RH
Figure 3. 12 Fractional retained mass during drying versus square root of time, fitted with the
simple Fickian model for adhesive 1 initially saturated at 20°C and different RH. Each data
point is an average of three repetitions.
0
1
2
3
4
5
0 200 400 600 800 1000 1200
Mtl
(%)
t1/2 (s1/2)
40°C
95%RH
82%RH
75%RH
43%RH
31%RH
Figure 3. 13 Fractional retained mass during drying versus square root of time, fitted with
simple Fickian models for adhesive 1 initially saturated at 40°C and different RH. Each data
point is an average of three repetitions.
62
0
1
2
3
4
5
6
7
0 200 400 600 800 1000 1200
Mtl
(%)
t1/2 (s1/2)
60°C
95%RH
82%RH
43%RH
Figure 3. 14 Fractional retained mass during drying versus square root of time and fitted simple
Fickian models for adhesive 1 initially saturated at 60°C and different RH. Each data point is an
average of three repetitions.
0
1
2
3
4
5
0 200 400 600 800 1000 1200 1400
Mtl
(%)
t1/2 (s1/2)
60°C - 95% RH
Figure 3. 15 Fractional retained mass profile during drying versus square root of time and fitted
simple Fickian model for adhesive 2 initially saturated at 60°C-95%RH. Each data point is an
average of three repetitions.
63
3.4.2.1 The effect of temperature and RH on the minimum fractional
retained water
Figures 3.16 and 3.17 show that Mr was proportional to the temperature and RH during
the absorption process for adhesive 1. At low temperature (20°C), Mr remained relatively
unchanged with RH (Fig. 3.17). Similarly, at low RH (43%), Mr was largely independent of T.
Figure 3.18 also shows that Mr increased linearly with the ambient water concentration during
absorption, regardless of temperature.
Figure 3.19 depicts the variation of minimum fractional retained water during the
desorption process, Mr with the saturated fractional mass uptake M∞ (M1∞+M2∞=M∞) which was
obtained at different combinations of temperature and RH. Mr increased linearly with M∞,
independent of the original exposure condition. This finding may be useful in predicting the
amount of retained water in the adhesive exposed to a varying environment.
0
0.5
1
1.5
2
0 10 20 30 40 50 60
Mr(%
)
Temperature (°C)
95%RH
82%RH
43%RH
Figure 3. 16 Variation of minimum fractional retained water, Mr with the temperature of
absorption condition at different RH levels for adhesive 1. Each data point is an average of three
repetitions. The linear least square fits show the general trends.
64
0
0.5
1
1.5
2
0 20 40 60 80 100
Mr(%
)
RH (%)
60°C
40°C
20°C
Figure 3. 17 Variation of minimum fractional retained water, Mr with the RH of the absorption
condition at different temperatures for adhesive 1. Each data point is an average of three
repetitions. The linear least square fits show the general trends.
0
0.5
1
1.5
2
0 25 50 75 100 125 150
Mr(%
)
Ambient water concentration (g/m3)
Figure 3. 18 Variation of minimum fractional retained water, Mr with the ambient water
concentration achieved during different exposure conditions for adhesive 1. Each data point is
an average of three repetitions. The linear least squares fit shows the general trend.
65
0.0
0.5
1.0
1.5
2.0
0 1 2 3 4 5 6 7 8
Mr(%
)
M∞ (%)
Figure 3. 19 Variation of minimum fractional retained water during the desorption process with
the saturated fractional mass uptake, M∞ for adhesive 1. Each data point is an average of three
repetitions. The linear least square fit shows the general trend.
3.4.3 XPS analysis
The significant difference between Mr for these two adhesives was investigated using
XPS. Table 3.7 shows the percentage of oxygen atoms associated with different chemical bonds
(binding energies) for fresh (as-cured), saturated wet, and dried samples of adhesives 1 and 2.
The O1sB peak corresponded to a bond associated with water molecules since it was present in
the wet samples of both adhesives, but not in the fresh and dried samples of adhesive 2, nor was
it significant in the fresh adhesive 1. As seen in Table 3.7, the atomic percentage of O1sB was
10% in dried samples of adhesive 1 which qualitatively supports the gravimetric results
indicating that a considerable amount of absorbed water in the adhesive 1 could not be removed
during the drying process at 40°C.
66
Table 3. 7 Percentage of oxygen atoms associated with different chemical bonds with their
binding energy for fresh, saturated wet and dried samples of adhesives 1 and 2. Each data point
is an average of three repetitions.
Exposure
condition:
60°C-95% RH
O1s O1sA O1sB
Atomic
%
Binding
energy
(eV)
Atomic
%
Binding
energy
(eV)
Atomic
%
Binding
energy
(eV)
Adhesive 1
Fresh (Mt=0) 84 532.7 12 534.0 4 531.0
Wet
(Mt=M∞=6.98%) 67 532.6 15 533.6 18 531.5
Dry
(Mt=Mr=1.82%) 76 532.7 13 533.7 10 531.4
Adhesive 2
Fresh (Mt=0) 77 532.9 23 533.8 0 N/A
Wet
(Mt=M∞=4.78%) 62 532.8 15 533.8 23 531.6
Dry
(Mt=Mr=0.20%) 76 532.8 24 533.7 0 N/A
3.5 Conclusions
The water absorption and desorption of two different rubber-toughened epoxy adhesives
were characterized using gravimetric measurements. A newly developed sequential dual Fickian
(SDF) model was developed to fit the fractional mass uptake profiles and agreed well with the
Langmuir diffusion model. The diffusion mechanism in the first stage appeared to be influenced
by hydrogen bonding while the diffusion mechanism in the second stage was primarily physical
in nature. The diffusion coefficients in both stages were found to be largely independent of RH,
while the saturated fractional mass uptake values increased with RH. The diffusion coefficient
of the first stage and the saturated fractional mass uptake of the second stage were both functions
of temperature. These functional dependencies were described, making the SDF model
predictive over the ranges of temperature and RH that were investigated.
The desorption during drying in both adhesives was described well by Fick’s law. Both
gravimetric results and XPS revealed that there was a significant difference between the amounts
67
of minimum fractional retained water in the two adhesives after drying. The relatively large
amount of retained water in adhesive 1 was attributed to multiple hydrogen bonds between the
water molecules and the epoxy or other constituents such as the rubber toughener particles or the
filler. In a separate test program, it was found that these differences in water absorption-
desorption corresponded to marked differences in the degradation of fracture toughness in hot-
wet aging environments (to appear in a future publication).
The SDF model can be used to predict the water concentration distribution in adhesive
joints exposed to environments of changing temperature and RH under the assumption of
negligible interface diffusion.
68
3.6 References
1. LaPlante, G., Ouriadov, A.V., Lee-Sullivan, P., Balcom, B. J., J. Applied Polymer
Science 109, 1350-1359 (2008).
2. Fernandez-Garcia, M., Chiang, M.Y.M., J. Applied Polymer Science 84, 1581-1591
(2002).
3. Musto, P., Ragosta, G., Mascia, L., Chem. Mater. 12, 1331-1341 (2000).
4. Weir, M. D., Bastide, C., Sung, C. S. P., Macromolecules 34, 4923-4926 (2001).
5. Masaro, L., Zhu, X. X., Prog. Polym. Sci. 24, 731–775 (1999).
6. Popineau, S., Rondeau-Mouro, C., Sulpice-Gaillet, C., Shanahan, M. E. R., J. Polymer
46,,10733–10740 (2005).
7. Roy, S., Xu, W. X., Park, S. J., Liechti, K. M., J. Applied Mechanics 67, 391-396 (2000).
8. Mubashar, A., Ashcroft, I. A., Critchlow, G. W., Crocombe, A. D., Int. J. Adhesion
Adhesives 29, 751-760 (2009).
9. Loh, W. K., Crocombe, A. D., Abdel Wahab, M. M., Ashcroft, I. A., Int. J. Adhesion
Adhesives 25, 1–12 (2005).
10. Maggana, C., Pissis, P. J., Polym. Sci. Part B: Polym. Phys. 37,1165-1182 (1999).
11. Feng, J., Berger, K. R., Douglas, E. P., J. Mater. Sci. 39, 3413–3423 (2004).
12. Carter, H. G., Kibler, K. G., J. Compos. Mater. 12, 118–131 (1978).
13. Lin, Y. C., J. Polymer Research 13, 369-374 (2006).
14. Zhou, J., Lucas, J. P., J. Polymer 40, 5505–5512 (1999).
15. Marsh, L. L., Lasky, R., Seraphim, D. P., Springer, G. S., In: Springer G. S, editor
Environmental effects on composite materials (Technomic Publishing Co., Westport,
1988) p. 51.
16. Moy, P., Karasz, F. E., Polym. Eng. Sci. 20, 315-319 (1980).
17. Loh, W. K., Crocombe, A. D., Abdel Wahab, M. M., Ashcroft, I. A., J. Adhesion 79,
1135–1160 (2003).
18. Loh, W. K., Crocombe, A. D., Abdel Wahab, M. M., Ashcroft I. A., Eng. Frac. Mech.
69, 2113–2128 (2002).
19. Greenspan, L., J. Research National Bureau Standards A: Physics and Chemistry 81, 89-
96 (1977).
69
20. ASHRAE Handbook – Fundamentals, (American Society of Heating, Refrigerating and
Air-Conditioning Engineers, Inc., 2009) I-P Edition, pp: 1.1-1.20.
21. Wylde, J. W., Spelt, J. K., Int. J. Adhesion Adhesives 18, 237-246 (1998).
22. De Neve B, Shanahan M. E. R., Int J Adhesion Adhesives 12, 191–196 (1992).
23. Atkins, P. W., Quanta (Oxford University Press, New York, 1990) 2nd ed., p. 68.
24. El-Sa’ad, L., Darby, M. I., Yates, B., J. Mater. Sci. 24, 1653–1659 (1989).
25. Chang, T., Lai, Y. H., Shephard, N. E., Sproat, E. A., Dillard, D. A., J. Adhes 60, 153–
162 (1997).
26. Ivanova, K. I., Pethrick, R. A., Affrossman, S., J. Applied Polym. Sci. 82, 3468–3476
(2001).
27. Tu, Y., Spelt, J. K., J. Adhesion 72, 359-372 (2000).
70
Chapter 4 The Effects of Test Temperature and Humidity on the Mixed-
mode Fatigue Behavior of a Toughened Adhesive Aluminum Joint
4.1 Introduction
The fatigue performance of structural adhesive joints is known to degrade when tested in
environments of elevated temperature [1-3], high humidity [4-7], or combinations of these [8-
10]. Since this degradation happens in a relatively short period of time during the fatigue test
itself, such hot-wet fatigue tests have been proposed as a means of quickly assessing the long-
term degradation behavior of adhesive joints [7,9]. Briskham and Smith [9] compared the
relative durability of different surface pretreatments by cyclically loading aluminum-epoxy
single lap shear (SLS) joints under water and by tensile testing after aging. They observed that
certain joints degraded significantly while cyclically loaded under water, but did not show any
loss of tensile shear strength even after 1500 hr of aging.
Abel et al. [4] found that a critical humidity level exists below which the mode I fatigue
threshold behavior of epoxy-aluminum joints remained unaffected by the test environment;
however, the crack growth rates were not measured, and the tests were performed only at room
temperature. In contrast, Ritter et al. [11] observed that the crack growth rate of epoxy-glass
joints under mixed-mode loading was independent of the humidity level during the test.
Harris and Fay [2] found that the fatigue life of steel-epoxy SLS joints decreased as the
test temperature increased. A similar decrease in fatigue life with increasing temperature was
observed using plastic-plastic and metal-plastic SLS joints [10]. However, Ashcroft et al. [1, 3]
observed that the effect of temperature on fatigue threshold depended on the joint geometry for
composite double cantilever beam, single lap shear, and double lap shear joints. They attributed
this dependence to the accumulated creep that changes with the joint geometry for a given
temperature. The understanding of the mixed-mode fatigue behavior of adhesive joints in
environments of high temperature and humidity is limited, and further study is necessary to
predict the long-term behavior of adhesive systems. The present study investigated the effects of
the test environment on the mixed-mode fatigue behavior of joints made with aluminum and a
71
highly-toughened epoxy adhesive. The experiments isolated the effects of pretreatment,
temperature and humidity on both the fatigue threshold and crack growth rates.
4.2 Experiments
4.2.1 Specimen preparation
ADCB specimens (Fig. 4.1) were made with aluminum alloy AA6061-T6 adherends
bonded with a single-part, heat-cured toughened epoxy adhesive. These specimens produced a
phase angle, 18 , defined as III GGarctan , where GI and GII are the mode I and
mode II strain energy release rates, respectively. The purpose of choosing such a mixed-mode
specimen and loading configuration was to direct the crack path toward the interface of the
more highly-strained adherend, particularly at slow crack growth rates near the threshold
[13,14]. This created a test situation that provided a better evaluation of the interfacial bond
integrity than would a pure mode-I loading where the crack tends to follow an average path in
the mid-plane of the adhesive layer. The exact value of the phase angle (18) was arbitrary, the
only requirement being an appreciable amount of mode II in the loading. The adhesive was
cured using the recommended temperature profile of at least 30 min at 180ºC, monitored with
an embedded thermocouple. The thickness of the adhesive layer was 0.4 mm, controlled by
clamping the adherends against steel wires. A precrack was formed by placing a folded 10 µm
aluminum foil in the adhesive layer. Prior to bonding, the aluminum adherends were abraded
with an orbital sander using a silicon carbide nylon mesh abrasive pad that produced a surface
roughness, Ra=1.33 µm. The abraded aluminum adherends were then pretreated using the P2-
etch method [12] that involved acetone cleaning and etching with an aqueous solution of ferric
sulfate and sulfuric acid. After curing, any excess adhesive from both sides of the specimen
was removed using a belt sander with 120 grit sand paper and water as a coolant, followed by a
final stage of gentle hand sanding with a 600 grit sand paper to minimize mechanical damage.
A thin layer of diluted white paper correction fluid was applied to the bondline, in order to
facilitate observation of the crack tip during the fatigue testing.
In addition, reinforced ADCB specimens were prepared using 2 mm thick AA5754-O
aluminum sheets having a commercial coil-coated pretreatment. The objective was to study
the effect of pretreatment in resisting harsh environments under fatigue conditions. To achieve
72
a wide range of G levels while avoiding yielding of the relatively thin sheet adherends, the
reinforcement technique of ref. [8] was used, as illustrated in Fig. 4.2.
Figure 4. 1 Configuration of ADCB specimen (dimensions in mm, not to scale). Width of
specimen was 19 mm. The clip gauge mounting location is also shown.
Figure 4. 2 Configuration of reinforced ADCB specimen (dimensions in mm, not to scale). The
reinforcing bar (A) and second adherend (E) were 12.7 mm and 25.4 mm thick AA6061-T6 bars,
respectively. The reinforcing adhesive (B) and primary adhesive (D) were 0.4 mm thick, and the
pretreated sheet (C) was 2 mm thick. Width of specimen was 19 mm. The clip gauge mounting
location is also shown.
4.2.2. Fatigue tests
Fatigue testing was performed with a servo-hydraulic load frame under displacement
control using a sinusoidal waveform at a frequency of 20 Hz. A constant displacement ratio
73
(ratio of minimum to maximum displacement, δmin/δmax) of 0.1 was used. The typical δmax used
in these tests was approximately 1 mm. Since δmax and displacement ratio were fixed, testing
began with the application of the highest strain energy release rate, G, where the crack length
was the shortest, which then decreased as the crack grew under constant displacement until the
threshold crack growth rate (10-6
mm/cycle) was reached at the threshold strain energy release
rate, Gth. As indicated in Table 4.1, in some cases a single specimen was used to measure two
thresholds.
The primary purpose of using ADCB specimens, rather than a symmetric mode-I DCB
configuration, was to cause cracks to grow near the adherend interface of interest; i.e. the
reinforced sheet. In addition, it has been found that fatigue crack growth under mixed-mode
loading, by promoting such asymmetric crack growth within the bondline, provides a more
sensitive test of the interfacial bond strength than the mode-I DCB specimen, particularly at slow
crack growth rates near the threshold [13,14].
Table 4. 1 Temperature and humidity conditions used in fatigue experiments. Number of
thresholds reached and ADCB specimens tested.
T (ºC) RH (%) Substance placed in the chamber
Number of thresholds reached,
specimens tested
P2-etch pretreatment CC pretreatment
20 <10 Desiccant 3,3 3,3
40 <10 Desiccant 4,3 -
40 43 Saturated solution of K2CO3 3,2 -
40 95 Saturated solution of K2SO4 3,2 -
40 100 Distilled water 3,3 3,3
80 <10 Desiccant 3,2 -
Humidity and temperature control
The ADCB joints were enclosed in a chamber with a thermostatted resistive heating
element and a fan to maintain a constant temperature. The dry and humid conditions were
74
maintained by placing either desiccant or various saturated salt solutions in the chamber, as
indicated in Table 4.1. Each salt solution was at equilibrium at the desired relative humidity
(Table 4.1; [15,16]), and the fan ensured that the air was uniformly mixed. The humidity
levels were monitored during testing using a humidity probe (Vaisala HMT100, Vaisala Inc.,
Woburn, MA, USA).
Crack length measurements
Crack length was measured using the specimen compliance method which was calibrated
using optical measurements with a CCD camera mounted on a motorized linear stage. A
telescopic lens attached to the camera allowed a field of view of 2 mm. To obtain clear
photographs of the crack tip, the specimen cycling was stopped and held at the mean load for 15 s
every 9,000 cycles. Unlike fracture tests where the much greater applied strain energy release
rates create a relatively large damage zone of micro-cracks ahead of the macro-crack [17], in
fatigue tests these micro-cracks were absent and the crack tip was well defined by the macro-
crack. The specimen compliance was obtained from the relationship between the crack opening
and the applied force during the unloading portion of the loading cycle. A clip gauge (Model
3541, Epsilon Technology Corp., Jackson, WY, USA) recorded the normal opening at the loading
pins (Fig. 4.1 and 4.2). A polynomial relationship between the optically observed crack length and
the specimen compliance was established according to ASTM E647 [18]. The crack length
inferred from this relationship and the continuous clip gauge compliance data were used in
subsequent calculations of the crack growth rates and G. Azari et al. [14] used this same
procedure to measure crack lengths in fatigue tests with the same adhesive system used in this
study. They showed that the measured specimen compliance agreed well with that calculated
using analytical and the finite element analyses [14].
Strain energy release rate calculations
An analytical beam-on-elastic-foundation model for unequal adherends was used to
calculate G and Ψ from the measured force and crack length [8]. The G values from this
analytical model differed by less than 6% from those obtained using a finite element model that
assumed elastic properties for both the adhesive and adherends [8]. The average phase angles
calculated using the analytical model for ADCB (Fig. 4.1), and reinforced ADCB (Fig. 4.2)
75
specimens were 18° and 13º, respectively. These calculations were performed using the
mechanical properties of the adhesive provided by the manufacturer and of the adherends taken
from ref. [19,20], as given in Table 4.2. There was only a negligible change in Ψ as the crack
grew, e.g., for the ADCB specimens, Ψ increased by only 2° over crack lengths of 40 to 120 mm
[8]. Furthermore, a sensitivity analysis showed that an error in measuring the crack length by 1
mm, for crack lengths in the range of 40-120 mm, changed G by at most 4%, which can be
considered as negligible.
Table 4. 2 Mechanical properties of adhesive at room temperature as provided by the
manufacturer and of adherends taken from ref. [17,18].
Elastic modulus (GPa) Poisson ratio Yield stress (MPa)
Adhesive 1.5 0.45 44.8
AA6061-T6 [17] 68.9 0.33 255
AA5754-O [18] 68.9 0.33 165
4.3 Results and Discussion
4.3.1. Effect of temperature
To study the effect of the temperature on the fatigue behavior, fresh aluminum ADCB
joints were tested in a dry air environment at temperatures of 20º, 40º, and 80ºC, well below the
140ºC glass transition temperature of the adhesive. Figure 4.3 shows that the measured Gth for
these joints remained virtually constant; the small differences were not statistically significant (t-
test, 95% confidence).
Figures 4.4 and 4.5 show the da/dN vs. Gmax curves at these three temperatures. For each
temperature, a linear regression line was fit to all data points in the Paris (linear) region of the
curves. The slopes and 95% confidence intervals for these regression lines were: 20ºC:
4.120.15, 40ºC: 4.580.26, 80ºC: 5.250.25. Therefore, the increase in slope with temperature
was statistically significant at the 95% confidence level, indicating a faster crack growth for the
76
same applied Gmax as the temperature increased. The differences between the curves tended to
become slightly smaller at lower crack speeds, near the threshold.
As expected in these ADCB joints, the fatigue crack paths were always much closer to
the more highly-strained arm of the ADCB, since cracks tend to grow normal to the direction of
the maximum principal stress [21]. Figure 4.6 compares the fracture surfaces of the thinner arms
of the ADCB joints tested at various temperatures. The crack path remained cohesive in the
adhesive at all crack speeds and temperatures. However, the thickness of the residual adhesive
on the highly-strained adherend varied with the temperature and the crack length. The
dependence on crack length implies that the residual adhesive thickness on the thinner adherends
was directly proportional to the applied strain energy release rate and the crack growth rate.
Fatigue cycling may increase the crack tip temperature due to viscous dissipation,
although the effect is usually relatively small. For example, the maximum crack tip temperature
increased by less than 1°C in rubber-toughened epoxies tested at 1–100 Hz [22], and
approximately 10°C in nylon and polyester composites tested at 20 Hz in the Paris law crack
growth regime [23]. The increase in temperature of aluminum adhesive joints would be much
smaller due to the rapid heat dissipation provided by the adherends. Therefore, any effects of a
small increase in adhesive temperature due to viscous damping were ignored.
77
Figure 4. 3 Effect of test temperature on the average Gth of P2-etch pretreated ADCB joints
tested under dry conditions. Numbers above each data point indicate the number of thresholds
reached and number of specimens tested, respectively; these two numbers are different in cases
where a single specimen was used to reach two thresholds. Error bars show ± standard
deviation.
0
50
100
150
200
0 20 40 60 80 100
Gth
(J/m
2)
Temperature (ºC)
3,34,3
3,2
78
Figure 4. 4 Effect of temperature on fatigue crack growth behavior of P2-etch pretreated ADCB
joints. Two of three experimental results shown for each temperature.
-7
-6
-5
-4
-3
-2
2 2.2 2.4 2.6 2.8 3 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
20ºC #1
20ºC #2
40ºC #1
40ºC #2
80ºC #1
80ºC #2
79
Figure 4. 5 Effect of temperature on the fatigue crack growth behavior of P2-etch pretreated
ADCB joints. Each line is a linear regression fit of all the data points lying on the Paris law
(linear) region at a temperature, as show in Fig. 4.4.
-7
-6
-5
-4
-3
-2
2 2.2 2.4 2.6 2.8 3 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
20ºC
40ºC
80ºC
80
Figure 4. 6 Failure surfaces on the thinner adherend of joints tested under dry conditions at
temperatures of (a) 20ºC, (b) 40ºC, and (c) 80ºC. In cases where a single specimen was used to
reach two thresholds, both threshold regions are indicated.
Residual adhesive thickness
To accurately define the crack path, the residual adhesive thickness was measured at
various crack lengths on the highly-strained adherend of the fractured specimen. To provide an
elevation datum corresponding to the interface, residual adhesive was removed from a narrow
region, about 2 mm wide, on both ends of the joint width using a solvent (mixture of methylene
chloride and methyl alcohol; Glue Buster, Kosmic Surf-Pro Inc., Saint Amable, Quebec). Then
using an optical profilometer (NANOVEA ST400, Micro Photonics Inc. CA, USA), a line scan
was made across the width of the joint with both ends on the datum regions, thereby giving the
thickness of the adhesive layer. Figure 4.7 shows typical failure surface profiles measured across
the specimen width on the more highly-strained adherend at G values of 750 J/m2 and 147 J/m
2
for a specimen tested at 80ºC. Figure 4.8 summarizes the measured residual adhesive
thicknesses changes with applied G for specimens tested at various test temperatures. At any test
temperature, the residual adhesive thickness decreased consistently as the applied G, and hence
81
the crack speed, decreased. This tendency of a crack to move closer to the interface under
mixed-mode loading as the crack speed decreases was also observed in refs. [8,13]. More
importantly, the residual adhesive thickness at any particular applied G increased with
temperature (Fig. 4.8). It was hypothesized that these differences in crack path can be explained
in terms of the effect of temperature on the size of the crack tip damage zone. However, the
actual damage zone size is difficult to predict since it consists of yielded adhesive, cavitation
voids and dispersed micro-cracks ahead of the continuous macro-crack. Therefore, as an
approximation it was assumed that the size of the damage zone would be proportional to the
plastic zone, and that a relative comparison of damage zone sizes under different loads and
conditions could be made in this manner. A similar approach of using plastic zone size was used
by Kinloch and Shaw [24] to explain the effects of temperature on the fracture toughness of a
toughened epoxy.
82
(a)
(b)
Figure 4. 7 Typical profiles of fracture surfaces measured across the specimen width on the
more highly-strained adherend at G values of: (a) 750 and (b) 147 J/m2 for specimens tested at
80ºC. The corresponding residual adhesive thickness values are given in legend. 0 µm on
vertical axis corresponds to interface between highly-strained adherend and adhesive.
0
100
200
300
400
0 4 8 12 16
He
igh
t (µ
m)
Length (mm)
Gmax=750 J/m2, tr=176 µm
0
100
200
300
400
0 4 8 12 16
He
igh
t (µ
m)
Length (mm)
Gmax=147 J/m2, tr=15 µm
83
Figure 4. 8 Thickness of the remaining adhesive on the more highly-strained adherend as a
function of applied Gmax.
Plastic zone size
In an unconstrained material the size of the plastic zone is directly proportional to the
elastic modulus and inversely proportional to the square of the yield stress [25], both of which
are known to decrease as temperature increases [1]. Furthermore, since the yield stress decreases
more rapidly than the elastic modulus [1], and the plastic zone size is more sensitive to yield
stress than elastic modulus, the size of the plastic zone is expected to increase with temperature.
An additional factor in adhesive joints is the constraint imposed by the adherends which can
affect the development of the plastic zone [26]. The changes in the size of the plastic zone with
temperature were studied using a two-dimensional finite element model.
The ADCB specimen was modelled with PLANE 183 elements (ANSYS 12.0,
Canonsburg, PA, USA). The crack tip was meshed using collapsed quarter-point singular
elements, and the crack plane in the adhesive layer was positioned according to the measured
crack paths (Fig. 4.8). The adhesive was modelled using a multi-linear stress-strain curve with
plane strain assumptions, while the adherends were modelled as a linear elastic material with
plane stress assumptions. Figure 4.9 shows the multi-linear stress-strain relations of the adhesive
at room temperature (obtained from tensile tests) and at 80ºC, based on the trend observed in [1],
0
50
100
150
200
0 200 400 600 800
Th
ickne
ss (
µm
)
Gmax (J/m2)
80ºC
40ºC
20ºC
84
whereby both elastic modulus and yield stress decrease by 50% of the room temperature values.
The size of plastic zone was defined as the area in which the von Mises stress was larger than the
adhesive proportional limit, consistent with recent work [26] which modeled the fatigue behavior
of toughened epoxies. Azari et al. [26] showed that the predicted area of the plastic zone using a
similar 2D FE model was on average 12% smaller than the predicted area in the middle of the
joint using a 3D FE model. This difference is acceptable for the purpose of qualitatively relating
the size of the plastic zone to the applied G; therefore, the 2D model was used in this study.
Figure 4.10(a) shows the effect of G on plastic zone thickness at both temperatures. The
plastic zone always extended to the more highly-strained adherend interface. Furthermore, the
plastic zone thickness was less than the bondline thickness for the range of G studied at room
temperature and for G up to 200 J/m2 at 80ºC; i.e. plastic zone was constrained only by the more
highly-strained adherend. However, for G above 200 J/m2 at 80ºC the plastic zone thickness
occupied the entire bondline and was constrained by both adherends. The observation that the
plastic zone at room temperature and at 80ºC was constrained only by the more highly-strained
adherend near Gth might explain the observed insensitivity of temperature on Gth. Figure 4.10(b)
shows that, as expected, the plastic zone size increased with temperature and applied G. It is
plausible to expect crack growth rates (which increase with G, Fig. 4.4) to be proportional to the
cross-sectional area of the plastic zone, since this is a reflection of the damage being done to the
crack tip adhesive by the loads. This trend is also consistent with the changes in the crack speed
shown in Fig. 4.4. Furthermore, if it is assumed that the crack path lies toward the center of the
plastic zone, the residual adhesive thickness on the more highly-strained adherend would be
expected to increase with temperature, which agrees with the observations made in Fig. 4.8.
Another factor that may have contributed to the increase in residual adhesive thickness
with temperature was the reduction in the phase angle associated with a decrease in the adhesive
modulus. The phase angle is known to decrease as the stiffness mismatch between the adhesive
and the adherend increases [27]. For example, a 50% reduction in the adhesive modulus would
decrease the phase angle in the aluminum ADCB joint by 2º. As the phase angle approaches 0º
(pure mode I), the crack path moves progressively toward the midplane of the joint, as expected
for this symmetric loading. This was illustrated in [13] using the same adhesive system, where it
was found that the thickness of the remaining adhesive decreased with increasing phase angle.
85
However, since the decrease in phase angle with temperature was small, phase change might not
be solely responsible for the observed change in crack path.
Figure 4. 9 Multi-linear model used for the adhesive at both room temperature (tensile test) and
at 80ºC (elastic modulus and proportionality limit reduced by 50% of room temperature values).
0
10
20
30
40
50
0 0.02 0.04 0.06 0.08 0.1
Tru
e s
tress, M
Pa
True strain, mm/mm
Room temperature
80ºC
86
(a)
(b)
Figure 4. 10 Effect of G on the (a) plastic zone thickness, and (b) plastic zone size, both at room
temperature and at 80ºC obtained using FE model for ADCB specimen.
0
0.1
0.2
0.3
0.4
0.5
0 200 400 600 800
Pla
stic z
on
e t
hic
kne
ss, m
m
Gmax, J/m2
Room temperature
80ºC
0
0.25
0.5
0.75
0 200 400 600 800
Pla
stic z
on
e a
rea
, m
m2
Gmax, J/m2
Room temperature
80ºC
87
4.3.2 Effect of humidity level
Figure 4.11 shows the Gth of joints tested at 40ºC and the four levels of relative humidity.
Gth remained virtually unchanged at the lower humidities of 0%, 43% and 95% RH, but
decreased significantly at 100% RH, by approximately 50% of the undegraded threshold. The
corresponding crack growth rate curves for single representative specimens at each humidity
level are shown in Fig. 4.12. At relatively high crack growth rates, the curves were
indistinguishable. However, at lower crack growth rates approaching the threshold, the fatigue
performance at 100% RH was degraded appreciably. This behavior is consistent with the
explanation proposed in ref. [28], whereby the onset of degradation in fracture specimens was
related to the relative speed of moisture diffusion and crack advance. Figure 4.13 shows the
steady-state moisture concentration profile ahead of the crack tip for a crack moving at constant
crack growth rate exposed to 40ºC–95% RH environment, using the analytical diffusion relation
[29]:
D
vr
D
vrK
D
vr
D
vrK
C
C
s
2
cosexp
2
2
cosexp
2
00
0
0
(1)
where, C is the moisture concentration at a distance r ahead of the moving crack tip, r0 is the
crack tip radius (assumed as 1 µm), v is the crack speed, D is the diffusion coefficient, Cs is the
equilibrium moisture concentration at the crack tip, and K0 is the modified Bessel function of
second kind and order zero. The D and Cs values used for the adhesive were 1.34×10-12
m2/s and
3.34%, respectively, taken from ref. [30] where the hygrothermal properties were characterized
for the same adhesive used in this study. It can be seen from Fig. 4.13 that for crack growth rates
of 10-5
mm/cycle and above, the moisture diffusion ahead of the crack tip was less than about 10
µm, which was less than 10% of the plastic zone length at threshold. This was assumed to be a
negligible amount of water uptake which would not affect the properties of the crack tip region.
This explains the observed insensitivity of moisture to fatigue behavior at higher crack growth
rates.
88
The difference between the 100% RH experiments and those at lower RH may be due to
the presence of liquid water at the crack tip. This was investigated by applying a load to the
ADCB and photographing the crack tip immediately after the fatigue threshold was reached.
Figure 4.14 shows the presence of condensed water within the crack as a highly reflective band
behind the crack tip. Such moisture condensation was absent in joints tested at humidities below
saturation.
At elevated humidities, the presence of condensed water at a crack tip is usually
explained by capillary condensation, which is described by the Kelvin equation relating the
curvature of the liquid-air interface and the partial pressure of the water vapor [31]. The radius
of curvature increases exponentially as RH approaches the saturation level, thereby facilitating
condensation in ever wider cracks. Therefore, water condensation was observed in fatigue tests
at 100% RH, but not at 95% RH.
The condensed water at crack tip in 100% RH tests changes the exposure environment to
one similar to water immersion, which can significantly increase the saturated moisture
concentration in the adhesive. Gravimetric measurements using wafers of the adhesive (30 × 30
× 0.4 mm) showed that changing the exposure environment from 95% RH to water immersion
increased the saturated moisture concentration by 15% (i.e. from 4.75% at 95% RH to 5.47%
when immersed in water). The increased moisture concentration in the adhesive can also
increase the moisture available at the interface, thereby accelerating interfacial degradation. The
effects of the absorbed moisture were studied by observing the crack paths.
89
Figure 4. 11 Effect of RH on Gth for P2-etch pretreated ADCB joints tested at 40ºC. Given
values are average Gth (error bars indicate ± standard deviation). Numbers above each data point
indicate the number of thresholds reached and the number of specimens tested, respectively;
these two numbers are different in cases where a single specimen was used to reach two
thresholds.
Figure 4. 12 Effect of RH on the fatigue crack growth behavior of P2-etch pretreated ADCB
joints tested at 40ºC. Each data series is from a single specimen.
0
50
100
150
200
0 50 100
Gth
(J/m
2)
RH (%)
4, 33, 2
3, 2
3, 3
-7
-6
-5
-4
-3
-2
1.8 2.3 2.8 3.3
Lo
g (
da
/dN
)
Log Gmax (J/m2)
Dry
43% RH
95% RH
100% RH
90
Figure 4. 13 Moisture concentration versus distance ahead of crack tip for exposure to 40ºC-
95%RH environment at different crack growth rates. Crack tip radius assumed as 1 µm.
Figure 4. 14 Magnified image of a crack opening viewed from the side of the specimen showing
reflection from condensed water at the interface. Crack tip is to the right of the image.
0
0.2
0.4
0.6
0.8
1
0.000001 0.00001 0.0001 0.001
C/C
s
Distance ahead of crack tip (m)
10-7 mm/cycle
10-6 mm/cycle
10-5 mm/cycle
10-4 mm/cycle
91
Crack paths
Figure 4.15 compares the fracture surfaces of the thinner arms of the ADCB joints tested
under various humid environments. At higher crack speeds, the crack paths were very similar in
the four cases. Furthermore, as the crack speed decreased, in all cases the crack paths moved
closer to the more highly-strained adherend, a behavior that has also been reported under mixed-
mode loading in refs. [8,13,14]. At low crack growth rates near the threshold, this tendency may
have contributed to a marked change in the crack path of specimens tested at 100% RH
compared to those tested at the lower humidities. Near the threshold, the cracks became
interfacial in joints tested at 100% RH, but remained cohesive at the other humidities. This was
confirmed by looking at the failure surfaces in the threshold region using an optical microscope
for specimens tested at 95% RH and 100% RH, as shown in Fig. 4.16. The failure surface at
95%RH shows fragments of adhesive remaining on the adherend indicating a cohesive failure,
but at 100% RH no visible epoxy fragments were observed indicating an interfacial failure. This
was confirmed to be an interfacial failure by time-of-flight secondary ion mass spectrometry
(ToF-SIMS) analysis as explained in the next section.
92
Figure 4. 15 Failure surface of the joints tested at 40ºC and under RH levels of (a) 0%, (b) 43%,
(c) 95% and (d) 100%. On each failure surface the threshold region is indicated.
93
(a) (b)
Figure 4. 16 Magnified image of the failure surface on the highly-strained adherend at threshold
region for P2-etch pretreated joints tested under RH levels of (a) 95% and (b) 100%.
Failure surface analysis
Figure 4.17 compares the negative ToF-SIMS spectra of the bare P2-etched aluminum
and the adherend failure surface from the threshold region of a joint tested at 100% RH (as in
Fig. 4.15(d)). An increase in aluminum hydroxide species on the 100% RH specimen is evident
as an increase in the ratio of OH (m/z = 17 Da) to O (m/z = 16 Da); approximately 1.0 for the
bare P2-etch treated aluminum and 1.24 for the grey, threshold region of the failure surface.
This is also apparent in the increase of the heights of the peaks corresponding to the various
forms of hydrated Al2O3. The growth of hydrated aluminum oxides is associated with the
formation of a weaker interface [32], and would explain the poorer fatigue performance of
specimens tested at 100% RH.
Davis et al. [33] found that aluminum oxide hydration required an incubation time that
depended on the moisture concentration at the interface and the temperature. For example, the
incubation time varied from 3 min at 70ºC to 85 min at 40ºC for a bare FPL treated surface
94
subjected to water immersion [34]. The presence of water behind the crack tip might have
increased the moisture concentration just ahead of the crack tip beyond the critical level needed
to hydrate the oxide layer. This critical humidity level was found to be between 55-80% RH at
25ºC for cyclically loaded joints made from silane primed aluminum alloy bonded with epoxy
film [4]. In another study, Brewis et al. [35] found a critical moisture concentration in the
adhesive of 1.4% by quasi-static testing of aged single lap joints made from sandblasted
aluminum alloy bonded with an epoxide adhesive, and exposed to various humidities at 50ºC.
The present fatigue experiments showed a critical relative humidity at 40ºC of 100%,
corresponding to water condensation at the crack tip. Once a weak hydrate oxide layer was
formed by the condensed water (Fig. 4.17), the crack shifted to this weak oxide interface, leading
to a significant decrease in Gth.
At crack growth rates between the threshold and the linear Paris-law region, a distinct
horizontal inflection was observed in the crack growth rate curves of specimens tested at 100%
RH (Fig. 4.12). It was observed that this horizontal region of the curve corresponded to
interfacial failure, suggesting that the crack growth rate became independent of the applied G
once the crack path reached the interface. Michel et al. [36] observed a similar inflection in the
crack growth rate curve of several aluminum alloys tested in humid environments. They
explained that crack growth at such low applied G was solely due to fracture of the brittle oxide
layer at the crack tip, and not due to crack formation in the aluminum itself. Therefore, the crack
growth rate was proportional to the rate of formation of the oxide layer at the crack tip, which
depended on the environment and was independent of the applied G over a small range just
above the threshold (i.e. G over this range exceeded the critical value for the oxide film, but was
not high enough to cause crack growth in the alloy) [36]. It is believed that a similar mechanism
is responsible for the inflection in the present case for specimens tested at 100% RH (Fig. 4.12).
In the Paris law region, the crack path was near the interface but within the adhesive, so that
crack growth increment per cycle depended on the applied G. However, once the applied G was
low enough for the crack path to reach the interface, the crack growth rate was determined by the
rate at which the hydrated oxide layer formed ahead of the crack tip due to water diffusion. The
critical strain energy release rate for this hydrated oxide was smaller than the applied G over a
range just above the threshold, so that crack growth was independent of G, until it effectively
95
ceased at the threshold. When the applied G exceeded that of the inflection region, the crack
path moved out of the oxide layer and was governed by the fatigue properties of the adhesive.
(a)
(b)
Figure 4. 17 Negative ToF-SIMS spectra of the bare P2-etched aluminum and failure surface in
the mass/charge (m/z) ranges of (a) 0-200 m/z, and (b) 200-400 m/z. The failure surface was
from the P2-etch pretreated joint tested at 40C-100% RH in the threshold region on the thin
adherend side.
Fracture surface
P2-etched aluminum
Fracture surface
P2-etched aluminum
96
4.3.3 Combined effect of higher temperature and humidity
The combined effect of higher temperature and humidity is illustrated by comparing the
fatigue behavior of joints tested under hot-wet (40ºC and 100% RH) and room temperature dry
air (20ºC and <10% RH) environments. Figures 4.18 and 4.19 show that the Gth and crack
growth rate behavior measured in these environments with both P2-etched and coil coated (CC)
adherends was indistinguishable (t-test, 95% confidence). As was observed with P2-etch
pretreated joints, there was evidence of condensed water behind the crack tip leaving a dark grey
oxide layer on the failure surfaces of the CC pretreated joints in the hot-wet environment. This
grey region also showed hydrated aluminum oxides when analyzed using ToF-SIMS (Fig. 4.20).
The hot-wet environment affected the fatigue behavior in two ways: firstly, the fatigue
threshold was significantly decreased, and secondly, the crack growth curve shifted to the left,
indicating a higher crack speed in the hot-wet environment at a given Gmax. Both of these effects
can be explained from the understanding of the individual effects of temperature and humidity.
As was discussed earlier, at higher crack growth rates, moisture effects were negligible
because of the insufficient time for moisture to diffuse ahead of the crack tip. However,
increasing the temperature from 20ºC to 40ºC increased the size of the plastic zone which
increased the crack growth rate. Therefore, the increase in the crack speeds at higher G (higher
crack growth rates) was mainly due to the temperature increase. At lower crack growth rates, the
fatigue threshold was relatively insensitive to temperature (Fig. 4.3), and hence the poorer
fatigue behavior was due mostly to moisture condensing behind the crack tip at 100% RH and
weakening the interface.
97
Figure 4. 18 Effect of test environment on the Gth of ADCB joints made with P2-etch and CC
pretreatments. Number above each data point indicates the number of specimens tested in each
case, and error bars indicate the standard deviation in each case. Each specimen was used to
reach a single threshold.
0
40
80
120
160
200
240
RD Hot-wet
P2-etch CC
Gth
, J/m
2
3
3
33
98
Figure 4. 19 Effect of test environment on fatigue crack growth behavior of ADCB joints made
with P2-etch and CC pretreatments. Each data series represent a single specimen.
-7
-6
-5
-4
-3
-2
1.4 1.8 2.2 2.6 3
log(d
a/d
N),
mm
/cycle
log (Gmax), J/m2
P2-etch RD
P2-etch hot-wet
CC RD
CC hot-wet
99
(a)
(b)
Figure 4. 20 Negative ToF-SIMS spectra of the failure surface between (a) 0-200 m/z, and (b)
200-400 m/z. The failure surface was from the CC pretreated joint tested at 40C-100% RH in
the threshold region on the thin adherend side.
4.4 Conclusions
The temperature and humidity of the test environment were found to have a significant
effect on the mixed-mode fatigue behavior of aluminum adhesive joints. Under dry conditions,
there was little change in the fatigue threshold over the temperature range 20-80ºC, but the crack
growth rate in the Paris law region increased significantly with increasing temperature, and the
crack path tended to move away from the interface. These observations were consistent with the
growth of the crack-tip plastic zone with increasing temperature, as predicted using finite
100
element modeling. A larger plastic zone would lead to greater damage accumulation, resulting in
increased crack growth rates and residual adhesive thickness.
Fatigue behavior was insensitive to ambient moisture at higher crack growth rates, but
became sensitive to the moisture level as crack growth rates neared the threshold where the
speed of moisture diffusion ahead of crack tip was greater than the crack growth rate. In
particular at 100% RH, the crack growth rate became independent of the applied strain energy
release rate, G, for a small range of G just above the threshold. This inflection in the curve of
crack growth rate vs. G may have been caused by the crack growth increment per cycle being
limited to the thickness of the hydrated oxide film forming at the crack tip between loading
cycles. This is analogous to the mechanism that has been proposed for a similar inflection
reported in the fatigue of aluminum alloys. As the humidity in the test environment reached the
saturation level, moisture condensed behind the crack tip. It is believed that this increased water
diffusion to the point where it exceeded a critical moisture level needed to hydrate the oxide
layer ahead of the crack tip. This hydration may then have caused a shift in crack path to the
interface and a decrease in Gth.
Finally, the combined effects of elevated temperature and humidity were explained from
this understanding of the individual effects of temperature and humidity. At higher crack growth
rates, the joint fatigue performance degraded solely due to the increased temperature, whereas at
low crack growth rates, fatigue performance degraded predominantly because of the elevated
moisture. These effects of a hot-wet testing environment on fatigue behavior were found to be
similar for both a P2-etch pretreatment and a commercial coil-coat pretreatment.
The present work addressed the effect of the immediate testing environment on the
fatigue behavior of these adhesive joints. The degradation produced by long-term exposure to
hot-wet conditions can have additional effects on fatigue. This has been examined recently using
an open-faced adhesive joint to accelerate aging with this same adhesive system [37].
101
4.5 References
1. Ashcroft IA, Shaw SJ. Mode I fracture of epoxy bonded composite joints 2. Fatigue
loading. Int J Adhes Adhes 2002;22:151-67.
2. Harris JA, Fay PA. Fatigue life evaluation of structural adhesives for automotive
applications. Int J Adhes Adhes 1992;12:9-18.
3. Ashcroft IA; Hughes DJ; Shaw SJ, Abdel Wahab M, Crocombe A. Effect of Temperature
on the Quasi-static Strength and Fatigue Resistance of Bonded Composite Double Lap
Joints. J Adhes 2001;75:61-88.
4. Abel ML, Adams ANN, Kinloch AJ, Shaw SJ, Watts JF. The effects of surface
pretreatment on the cyclic-fatigue characteristics of bonded aluminium-alloy joints. Int J
Adhes Adhes 2006;26:50-61.
5. Curley AJ, Hadavinia H, Kinloch AJ, Taylor AC. Predicting the service-life of
adhesively-bonded joints. Int J Fract 2000;103:41-69.
6. Kinloch AJ, Little MSJ, Watts JF. The role of the interphase in the environmental failure
of adhesive joints. Acta Mater 2000;48:4543-53.
7. Fernando M, Harjoprayitno WW, Kinloch AJ. A fracture mechanics study of the
influence of moisture on the fatigue behaviour of adhesively bonded aluminium-alloy
joints. Int J Adhes Adhes 1996;16:113-119.
8. Datla NV, Papini M, Schroeder JA, Spelt JK. Modified DCB specimen for mixed-mode
fatigue testing of adhesively bonded thin sheets. Int J Adhes Adhes 2010;30:439-47.
9. Briskham P, Smith G. Cyclic stress durability testing of lap shear joints exposed to hot-
wet conditions. Int J Adhes Adhes 2000;20:33-38.
10. Chen NNS, Niem PIF, Lee RC. Fatigue Behaviour of Adhesive Bonded Joints. J Adhes
1987; 21:115-28.
11. Ritter JE, Lardner TJ, Grayeski W, Prakash GC, Lawrence J. Fatigue crack propagation at polymer
adhesive interfaces. J Adhes 1997; 63:265-84.
12. ASTM D2651, Standard guide for metal surfaces for adhesive bonding. West
Conshohocken (PA): ASTM International; 2001.
102
13. Azari S, Papini M, Schroeder JA, Spelt JK. The effect of mode ratio and bond interface
on the fatigue behavior of a highly-toughened epoxy. Eng Fract Mech 2010; 77:395-414.
14. Azari S, Papini M, Schroeder JA, Spelt JK. Fatigue threshold behavior of adhesive joints.
Int J Adhes Adhes 2010;30:145-59.
15. ASTM E104, Standard practice for maintaining constant relative humidity by means of
aqueous solutions. Philadelphia (PA): ASTM International; 1985.
16. Greenspan L. Humidity fixed points of binary saturated aqueous solutions. J. Research
National Bureau Standards A: Physics and Chemistry 1977; 81:89–96.
17. Ameli A, Papini M, Schroeder JA, Spelt JK. Fracture R-curve characterization of
toughened epoxy adhesives. Eng Fract Mech 2010;77:521-34.
18. ASTM E647, Standard test method for measurement of fatigue crack growth rates. West
Conshohocken (PA): ASTM International; 2000.
19. Aluminum standards and data, 2nd
edition, The Aluminium Association, Inc.,
Washington, DC (1982).
20. Li JX, Wen XY, Man CS, Zhai T. Fatigue of continuous cast AA5754 Al alloy sheet.
Mater Sci Eng 2007; 23:324-32.
21. Hutchinson JW, Suo Z. Mixed-mode cracking in layered materials. Adv Appl Mech
1992; 29:63-191.
22. Hwang JF, Manson JA, Hertzberg RW, Miller GA, Sperling LH, Fatigue crack
propagation of rubber-toughened epoxies, Polym Engng Sci 1989; 29:1477–1487.
23. Lang RW, Manson JA, Crack tip heating in short-fibre composites under fatigue loading
conditions, J Mater Sci 1987; 22:3576–3580.
24. Kinloch AJ, Shaw SJ. The fracture resistance of a toughened epoxy adhesive. J Adhes
1981;12:59-77.
25. Knot JF. Fundamentals of fracture mechanics. New York: John Wiley-Halsted Press;
1973.
26. Azari S, Papini M, Spelt JK. Effect of adhesive thickness on fatigue and fracture of
toughened epoxy joints-Part II. Analysis and finite element modeling. Eng Fract Mech
2011;78:138-52.
27. Suo Z, Hutchinson JW. Sandwich test specimens to measuring interface crack toughness.
Mater Sci Eng 1989; A107:135-43.
103
28. Kinloch AJ, Korenberg CF, Tan KT, Watts JF. Crack growth in structural adhesive joints
in aqueous environments. J Mater Sci 2007; 42:6353-70.
29. Kasul DB, Heldt LA. Embrittlement of B2 iron aluminide by water vapor and by
hydrogen. Metall Mater Trans A 1994; 25:1285-90.
30. Ameli A, Datla NV, Papini M, Spelt JK. Hygrothermal properties of highly toughened
epoxy adhesives. J Adhes 2010;86:698-725.
31. Crichton SN, Tomozawa M, Hyden JS, Suratwala TI, Campbell JH. Subcritical Crack
Growth in a Phosphate Laser Glass. J Am Ceram Soc 1999; 82:3097-104.
32. Venables JD. Adhesion and durability of metal-polymer bonds. J Mater Sci 1984;
19:2431-53.
33. Davis GD, Whisnant PL, Venables JD. Subadhesive hydration of aluminum adherends
and its detection by electrochemical impedance spectroscopy. J Adhes Sci Technol 1995;
9:433-42.
34. Davis GD, Krebs LA, Drzal T, Rich J, Askland P. Electrochemical sensors for
nondestructive evaluation of adhesive bonds. J Adhes 2000; 72:335-58.
35. Brewis DM, Comyn J, Raval AK, Kinloch AJ. The effect of humidity on the durability of
aluminium-epoxide joints. Int J Adhes Adhes 1990; 10:247-53.
36. Michel SA, Kieselbach R, Figliolino M. Environmental and frequency effects on fatigue
crack growth rate and paths in aluminium alloy. Fatig Fract Eng Mater Struct 2005;
28:205-14.
37. Datla NV, Ulicny J, Carlson B, Papini M, Spelt JK. Mixed-mode fatigue behavior of
degraded toughened epoxy adhesive joints. Int J Adhes Adhes 2011; 31:88–96.
104
Chapter 5 Mixed-mode fatigue behavior of degraded toughened epoxy
adhesive joints
5.1 Introduction
Moisture can degrade adhesive joints by damaging the adhesive-adherend interfacial
region or the adhesive itself. The effect of moisture on bulk epoxy adhesives depends on
whether the absorbed water molecules are in a free or bound state [1]. Free water molecules
plasticize and soften the adhesive, decreasing its glass transition temperature [2]; however, these
effects are reversible upon drying. Bound water molecules, on the other hand, introduce
irreversible damage to the adhesive by hydrolysis and chain scission [3]. Su et al. [4] studied the
fatigue degradation of steel double lap joints made from several different epoxy adhesives
subjected to different aging environments, and found that the adhesive that absorbed the most
moisture also degraded the most. Hence, it is important to characterize the moisture diffusion
behavior of an adhesive in order to understand its fatigue degradation behaviour.
The fatigue behaviour of fresh (undegraded) adhesive joints has been studied extensively
in ambient test environments [5,6] and aggressive test environments [7-9]; however, the fatigue
performance of aged adhesive joints is not well understood. Ferreira et al. [10] found that
increasing the temperature of the aging environment decreased the fatigue life of composite
adhesive lap joints, and related this behaviour to the increased creep deformation with
temperature. Lubke et al. [11] found that the fatigue behavior of epoxy-aluminum DCB joints
degraded more in a high-humidity aging environment than in a natural outdoor environment;
however, only mode I loading was considered. In contrast, Su et al. [4] found that the fatigue
life of epoxy-steel double lap joints was more or less the same in both outdoor and high-humidity
environments. In all these tests, the closed adhesive joints were first aged for relatively long
periods and then fatigue tested in an ambient environment.
Closed joints are usually used in degradation studies, although they take a long time to
degrade due to the length of the diffusion paths, and the degradation is non-uniform across the
joint area. This non-uniform degradation makes it difficult to associate a loss of joint strength
105
with a particular level of degradation. These limitations can be overcome using open-faced
specimens that reduce the length of diffusion path to the thickness of the adhesive layer, thus
producing a relatively uniform state of moisture concentration and degradation in a relatively
short period of time. Open-faced specimens have previously been used to study degradation
under quasi-static loading [12-16], and the present study extends their application to cyclic
loading.
This paper investigates the effect of the aging environment on the mixed-mode fatigue
behavior of open-faced joints made with aluminum alloy adherends and a highly-toughened
epoxy adhesive. The experiments illustrate the effects of aging time and temperature on both the
fatigue threshold and crack growth rates (CGR). The experiments also compare the durability of
joints aged in constant humidity and cyclic environments.
5.2 Experiments
5.2.1 Specimen preparation
Both open-faced and closed asymmetric double cantilever beam (ADCB) specimens were
made using a proprietary DGEBA-based, heat-cured, rubber-toughened structural epoxy
adhesive and AA5754-O aluminum sheet with a commercial coil-coated pretreatment. Since this
pretreatment could not be reliably reproduced on thicker bars, fatigue test specimens were made
with 2 mm thick sheets that had been commercially pretreated. To avoid yielding of these
relatively thin sheets while applying a wide range of strain energy release rates, G, the
reinforcement technique discussed in ref. [17] was used; i.e. the sheet was stiffened by bonding it
to an AA6061 aluminum bar using a “reinforcing” layer of adhesive.
Open-faced specimens
The fatigue behavior was studied in various environments using open-faced ADCB
specimens. On one side of the sheet, a 0.4 mm thick “primary” layer of adhesive was cast using
a backing plate coated with polytetrafluroethylene release agent, while the other side of the sheet
was reinforced by attaching it to a 12.7 mm thick P2-etched aluminum AA6061 bar using a 0.4
mm thick reinforcing layer of adhesive (Fig. 5.1). Since under mixed-mode loading the crack
path is close to the more highly-strained adherend [18], the reinforced pretreated sheet was used
106
only as one of the adherends and the other adherend was made from a thicker aluminum bar.
The desired bond-line thickness was achieved by placing 0.4 mm size piano wires in both the
primary and reinforcing adhesive layers. Since both the primary and reinforcing layers utilized
the same adhesive, both layers could be cured in a single step using the cure profile recommend
by the manufacturer; i.e., at least 30 min at 180ºC. The assembly was clamped using large
binder clips (25.4 mm wide by 50.8 mm long, from ACCO brands) that were centered directly
above the spacing wires in both adhesive layers to avoid an uneven bondline thickness. After
curing, the backing plate was removed and the open-faced specimens (Fig. 5.1) were exposed to
various environments for a range of times, as shown in Tables 5.1 and 5.2.
The present experiments focused on the effects of irreversible degradation by drying the
aged specimens in a vacuum oven containing anhydrous calcium sulphate at 40ºC for
approximately 7 days. This eliminated reversible effects such as plasticization by water
molecules [13]. After drying, the complete ADCB specimen (Fig. 5.2) was made by bonding the
primary adhesive layer of the open-faced specimen to a 25.4 mm thick P2-etched aluminum
AA6061 bar using a 0.25 mm thick “secondary” layer of adhesive (the P2 etch uses sulphuric
acid as described in [19]). The bondline thickness of the secondary layer was achieved by
placing 0.65 mm diameter (sum of primary and secondary layer thicknesses) piano wires
between the sheet and the second adherend in locations without adhesive. In order to improve
the bonding between the primary and secondary adhesive layers, the degraded primary layer was
sanded lightly with a 100 grit sand paper, wiped with acetone and then dried prior to the
application of the secondary adhesive. After the secondary cure, the excess adhesive on the sides
of the specimen was removed using a belt sander with a 120 grit sand paper and water as a
coolant, followed by hand sanding with a 600 grit sand paper. A thin layer of white paper
correction fluid diluted with hexane was then applied to enhance the observation of the crack tip
during the fatigue testing.
107
Figure 5. 1 Open-faced specimen used for aging. The arrows indicate the direction of moisture
diffusion into the primary adhesive layer.
Table 5. 1 Stages of the cyclic aging environment. Salt spray was applied in the ambient stage
four times for 30 s each.
Aging Stage Temperature and Humidity Elapsed Time (h)
Ambient stage 25±3ºC, 45±10% RH 0-8
Humid stage 49±2ºC, 100% RH 8-16
Dry stage 60±2ºC, <30% RH 16-24
Table 5. 2 SDF model parameters of the adhesive for both humid environments studied. Each
data point is the average of three repetitions, where SD indicates the standard deviation.
Environment H2O content
(g/m3)
Absorption Desorption
D1±SD
(10-14
m2/s)
D2±SD
(10-14
m2/s)
M1∞±SD
(%)
M∞±SD
(%)
td1/2
(s1/2
)
Mr
(%)
40ºC and
95% RH 48.0 134±17 3.9±0.7 3.34±0.09 4.78±0.15 532 1.40
60ºC and
95% RH 121.7 314±25 8.9±0.9 3.68±0.11 6.98±0.18 315 1.72
Closed specimens
To investigate whether the presence of the secondary adhesive layer had any effect on the
fatigue behavior of the adhesive primary layer, fatigue tests were also carried out on closed
108
ADCB specimens made with a single 0.4 mm thick layer of adhesive between the sheet and
second adherend. This choice of bondline thickness was made following the work of Ameli et
al. [16], who found that the fracture toughness of double-layer joints depended on the thickness
of the primary layer of adhesive, but not on the combined thickness of the primary and secondary
layers. Therefore, the thickness of the adhesive layer in these closed specimens was chosen to be
equal to the thickness of the primary layer in the open-faced specimens. The configuration of
these closed specimens was the same as the open-faced specimens (Fig. 5.2), except for the
absence of the secondary adhesive layer.
Figure 5. 2 Configuration of open-faced reinforced ADCB specimen after being closed
(dimensions in mm, not to scale). The thickness of primary, secondary, and reinforcing adhesive
layers are 0.4, 0.25, and 0.4 mm, respectively, and the thickness of the sheet is 2 mm. Width of
the specimen was 19 mm. The location of the clip gauge is also shown. The upper adherend is
the open-faced adherend shown in Fig. 5.1.
5.2.2 Aging conditions
Open-faced specimens were exposed to either a constant or cyclic humidity environment.
Two different constant humidity environments were used: one at 40ºC and other at 60ºC, both at
95% relative humidity (RH). A constant RH was achieved by placing the specimens in air-tight
plastic containers that contained a saturated salt solution of K2SO4. To maintain a constant
temperature, the containers were placed in temperature controlled ovens.
109
For the cyclic environment, the conditions were varied between the ambient, humid, and
dry stages in a daily cycle as shown in Table 5.1. During the ambient temperature stage, the
specimens were exposed to a salt spray (salt fog) four times for 30 s each, as described in ref.
[20]. The salt solution used in the salt fog was composed of 0.9% NaCl, 0.1% CaCl2, and
0.075% NaHCO3 (percentages by weight).
5.2.3 Gravimetric measurements
The moisture uptake of the adhesive was characterized using gravimetric measurements
of two sets of three adhesive wafers (30×30×0.4 mm) immersed in either salt water or deionised
water. To ensure an initially dry state, the samples were kept in a vacuum oven at 40ºC for 7
days prior to immersion. The mass uptake was measured by weighing the wafers at fixed time
intervals, after removing them from the liquids and drying them with clean tissue paper.
5.2.4 Fatigue tests
Fatigue testing was performed with a servo-hydraulic load frame under displacement
control using a sinusoidal waveform at a frequency of 20 Hz. A constant displacement ratio (i.e.
ratio of minimum to maximum displacement, δmin/δmax) of 0.1 was used. The testing began with
the application of the highest strain energy release rate, G, which then decreased as the crack
grew under constant displacement until the threshold crack growth rate of 10-6
mm/cycle was
reached at the threshold strain energy release rate, Gth. The joints were enclosed in a chamber
containing desiccant to maintain a room temperature dry environment (<10% RH) while testing.
Crack length measurements
The crack length was measured using both optical and specimen compliance methods.
Optical measurements were performed using a CCD camera mounted on a motorized linear
stage. A telescopic lens attached to the camera allowed a field of view of 2 mm. To obtain clear
photographs of the crack tip, load cycling was stopped and held at the mean load for 15 s every
9,000 cycles. The specimen compliance was obtained from the relationship between the crack
opening and the applied force during the unloading portion of the loading cycle. A clip gauge
(model 3541, Epsilon Technology Corp., Jackson, WY, USA) recorded the opening
110
displacement at the loading pins (Fig. 5.2). For each specimen, a polynomial relationship
between the optically observed crack length and the specimen compliance was established
according to ASTM E647 [21]. Using this relationship, the crack length was inferred from the
continuous clip gauge compliance data, and used in all calculations of crack growth rate and G.
Strain energy release rate calculations
A beam-on-elastic-foundation model for unequal adherends was used to calculate G and
phase angle, Ψ (defined as III GGarctan , where GI and GII are the mode I and mode II
strain energy release rates, respectively), from the measured force and crack length [17]. The
average phase angle calculated using the model was 14° for the ADCB specimen, with only a
negligible change occurring as the crack grew. For example, Ψ increased by only 2° for an
increase in crack length from 40 to 120 mm [17]. The phase angle in the closed open-faced
joints was essentially the same as that in the closed joints that were made for comparison without
the secondary adhesive (difference of less than 0.5°).
5.2.5 Measurement of residual adhesive thickness
To define the crack path, the thickness of the residual adhesive on some of the fracture
surfaces was measured at various crack lengths on the more highly-strained adherend. The
elevation datum corresponding to the steel interface was established by removing residual
adhesive from a narrow region on both sides of the joint width using a solvent (mixture of
methylene chloride and methyl alcohol; Glue Buster, Kosmic Surf-Pro Inc., Saint Amable,
Quebec). An optical profilometer (NANOVEA ST400, Micro Photonics Inc. CA, USA) was
used to make a line scan across the width of the joint with both ends on the datum regions,
thereby giving the thickness of the residual adhesive layer.
5.3 Results and discussion
5.3.1 Moisture diffusion
For constant humidity environments, the water absorption of the present adhesive was
previously found to be non-Fickian, with a pseudo-equilibrium state at intermediate exposure
times before reaching a final saturation state [22]. The water desorption, however, was found to
111
follow a simple Fickian trend [22]. The diffusion coefficient of the first stage and the saturated
were both functions of temperature. Desorption studies showed that even after prolonged drying
the adhesive retained a significant amount of water, and that the amount of retained water was
proportional to the fractional mass uptake at the end of the second stage. This absorption and
desorption behavior was characterized using a sequential dual Fickian (SDF) model [22], which
is described in Appendix 1.
Figure 5.3 shows the measured moisture mass uptake and the fitted SDF model versus the
square root of time for the adhesive wafers immersed in salt water and deionised water. Table
5.3 lists the SDF model parameters of the adhesive under both immersion conditions. At room
temperature, the second diffusion mechanism was absent and the moisture uptake followed a
simple Fickian behavior where both the second stage diffusion coefficient, D2, and fractional
mass uptake, M2, were equal to zero. Furthermore, insignificant differences in the fractional mass
uptake M1∞, and diffusion coefficient D1, of the first stage were observed between both
immersion environments (t-test, 95% confidence interval), indicating that the salt did not affect
the moisture diffusion behavior at room temperature.
At 40ºC the moisture uptake followed a non-Fickian behavior, as also seen in [22]. The
first stage of diffusion was similar for both immersion conditions (insignificant difference in M1∞
and D1, t-test 95% confidence), whereas in the second stage the saturated mass uptake was
significantly lower for the samples that were immersed in salt water than for those immersed in
deionised water. This is consistent with previous work which demonstrated that increases in the
concentration of the NaCl in a salt solution decreases the saturated water mass uptake into an
adhesive due to osmosis [23,24]. Since the effect of the salt was observed only in the second
stage of diffusion, this implies that the osmotic effects were predominant only during the second
stage. Furthermore, using the same adhesive used in this study, Ameli et al. [22] showed that the
diffusion mechanism in the first stage is governed by chemical interaction between the water
molecules and the epoxy matrix, whereas the diffusion mechanism in the second stage is
governed by relatively mobile water molecules in the adhesive. Therefore, it can be concluded
that the salt water environment produces an osmotic pressure that does not affect the chemical
interactions of the water molecules with the adhesive, but affects the diffusion kinetics of the
mobile water molecules in the epoxy during the second stage of absorption.
112
(a)
(b)
Figure 5. 3 Measured fractional mass uptake versus square root of time and the least-squares fits
based on SDF model (Appendix) when immersed in salt water and deionised water at (a) room
temperature and (b) 40ºC. Each data point is an average of three repetitions. The standard
deviation in each case was approximately 2%.
0
1
2
3
4
5
0 500 1000 1500 2000 2500
Mt(%
)
t1/2 (s1/2)
Salt water
Deionised water
0
1
2
3
4
5
6
7
8
9
0 500 1000 1500 2000 2500
Mt(%
)
t1/2 (s1/2)
Salt water
Desionised water
113
Table 5. 3 SDF model parameters of the adhesive immersed in salt water and deionised water.
Each data point is the average of three repetitions, where SD indicates the standard deviation.
Temperature Solution D1±SD
(10-14
m2/s)
D2±SD
(10-14
m2/s)
M1∞±SD
(%)
M∞±SD
(%)
td1/2
(s1/2
)
20ºC Salt water 37.6±5 - 3.64±0.1 3.64±0.1 ∞
Deionised water 30.72 - 3.53±0.1 3.53±0.1 ∞
40ºC Salt water 150±11 16.66±5 4.22±0.2 6.26±0.1 580
Deionised water 136±30 16.45±4 4.06±0.1 5.46±0.1 580
5.3.2 Fresh open-faced specimens
To provide a baseline to which the effect of degradation can be compared, fatigue tests
were conducted on fresh open-faced specimens. For these specimens, the secondary layer of
adhesive of 0.25 mm thickness was applied and cured immediately after the primary layer was
cured. The measured fatigue threshold strain energy release rate, Gth, of these joints was 125±9
J/m2 (± standard deviation, 3 threshold measurements with each threshold from a single
specimen).
The primary difference between an open-faced joint that has been closed to form an
ADCB and a conventional closed joint is the presence of the secondary adhesive layer. This will
increase the local compliance slightly and introduce a second cure cycle to the primary adhesive
layer. To investigate these effects, the fatigue behavior of fresh open-faced joints was compared
to that of the conventional closed joints that were prepared with a 0.4 mm thick single layer of
adhesive. Figure 5.4 shows that the average Gth of the open-faced specimens was 9% lower than
that of the closed joints, but this difference was considered small although the t-test showed that
the difference was statistically significant at the 95% confidence level. Furthermore, Fig. 5.5
shows that the crack growth rate curves of both the closed and open-faced joints overlap,
indicating a similar fatigue crack growth behavior. In all tests using the ADCBs made from the
open-faced joints, the fatigue crack path was within the primary adhesive layer. Hence, it was
concluded that the presence of the secondary adhesive layer and the second cure cycle had an
insignificant effect on the fatigue behavior of the primary adhesive layer. This is consistent with
114
the fracture test results of Ameli et al. [16], who showed an insignificant effect of a second cure
cycle on the quasi-static critical strain energy release rate of conventional closed DCB joints
prepared with the same adhesive used in the present study.
Figure 5. 4 Measured Gth of fresh closed and open-faced joints tested in a room temperature and
dry air environment. The 3 test repetitions are shown in each case, with Gth for each specimen
shown above the columns.
117133
123141135
151
0
50
100
150
200
Open-faced Closed
Gth
, J/m
2
115
Figure 5. 5 The measured fatigue crack growth rate curves of unaged closed and unaged open-
faced joints tested in a room temperature and dry air environment.
5.3.3 Aging of joints in constant humidity environments
5.3.3.1 Effect of aging time and temperature on Gth
Figure 5.6 shows the variation of Gth with aging time for 95% RH at 40ºC and 60ºC, and
the average Gth of unaged open-faced joints. The curves are the least-squares power function fits
at each temperature. Two stages of degradation were observed in each environment. In the first
stage, the threshold for the joints aged at 60ºC decreased by 65% (125±9 to 43±6) and by a lesser
amount, 54% (125±9 to 58±4) for the joints aged at 40ºC. In the second stage, Gth remained
constant at a low value with further aging. Increasing aging temperature also increased the rate
at which the joints degraded and decreased the time to the onset of the second stage; i.e.
approximately after two weeks at 60ºC and after one month at 40ºC.
The quasi-static fracture toughness of the adhesive used in this study was found
previously to degrade in three stages [12]. Although these results were established with a
different pretreatment, since the crack path was cohesive in both the present study and that of ref.
-7
-6
-5
-4
-3
-2
1.8 2.2 2.6 3
Lo
g(d
a/d
N),
mm
/cycle
Log(Gmax), J/m2
Closed #1
Closed #2
Open face #1
Open face #2
Open face #3
116
[12], the effect of pretreatment should be negligible. In the quasi-static fracture study of ref.
[12], the first two stages of degradation were similar to those described above, but during the
third stage, after very long aging times, the critical quasi-static fracture toughness decreased
further. In the present study, it was not possible to determine whether a third stage of
degradation might exist for specimens aged over 6 months at 60ºC and 95% RH, because fatigue
cracks grew in the reinforcing adhesive layer rather than in the primary adhesive layer for these
long exposure times. This occurred because moisture diffused into the reinforcing layer from the
exposed sides of the open-faced joint, reaching moisture concentrations of 3.8% at centre and
6.98% at the edges of the reinforcing layer. This absorbed moisture was not completely
desorbed while drying the primary adhesive layer, and probably caused damaging internal
stresses to develop during the secondary cure cycle. Hence, the reinforcing layer was weaker
than the primary layer. This limitation could have been avoided by applying an additional sealant
to the sides of the open-faced specimens.
Figure 5. 6 Fatigue threshold vs. aging time for specimens aged under 40ºC-95% RH and
60ºC-95% RH environments. Trend lines show the exponential regression lines fit to the data.
Numbers next to each data point indicate the number of thresholds reached and the number of
y = 188.96x-0.292
R² = 0.8849
y = 90.93x-0.175
R² = 0.93260
25
50
75
100
125
150
0 30 60 90 120 150
Gth
, J/m
2
Aging time, days
40ºC, 95% RH
60ºC, 95% RH
1,12,2
2,2
2,1
1,1
3,3
4,3
3,3
3,3
117
specimens tested, respectively; these two numbers are different cases where a single specimen
was used to reach two thresholds. Error bars represent the range of the measurements.
5.3.3.2 Effect of aging time and temperature on crack growth behavior
Figure 5.7 shows the scatter in the crack growth rate curves of specimens aged for two
months at 40ºC and 60ºC. It can be seen that the scatter is comparable in both degraded and
fresh specimens (Fig. 5.5). Figure 5.8 shows the variation in the crack growth rate curves with
aging time at 40ºC and 60ºC, respectively. At shorter aging times (up to one month at 40ºC and
one week at 60ºC), insignificant differences were observed between the crack growth rate curves
of fresh and aged joints. However, as the aging time increased, the crack growth rates at a given
applied Gmax increased (i.e. the curves for the aged joints began to shift upward). This happened
sooner and to a large extent at 60ºC than at 40ºC, reflecting the accelerating effect of temperature
on fatigue degradation. This is illustrated further in Fig. 5.9, which shows that the differences in
the crack growth rates at the two aging temperatures were insignificant after the first week of
aging, and grew after that. For example, at an applied Gmax of 250 J/m2, the crack speeds were
0.4, 5.8, 8.5 and 7.9 times greater at 60ºC than at 40ºC for aging times of one week, two weeks,
one month and two months, respectively.
The threshold and crack growth rate behaviors were affected differently by degradation.
At 60ºC, Gth decreased to a saturated level after two weeks of aging, whereas the fatigue crack
growth rate continued to increase until after 4 months of aging. It is hypothesized that the
fatigue failure mechanisms near the threshold are different from those at higher crack growth
rates. Indeed, using a rubber toughened epoxy adhesive, Azimi et al. [25] showed that adhesive
toughening mechanisms were absent at crack growth rates close to the threshold, and that the
fatigue behavior was similar to an unmodified epoxy. Hence, it is likely that the continuing
increase in the crack growth rate with aging time was related to the loss of the toughening
mechanisms from the rubber particles, and the decrease in Gth was related to the degradation of
the epoxy matrix.
118
Figure 5. 7 Repetitions of the measured fatigue crack growth rate curves of specimens aged for
60 days at 40°C–95% RH and 60°C–95% RH. Two specimens aged at each condition.
(a)
-7
-6
-5
-4
-3
-2
1.4 1.8 2.2 2.6 3
Lo
g(d
a/d
N),
mm
/cycle
Log(Gmax), J/m2
60ºC-95%RH #1
60ºC-95%RH #2
40ºC-95%RH #1
40ºC-95%RH #2
-7
-6
-5
-4
-3
-2
1.4 1.8 2.2 2.6 3
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
Fresh
7 days
14 days
28 days
60 days
119
(b)
Figure 5. 8 Measured fatigue crack growth rate curves of specimens aged at (a) 40°C–95% RH
and (b) 60°C–95% RH. Aging time in days is given in the legend.
-7
-6
-5
-4
-3
-2
1.4 1.8 2.2 2.6 3
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
Fresh
7 days
14 days
28 days
60 days
132 days
120
(a)
(b)
-6
-5
-4
-3
-2
1.4 1.8 2.2 2.6 3
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
1 week
Fresh
40ºC - 95% RH
60ºC - 95% RH
-6
-5
-4
-3
-2
1.4 1.8 2.2 2.6 3
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
2 weeks
Fresh
40ºC - 95% RH
60ºC - 95% RH
121
(c)
(d)
Figure 5. 9 Effect of aging temperature on the crack growth rate curves for specimens aged for
(a) 1 week, (b) 2 weeks, (c) 1 month, and (d) 2 months. Each line is the least-squares fit to the
linear Paris region of the crack growth curves shown in Fig. 5.8.
-6
-5
-4
-3
-2
1.4 1.8 2.2 2.6 3
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
1 month
Fresh
40ºC - 95% RH
60ºC - 95% RH
-6
-5
-4
-3
-2
1.4 1.8 2.2 2.6 3
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
2 months
Fresh
40ºC - 95% RH
60ºC - 95% RH
122
5.3.3.3 Effect of aging time and temperature on crack path
Figure 5.10 shows that the crack paths in both the unaged and aged joints were cohesive
at all crack growth rates. Furthermore, the thickness of the residual adhesive on the more highly-
strained open-faced adherend decreased with decreasing crack growth rate (decreasing Gmax) in
all specimens (Fig. 5.11). In [17], a similar trend was explained in terms of the decreasing size
of the plastic zone at the tip of the crack as the applied G decreased. Assuming that the average
crack path tends toward the centre of the plastic zone, the residual adhesive thickness will also
decrease as the applied G decreases and the crack slows. Related to this argument, Fig. 5.11 also
shows that at a relatively high crack growth rates, the thickness of the residual adhesive
decreased with aging due to the lower associated G levels and the resulting smaller crack tip
plastic zones. The residual adhesive thickness in the threshold region did not change appreciably
with aging time.
Figure 5. 10 Fracture surfaces on the more highly-strained (reinforced) adherend for: (a) unaged
joint, (b) 2 weeks aged at 60ºC – 95% RH, and (c) 4 months aged at 60ºC – 95% RH.
123
Figure 5. 11 Thickness of the residual adhesive on the fracture surface of the more highly-
strained adherend as a function of crack growth rate for a fresh joint and a joint aged for four
months at 60ºC – 95% RH.
5.3.4 Aging of joints in cyclic environment
Figures 5.12 and 5.13 show the Gth and crack growth rate curves of open-faced joints
aged in the cyclic environment for two and four weeks, respectively. Statistically insignificant
differences were observed in Gth and the slope of the linear Paris regions of the fresh and aged
joints (t-test, 95% confidence), indicating that the joints were undegraded even after four weeks
of aging in the cyclic environment. In contrast, Figs. 5.6 and 5.8 show that, for the same aging
time, the joints degraded significantly in the constant humidity environments. For example, after
4 weeks of aging, Gth of the joints aged in the constant humidity environment decreased by 62%
(from 125±10 to 47 J/m2) at 60ºC – 95% RH and by 42% (from 125±10 to 72±4 J/m
2) at 40ºC –
95% RH, whereas Gth of the joints aged in the cyclic humidity environment increased slightly by
3% (from 125±9 to 128±11 J/m2). It was therefore hypothesized that the moisture concentration
in the specimens aged in the cyclic environment was below that in the specimens aged in the
0
20
40
60
80
-7 -6 -5 -4 -3 -2 -1
Th
ickne
ss, µ
m
Log(da/dN), mm/cycle
Fresh
4 months
124
constant humidity environments. To investigate this hypothesis, a two-dimensional finite
element model was used to estimate the moisture concentration in the adhesive for specimens
aged in the cyclic environment.
The cross-section (0.4×18 mm) of the adhesive layer was modeled using a total of 192 4-
node thermal PLANE55 elements (ANSYS 12.0, Canonsburg, PA, USA), used with a thermal –
diffusion analogy. The top surface and the sides of the adhesive were assumed to be at the
saturated moisture concentration, and moisture transfer was prevented on the bottom surface. To
simplify the model, water diffusion was approximated using Fick’s law rather than the more
accurate dual-Fickian mode. Table 5.4 shows the adhesive diffusion parameters that were used
for the different stages of the cyclic aging environment of Table 5.1. These diffusion parameters
were taken to be those measured in [22], for the same adhesive used in the present study. Mesh
refinement did not change the moisture concentration at the adhesive-adherend interface by more
than 0.1%.
Figure 5.14 shows the finite element model predictions of the moisture concentration
versus aging time at the adhesive-adherend interface, which is the locus of failure in the
threshold region. It can be seen that the moisture concentration at this interface reached a cyclic
equilibrium, varying between 2.2% and 4.3% after the third day of aging. These concentrations
were significantly below the saturated moisture concentrations of 4.8% and 7.0% at 40ºC and
60ºC aging environments, respectively. Moreover, these levels of water uptake would not
increase with longer exposure to the cyclic environment since drying and absorption reached a
cyclic equilibrium. This explains why the fatigue behavior of the joints aged in the cyclic
environment would be superior to that of joints aged in the constant humidity environments.
Moreover, the intermittent salt spray application did not appear to accelerate the degradation
process, probably because of the decreased saturated moisture concentration in the adhesive in
the presence of the salt solution. Finally, the thermal cycling aspect of this accelerated aging test
did not seem to produce any measureable effect.
125
Figure 5. 12 Fatigue threshold versus aging time for open-faced specimens aged in the cyclic
environment. Numbers next to each data point indicate the number of thresholds reached and the
number of specimens tested, respectively; these two numbers are different cases where a single
specimen was used to reach two thresholds. The error bars show ± 1 standard deviation.
0
40
80
120
160
0 7 14 21 28 35
Gth
(J/m
2)
Aging time (days)
3,23,3
3,3
126
Figure 5. 13 Crack growth rates versus applied Gmax for specimens aged in the cyclic
environment. Three specimens at each aging condition.
Table 5. 4 Moisture diffusion parameters of the adhesive used in the finite element model. Data
is from [17].
Aging Stage D (10-14
m2/s) M∞ (%)
Ambient stage 45 1.78
Humid stage 207 6.67
Dry stage 271 1.62
-7
-6
-5
-4
-3
-2
2 2.4 2.8 3.2
Lo
g(d
a/d
N),
mm
/cycle
Log(Gmax), J/m2
Fresh
14 days #1
14 days #2
14 days #3
28 days #1
28 days #2
28 days #3
127
Table 5. 5 Moisture concentration (mass of water per unit mass of adhesive) profile at the
adherend-adhesive interface of the open-faced specimen exposed to the cyclic environment.
5.4 Conclusions
The mixed-mode fatigue behavior of degraded toughened epoxy-aluminum adhesive
joints was studied using open-faced ADCB specimens. Both constant humidity environments
and cyclic environments were studied. In constant humidity environments, the fatigue threshold
and crack growth rate behavior were affected differently. The fatigue threshold strain energy
release rate, Gth, decreased from an undegraded value to a constant minimum value that did not
change even after prolonged aging. In contrast, the crack growth rates continued to increase with
aging time, showing no tendency to reach a limiting value. It was hypothesized that the
continuing increase in the crack growth rate with aging time was related to the loss of the rubber
toughening mechanism, and that the decrease in Gth was related to the degradation of the epoxy
matrix. Increasing the aging temperature accelerated the rate at which Gth decreased from its
initial value. The crack paths remained cohesive in the adhesive layer in all of the experiments,
with the residual adhesive thickness on the more highly-strained adherend decreasing as the
crack growth rate (or applied G) decreased.
0
1
2
3
4
5
0 5 10 15
C(%
)
Aging time (days)
128
For joints aged in the cyclically changing environment with intermittent salt spray,
neither Gth nor the crack growth rates degraded until after four weeks of aging. The superior
fatigue performance of these joints compared to joints aged in constant humidity environments
was due to the lower equilibrium water concentrations in the adhesive, which were modeled
using the finite element method. This was supported by moisture uptake measurements of the
adhesive in deionised and salt water environments which showed that the diffusion was simple
Fickian at room temperature and dual-Fickian at the higher temperatures. The salt spray
produced an osmotic pressure that affected the diffusion kinetics of the mobile water molecules
in the epoxy during absorption.
129
Appendix 5A Moisture diffusion
The sequential dual Fickian (SDF) model was used to determine the moisture
concentration at any time, t, and distance, x, from the boundary by [17]:
22
22
2
0
12
22
1
0
2
)12(cos
4
)()12(exp
12
)1(41)(
2
)12(cos
4
)12(exp
12
)1(41),(
Ch
xn
h
ttnD
ntt
Ch
xn
h
tnD
ntxC
d
n
n
d
n
n
(A.1)
where C1∞ and C2∞ are the saturated concentrations of the first and second diffusion mechanisms
such that C1∞+C2∞=C∞, where C∞ is the total saturation concentration. D1 and D2 are the
diffusion coefficients of the first and second moisture uptake mechanisms, respectively. td is the
time at which the transition from the first diffusion mechanism to the second one occurs, and
Φ(t) is the Heaviside step function which is equal to zero for negative values and equal to one for
positive values.
Integrating Eq. (A.1) over the spatial variable, the fractional mass uptake, Mt for the SDF
model at any time t is given by:
22
222
022
12
221
022
4
)()12(exp
)12(
181)(
4
)12(exp
)12(
181
Mh
ttnD
ntt
Mh
tnD
nM
d
n
d
n
t
(A.2)
where M1∞ and M2∞ correspond to the first and second uptakes, respectively and M1∞+M2∞=M∞.
The fractional mass uptake at any time t, Mt was determined experimentally using gravimetric
measurements according to:
%100
i
itt
W
WWM
(A.3)
130
where Wi and Wt are the sample weights before any exposure and after an exposure time of t,
respectively. The model has 5 parameters: D1, D2, C1∞, C2∞ and td. Further details on calculating
the model parameters are given in ref. [17].
131
5.5 References
1. G. LaPlante, A.V. Ouriadov, P. Lee-Sullivan, B.J. Balcom, Anomalous moisture
diffusion in an epoxy adhesive detected by magnetic resonance imaging, J. Appl. Polym.
Sci. 109 (2008) 1350-1359.
2. K.F. Lin, R.J. Yeh, Moisture absorption behavior of rubber-modified epoxy resins, J.
Appl. Polym. Sci. 86(2002) 3718–3724.
3. G. Xian, V.M. Karbhari, DMTA based investigation of hygrothermal ageing of an epoxy
system used in rehabilitation, J. Appl. Polym. Sci. 104 (2007) 1084–1094.
4. N. Su, R.I. Mackie, W.J. Harvey, The effects of aging and environment on the fatigue life
of adhesive joints, Int. J. Adhes. Adhes. 12 (1992) 85-93.
5. W.S. Johnson, S. Mall, A fracture mechanics approach for designing adhesively bonded
joints, in: W.S. Johnson (Ed.), Delamination and Debonding of Materials, ASTM STP
876, American Society for Testing and Materials, 1985, pp. 189-199.
6. S. Mall, W.S. Johnson, Characterization of mode I and mixed-mode failure of adhesive
bonds between composite adherends, in: J.M. Whitney (Ed.), Composite materials:
testing and design, ASTM STP 893, American Society for Testing and Materials, 1986,
pp. 322–34.
7. J.A. Harris, P.A. Fay, Fatigue life evaluation of structural adhesives for automotive
applications, Int J Adhes. Adhes., 12 (1992) 9-18.
8. M. Fernando, W.W. Harjoprayitno, A.J. Kinloch, A fracture mechanics study of the
influence of moisture on the fatigue behaviour of adhesively bonded aluminium-alloy
joints, Int. J. Adhes. Adhes., 16 (1996) 113-119.
9. P. Briskham, G. Smith, Cyclic stress durability testing of lap shear joints exposed to hot-
wet conditions, Int. J. Adhes. Adhes., 20 (2000) 33-38.
10. J.A.M. Ferreira, P.N. Reis, J.D.M. Costa, M.O.W. Richardson, Fatigue behaviour of
composite adhesive lap joints, Compos. Sci. Technol., 62 (2002) 1373-1379.
11. K.A. Lubke, L.M. Butkus, W.S. Johnson, Effect of environment on fracture toughness
and debond growth of aluminum/FM®73/boron-epoxy adhesively bonded joints, J.
Compos. Technol. Res. 23 (2001) 42–49.
12. A. Ameli, M. Papini, J.K. Spelt, Fracture R-curve of a toughened epoxy adhesive as a
function of irreversible degradation, Mater. Sci. Eng. A 527 (2010) 5105-5114.
13. J.W. Wylde, J.K. Spelt, Measurement of adhesive joint fracture properties as a function
of environmental degradation, Int. J. Adhes. Adhes. 17 (1998) 237-246.
14. A. Moidu, A.N. Sinclair, J.K. Spelt, Adhesive joint durability assessed using open-faced
peel specimens, J. Adhes. 65 (1998) 239-257.
15. W.K. Loh, A.D. Crocombe, M.M. Abdel Wahab, I.A. Ashcroft, Environmental
degradation of the interfacial fracture energy in an adhesively bonded joint, Eng. Frac.
Mech. 69 (2002) 2113–2128.
132
16. A. Ameli, M. Papini, J.K. Spelt, Hygrothermal degradation of two rubber-toughened
epoxy adhesives: Application of open-faced fracture tests, Int. J. Adhes. Adhes.
(submitted).
17. N.V. Datla, M. Papini, J.A. Schroeder, J.K. Spelt, Modified DCB and CLS specimens for
mixed-mode fatigue testing of adhesively bonded thin sheets, Int. J. Adhes. Adhes. 30
(2010) 439-447.
18. J.W. Hutchinson, Z. Suo, Mixed-mode cracking in layered materials, Adv. Appl. Mech.
29 (1992) 63–191.
19. ASTM D2651, Standard guide for metal surfaces for adhesive bonding. West
Conshohocken (PA): ASTM International; 2001.
20. R.B. Rebak, L.F. Aprigliano, S. Daniel Day, J.C. Farmer, Salt fog testing iron-based
amorphous alloys, Mater. Res. Soc. Symp. Proc. 985 (2007).
21. ASTM, Standard test method for measurement of fatigue crack growth rates, E647
(2000).
22. A. Ameli, N.V. Datla, M. Papini, J.K. Spelt, Hygrothermal properties of highly
toughened epoxy adhesives, J. Adhes. 86 (2010) 698-725.
23. R. Kahraman, M. Al-Harti, Moisture diffusion into aluminum powder-filled epoxy
adhesive in sodium chloride solutions, Int. J. Adhes. Adhes. 25 (2005) 337-341.
24. R.C.L. Tai, Z. Szklarska-Smialowska, Effect of fillers on the degradation of automotive
epoxy adhesives in aqueous solutions, J. Mat. Sci. 28 (1993) 6199-6204.
25. H.R. Azimi, R.A. Pearson, R.W. Hertzberg, Fatigue of rubber-modified epoxies: effect of
particle size and volume fraction, J. Mat. Sci. 31 (1996) 3777-3789.
133
Chapter 6 Effects of aging on the fatigue behavior of two toughened epoxy
adhesives
6.1 Introduction
Water can degrade adhesive joints by damaging the adhesive-adherend interfacial region
or the adhesive itself; therefore, degradation in an adhesive joint exposed to varying amounts of
water is closely related to the water absorption and desorption behavior of the adhesive [1-3].
Water absorption in rubber-toughened epoxy adhesives usually exhibits anomalous (non-
Fickian) behavior [4-6], whereas moisture desorption on drying follows Fick’s law [7]. Some
adhesives retain water after drying [8-10], because of the relatively strong bonds formed between
water molecules and the epoxy [9]. Water molecules in the bulk epoxy are either in a free or
bound state [11]. Free water molecules plasticize and soften the adhesive, decreasing its glass
transition temperature [12]; however, these effects are reversible upon drying. Bound water
molecules, on the other hand, introduce irreversible damage to the adhesive by hydrolysis and
chain scission [13].
Closed joints are usually used in degradation studies, although they take a long time to
degrade due to the length of the diffusion paths, and the degradation is non-uniform across the
joint area, being greatest at the exposed edges. This non-uniform degradation makes it difficult
to associate a loss of joint strength with a particular level of degradation. These limitations can
be overcome using open-faced specimens in which the adhesive is applied to only one adherend,
subject to environmental aging, and then bonded to a second adherend to make the final fracture
specimen [14-19]. This reduces the water diffusion path to the thickness of the adhesive layer
over the entire joint area, thus producing a relatively uniform state of moisture concentration and
degradation in a relatively short period of time. Since previous study [19] correlating the loss of
fatigue strength to a particular level of degradation was limited to the effects of aging
temperature, further study using open-faced specimens focusing on both effects of temperature
and relative humidity (RH) of aging environment is necessary to predict the long-term behavior
of adhesive systems.
134
Previous researchers [15, 18] have proposed that the degradation of the fracture
toughness of an adhesive joint aged at a given temperature is a function of the exposure index
(EI), defined as the time integral of the water concentration in the joint. This concept is
motivated by the desire to combine the effects of time and water concentration in a single
parameter which could be used to quantify the severity of the aging condition. In order for this
concept to be practically useful, the degradation should be uniquely related to EI such that a
given amount of degradation corresponds to a particular EI regardless of the exposure pathway;
i.e. long exposure to a low relative humidity (RH) environment should be equivalent to shorter
exposure to a high RH environment. This hypothesis has been confirmed for the degradation of
fracture toughness [15, 18] at relatively high EI values, but its validity has not been examined for
the degradation of the fatigue threshold and crack growth rates.
In the present work, aged open-faced ADCB specimens made with two different rubber-
toughened epoxy adhesives were subject to cyclic loading under mixed-mode conditions. The
degradation of the fatigue thresholds and crack growth rates were quite different, and illustrated
the effects of environmental degradation of the matrix and toughener as a function of aging time,
temperature, and RH on both the Gth and crack growth rates. A degradation model analogous to
Fick’s law was proposed to characterize the decrease in fatigue threshold with degradation that
was seen for adhesive 1. The EI hypothesis was also evaluated for fatigue threshold and crack
growth rates. Differences in the water absorption properties and glass transition temperatures of
the two adhesives were used to explain the differences in the degradation behavior.
6.2 Experimental
6.2.1 Open-faced specimen preparation
Open-faced ADCB specimens were prepared by casting a 0.4 mm thick “primary” layer
of adhesive on a 12.7 mm thick P2-etch treated AA6061 bar using a smooth backing plate coated
with polytetrafluroethylene release agent (Fig. 6.1). Adhesive 1 and adhesive 2 were used as the
primary adhesives for system 1 and system 2, respectively. The desired bondline thickness was
achieved by placing 0.4 mm diameter piano wires in the primary layer. The assembly was
clamped using large binder clips (25.4 mm wide by 50.8 mm long, ACCO, Booneville, MS,
135
USA) that were centered directly above the spacing wires. The assembly was then cured using
the cure profile (180C for at least 30 min for both adhesives) recommended by the adhesive
manufacturer. The backing plate was removed after curing and the open-faced specimens were
exposed to various environments for a range of times as shown in Table 6.1. Since the present
experiments focused on the effects of irreversible degradation, the aged specimens were dried in
a vacuum oven containing anhydrous calcium sulphate at 40ºC for approximately 7 days. This
drying procedure removed the absorbed moisture (unbound water molecules) thereby eliminating
the reversible effects such as plasticization by water molecules. After drying, the complete
ADCB specimen (Fig. 6.2) was made by bonding the primary adhesive layer of the open-faced
specimen to a 25.4 mm thick P2-etched aluminum AA6061-T6 bar using a 0.25 mm thick
“secondary” layer of adhesive. Adhesive 2 was used as the secondary layer for both adhesive
systems. The desired bondline thickness of the secondary layer was achieved by placing 0.65
mm diameter (combined thickness of primary and secondary layer) piano wires between both
adherends in locations without adhesive. To improve bonding between the primary and
secondary adhesive layers, the degraded primary layer was sanded lightly with a 100 grit sand
paper, wiped with acetone and then dried prior to the application of the secondary adhesive. The
assembly was given a secondary cure following the cure profile (180C for at least 30 min)
recommended by the adhesive manufacturer. After the secondary cure, the excess adhesive on
the sides of the specimen was removed using a belt sander with a 120 grit sand paper and water
as coolant, followed by hand sanding with a 600 grit sand paper.
136
Table 6. 1 SDF diffusion model parameters (Eqs. (1) and (2)) of the adhesives for the various
humid environments studied (data from [22]). Each data point is the average of three repetitions,
where SD indicates the standard deviation.
Environment
Absorption Desorption
D1 ±SD
(10-14
m2/s)
D2±SD
(10-14
m2/s)
M1∞±SD
(%)
M∞±SD
(%)
td1/2
(s1/2
)
Dd ± SD
(10-14
m2/s)
Mr
(%)
Adhesive 1
40ºC 43% RH 113±11 0.0 1.65±0.04 1.65±0.04 ∞ 242±19 0.86±0.04
40ºC 95% RH 134±17 3.8±0.7 3.36±0.09 4.78±0.15 536 214±22 1.40±0.09
60ºC 43% RH 271±24 4.3±0.8 1.38±0.03 1.62±0.04 924 186±18 0.98±0.03
60ºC 95% RH 314±25 8.6±0.9 3.73±0.11 6.98±0.18 329 172±22 1.76±0.11
Adhesive 2
60ºC 95% RH 248±29 8.1±1.5 3.16±0.09 4.78±0.12 219 143±13 0.16±0.03
Figure 6. 1 Open-faced specimen used for aging. The arrows indicate the direction of moisture
diffusion into the primary adhesive layer. The adherend is the thinner one in the ADCB (Fig.
6.2) and was therefore subject to greater bending strain during fracture testing.
137
Figure 6. 2 Configuration of open-faced ADCB specimen after being closed (dimensions in mm,
not to scale). The thicknesses of the primary and secondary adhesive layers were 0.4 and 0.25
mm, respectively. Width of the specimen was 19 mm. The location of the clip gauge is also
shown. The upper adherend is the open-faced adherend shown in Fig. 6.1.
6.2.2 Aging and test conditions
As mentioned above, the open-faced specimens were exposed to environments
maintained at constant humidity and temperature (Table 6.1). A constant relative humidity (RH)
was achieved by placing the specimens in air-tight plastic containers above a saturated salt
solution. The containers were then placed in temperature controlled ovens for aging. These
procedures were identical to those followed in [19] which presented fatigue durability results for
adhesive 1 aged only at 95%RH.
6.2.3 Fatigue testing procedures and environment
Fatigue tests were performed with a servo-hydraulic load frame under displacement
control using a sinusoidal waveform with a frequency of 20 Hz. A constant displacement ratio
(i.e. ratio of minimum to maximum displacement, δmax/δmin) of 0.1 was used. The testing began
with the application of the highest strain energy release rate, G, which then decreased as the
crack grew under constant displacement until the threshold crack growth rate of 10-6 mm/cycle
was reached at the threshold strain energy release rate, Gth. During fatigue testing, the specimens
were enclosed in a chamber to ensure a room temperature, dry air (RD) condition (21±2°C and
<10% RH).
138
A phase angle = 18º was achieved when equal loads were applied to both adherends of
the ADCB [20]. The phase angle, , is defined as , where GI and GII are the
mode I and mode II strain energy release rates, respectively.
The crack length was measured using both optical and specimen compliance methods.
Optical measurements were performed using a CCD camera mounted on a motorized linear
stage. A telescopic lens attached to the camera allowed a field of view of 2 mm. To obtain clear
photographs of the location of the crack tip, the load cycling was stopped and held at the mean
load for 15 s every 9,000 cycles. The specimen compliance was obtained from the relationship
between the crack opening and the applied force during the unloading portion of the loading
cycle. A clip gauge (model 3541, Epsilon Technology Corp., Jackson, WY, USA) recorded the
opening displacement at the loading pins (Fig. 6.2). For each specimen, a polynomial
relationship between the optically observed crack length and the specimen compliance was
established according to ASTM E647 [21]. Using this relationship, the crack length was inferred
from the continuous clip gauge compliance data, and used in all calculations of crack growth rate
and G. A beam-on-elastic-foundation model for unequal adherends was used to calculate G and
Ψ from the measured force and crack length [20].
6.2.4 Adhesive rubber tougheners
A field emission scanning electron microscope (FESEM) was used to examine the rubber
toughener morphology of both adhesives. Bulk adhesive wafers were freeze-fractured in liquid
nitrogen to obtain a planar surface. These fractured surfaces were carbon coated and then
examined under the microscope. The micrographs shown in Fig. 6.3 indicate that the size of
rubber particles were approximately 1 µm and 0.2 µm for adhesives 1 and 2, respectively.
139
(a)
(b)
Figure 6. 3 FESEM micrograph that shows the rubber particles dispersed in the epoxy matrix for
(a) adhesive 1, and (b) adhesive 2. Approximate size of rubber particles is 1 µm and 0.2 µm for
adhesives 1 and 2, respectively.
140
6.2.5 DMTA
A dynamic mechanical thermal analyser (DMTA Q800, TA Instruments, New Castle,
DE, USA) was used to measure the dynamic mechanical properties of bulk samples of the two
adhesives in the fresh, wet, and dried states, as a function of temperature. Cast adhesive wafers
(10 mm × 20 mm × 0.8 mm thickness) of both adhesives were tested under a tensile strain of
0.1% using a frequency of 1 Hz at a temperature ramp of 10ºC/min between room temperature
(25ºC) and 190ºC. The Tg was taken as the temperature at which the loss modulus was
maximum. The wet samples were tested immediately after removal from the environment
chambers, and the dry samples were dried using the procedure explained above for the open-
faced specimens. The DMTA temperature scan was also repeated a second time, immediately
after the first scan, .for a few dry and wet samples of adhesive 1.
6.3 Results and Discussion
6.3.1 Gravimetric analysis
The water absorption of both adhesives was previously found to be non-Fickian, with a
pseudo-equilibrium state being reached at intermediate exposure times before ultimately
reaching a final saturation state; however, water desorption showed simple Fickian behavior
[22]. The absorption and desorption behaviors for both adhesives were modeled using a
sequential dual Fickian (SDF) model [22] and a simple Fickian model, respectively, as illustrated
in Fig. 6.4. The fractional mass uptake, Mt, at any time t, for the SDF model during absorption is
given by [22]:
22
22
2
022
12
22
1
022
4
)()12(exp
)12(
181)(
4
)12(exp
)12(
181
Mh
ttnD
ntt
Mh
tnD
nM
d
n
d
n
t
(1)
where M1∞ and M2∞ correspond to the fractional mass uptake in the first and second stages,
respectively, and M1∞+M2∞=M∞. D1 and D2 are the diffusion coefficients of the first and second
141
moisture uptake stages, respectively. td is the transition time between the two stages, and Φ(t-td)
is the Heaviside step function which is equal to zero for negative values of t-td and equal to one
otherwise.
During drying, the Fickian model gives Mt as:
r
d
n
rt MMh
tnD
nMM
2
22
022 4
)12(exp
)12(
18
(2)
where Mr is the minimum fractional retained water after drying, and Dd is the diffusion
coefficient of the desorption mechanism. Table 6.1 lists the absorption and desorption
parameters for the different exposure conditions for both adhesives as found in [22]. These
parameters were used to calculate the water concentrations at given degradation times in the aged
open-faced ADCB joints.
It is seen that D1 for both adhesives was largely independent of RH, but depended on
temperature (Table 6.1). Furthermore, M for both adhesives was a function of both temperature
and RH. Significant differences in water desorption behavior were observed between adhesive 1
and adhesive 2. A fraction of the absorbed water in adhesive 1 was retained even after prolonged
drying, whereas the absorbed water in adhesive 2 was almost completely eliminated by drying
(Table 6.1). This amount of retained moisture, Mr, for adhesive 1 was proportional to the
saturated water concentration, M∞, so that Mr increased as the temperature and RH of the
environment increased. Ameli et al. [22] used XPS to confirm that water molecules were present
in adhesive 1 after prolonged drying at 40ºC.
142
Figure 6. 4 Illustration of the sequential dual Fickian (SDF) model for water absorption and the
simple Fickian model for water desorption.
6.3.2 DMTA
Figures 6.5 and 6.6 show representative examples of the measured storage and loss
moduli as a function of temperature for fresh, wet, and dry samples of both adhesives obtained
using DMTA. Table 6.2 summarizes the conditioning history of the samples with the
corresponding fractional water uptake (Mt), glass transition temperature (Tg), and room
temperature storage modulus (ERT). The water absorption behavior in the chosen conditioning
environments was dual-Fickian (0 < td < ∞, see Table 6.1), except for the wet A1 sample where
the water absorption was simple Fickian (td = ∞ at 40ºC-43%RH environment, see Table 6.1).
The Tg of the wet samples of both adhesives was smaller than the Tg of the fresh samples
(Table 6.2), decreasing approximately 9º and 7ºC, respectively for adhesives 1 and 2, for each
1% increase in water concentration. These values agree well with the 8ºC drop in Tg per 1%
water concentration reported with a DGEBA epoxy resin [23]. As seen in Table 6.2, this
decrease in Tg was reversible for both adhesives, and drying restored Tg to the value of the fresh
143
samples of both adhesives, irrespective of the amount of retained water after drying. Noting that
the reversible decrease in Tg with absorbed water was due to plasticization from free water
molecules [24], it can be concluded that the retained water in adhesive 1 was not in a free state
and was bound strongly to the adhesive constituents since it did not affect Tg. This is consistent
with the conclusions reached in [18] for these same adhesives. To further test this conclusion, a
second DMTA temperature scan was performed immediately after the first, for few wet and dry
samples of adhesive 1. As observed in [9, 13], the high temperature of the DMTA scan
decreased the water concentrations in the samples. Gravimetric measurements before and after
the first scan showed that the retained water in the dry samples decreased from 1.68% to 1.28%,
and that, for the wet samples, there was a larger decrease from 4.68% to 1.71%. This loss of
water affected the Tg differently for the wet and dry samples. The Tg of the dry samples
remained almost constant (112ºC and 113ºC for the first and second scans, respectively)
indicating that retained water in dry samples had no plasticizing effect. In contrast, the Tg of the
wet samples significantly increased (75ºC in first scan to 111ºC in the second scan) indicating
that the water present in the wet samples had a plasticizing effect. These results support the
argument that the retained water after drying is in the bound state.
The data for the room temperature storage modulus, ERT, was used to understand the
effects of water on the modulus of the adhesive. Table 6.2 shows that the ERT of the adhesive 1
samples that had been wet and then dried increased as the amount of retained water after drying,
Mr, increased. As discussed above, since the retained water in adhesive 1 after drying was in a
bound state, it can be concluded that elastic modulus increased as the amount of bound water in
the adhesive increased. This increase in modulus with bound water can be explained as an
increased resistance to molecular mobility within the adhesive constituents as a result of the
formation of strong bonds with water molecules.
Table 6.2 also shows that ERT of the wet samples of both adhesives decreased below the
ERT of the fresh samples, except for the wet A1 sample, which was aged at a relatively low
temperature and RH (40ºC-43%RH) and therefore contained little water. This inconsistency in
the change in ERT of the wet samples compared with that in the dry samples of adhesive 1 is
expected, because water in wet samples exists in both the free and bound states, and each affects
the elastic modulus differently; i.e. water in the bound state was shown above to increase the
elastic modulus, while water in the free state is known to plasticize and decrease the elastic
144
modulus [25, 26]. Therefore, the ratio of bound to free water in the adhesive determines whether
ERT increases or decreases with water absorption; i.e. ERT increases when the ratio of bound to
free water is high where the increase in stiffness due to bound water dominates the decrease in
stiffness due to free water, and ERT decreases when the ratio is low. Since ERT increased above
the value of the fresh sample only for the wet A1 sample, the ratio of bound to free water is the
highest in this sample compared to other samples. Furthermore, since water absorption followed
a simple-Fickian relationship only for the wet A1 sample as a consequence of the relatively low
temperature and RH of the aging environment (40ºC-43%RH), and was dual-Fickian for all other
samples, it can be concluded that the ratio of bound to free water is highest for simple-Fickian
absorption and that the ratio was relatively low for dual-Fickian absorption when the aging
environment was at a higher temperature and RH.
It is noted that absorbed water decreased the Tg of the wet adhesive 2 sample (A2) well
below the temperature of the conditioning environment (60ºC); however, the Tg of the wet
adhesive 1 samples (A1, B1 and C1) remained well above the temperatures of the respective
conditioning environments (40ºC and 60ºC). The effects of aging these adhesives below or
above their Tg is discussed below.
145
Table 6. 2 Conditioning environments and the corresponding fractional water uptake (Mt), glass
transition temperature (Tg), and storage modulus at room temperature (ERT) of fresh, wet, and dry
samples of both adhesives. Percentage change in Tg and ERT values from the fresh sample values
of the corresponding adhesive were also included.
Sample Conditioning Mt
(%)
Tg
(ºC)
%
change
in Tg
ERT
(N/mm2)
%
change
in ERT
Adhesive 1
Fresh, A1 cured and dried 0 121 1402
Wet, A1 Saturated at 40ºC-43%RH 1.68 117 -3 1628 +16
Wet, B1 5 days aging at 60ºC-95%RH 4.54 75 -38 1126 -20
Wet, C1 7 days aging at 60ºC-95%RH 4.81 81 -33 1097 -22
Dry, A1 Saturated at 40ºC-43%RH and dried 0.86 124 +2 1575 +11
Dry, D1 Saturated at 60ºC-43%RH and dried 0.98 122 +1 1543 +10
Dry, C2 Saturated at 60ºC-95%RH and dried 1.76 121 0 1711 +22
Adhesive 2
Fresh, A2 Cured and dried 0 75 995
Wet, A2 7 days aging at 60ºC-95%RH 4.32 42 -44 770 -20
Dry, A2 7 days aging at 60ºC-95%RH and
dried 0.16 78 +4 1078 +7
146
(a)
(b)
Figure 6. 5 Dynamic storage modulus (a) and loss modulus (b) as a function of temperature for
adhesive 1 measured using DMTA. Samples of adhesive as-cured, and tested after 5 days
exposure to the 60C-95%RH environment without being dried (“wet” state) and after drying to
remove absorbed, unbound water (“dry” state).
0
400
800
1200
1600
2000
0 50 100 150 200
Sto
rage
mo
du
lus, M
Pa
Temperature, ºC
Adhesive 1
Fresh
60ºC 95% RH Wet
60ºC 95% RH Dry
0
20
40
60
80
100
120
140
0 50 100 150 200
Lo
ss m
od
ulu
s, M
Pa
Temperature, ºC
Adhesive 1Fresh
60ºC 95% RH Wet
60ºC 95% RH Dry
147
(a)
(b)
Figure 6. 6 Dynamic storage modulus (a) and loss modulus (b) as a function of temperature for
adhesive 2 measured using DMTA. Samples of adhesive as-cured, and tested after 7 days
exposure to the 60C-95% RH environment without being dried (“wet” state) and after drying to
remove absorbed unbound water (“dry” state).
0
200
400
600
800
1000
1200
0 50 100 150 200
Sto
rage
mo
du
lus, M
Pa
Temperature, ºC
Adhesive 2
Fresh
60ºC 95% RH Wet
60ºC 95% RH Dry
0
10
20
30
40
50
60
70
80
90
0 50 100 150 200
Lo
ss m
od
ulu
s, M
Pa
Temperature, ºC
Adhesive 2
Fresh
60ºC 95% RH Wet
60ºC 95% RH Dry
148
6.3.3 Fatigue behavior of joints with adhesive 1
6.3.3.1 Effects of aging environment on the fatigue threshold
Figure 6.7 shows the variation of Gth with aging time under the two humidity levels at
40ºC and 60ºC, and the average Gth of an unaged (freshly bonded) closed specimen of adhesive
1. Two stages of degradation were observed in all aging environments. In the first stage, the
fatigue threshold decreased relatively quickly with aging time, but then Gth remained
approximately constant at a low value (Gth,) with further aging. A similar two-stage
degradation of the fatigue threshold was observed for joints with pretreated AA5754 adherends
bonded with adhesive 1 that were aged and tested under similar environments [19]. These
similarities were expected, because in both studies the crack path remained cohesive in the
adhesive layer; i.e. since the crack path was in the adhesive layer, the degradation in threshold
behavior was sensitive to the adhesive and was insensitive to the pretreatment.
It was hypothesized that the variation in threshold with time, Gth(t), could be modeled,
using a simple Fickian-type relation since it appeared to depend mostly on the amount of water
absorbed, or equivalently, on the amount of retained water. Therefore, following the form of Eq.
(2),
(3)
where Gth,fresh and Gth,∞ are the fatigue thresholds of the fresh joint and the joint after prolonged
aging, respectively. Ddeg is defined as a degradation coefficient reflecting the rate of
degradation. Treating Ddeg as an adjustable coefficient and minimizing the least-squares error
gave the solid curves in Fig. 6.7. In general, the agreement between the fitted curves and the
data was good, especially at 60ºC and at 95%RH. Under the driest conditions (40ºC-43%RH)
the fit was good at short and long times, but tended to overpredict the decrease in Gth, with aging
time at intermediate times. This supports the contention that the degradation of Gth, under hot-
wet aging tends to develop in proportion to the amount of absorbed water, or retained water in
the dry adhesive since they were related as discussed above (Table 6.1)
Figure 6.8 shows that Gth,, the stable value after relatively long exposure times, was
affected more by the RH than by the temperature of the aging environment; i.e. at each RH,
149
increasing the aging temperature from 40ºC to 60ºC had a statistically insignificant effect on
Gth,, whereas at each temperature, increasing RH from 43% to 95% decreased Gth, significantly
(t-test, 95% confidence level). This can be attributed to the much larger change in the amount of
water in the adhesive due to changes in RH than due to changes in temperature; i.e. Table 6.1
shows that M increased by 190% at 40ºC and 330% at 60ºC as the RH increased from 43% to
95%. In comparison, M increased by only 46% at 95% RH when the temperature increased
from 40ºC to 60ºC.
Figure 6.9 compares the variation in threshold with aging time for specimens aged at
95% RH and temperatures of 40ºC and 60ºC. Increasing the aging temperature increased the rate
at which the joints degraded and decreased the time to the onset of the steady-state stage; i.e. the
aging time required for Gth to decrease to 80% of the ultimate degradation was approximately 60
days at 60ºC and 87days at 40ºC.
(a)
0
25
50
75
100
125
150
175
200
0 5 10 15 20
Gth
(J/m
2)
t1/2 (Day1/2)
Fresh
40ºC 43% RH
40ºC 95% RH
40ºC
2,2
2,2
4,2
3,2
3,2
2,12,1
2,2
2,1
150
(b)
Figure 6. 7 Fatigue threshold as a function of square root of aging time for adhesive 1 specimens
aged at 95% and 43% RH at temperatures of (a) 40ºC and (b) 60ºC. Trend lines are the least-
square fits of Eq. (3) to the measured data. Numbers next to each data point indicate the number
of thresholds reached and the number of specimens tested, respectively; these two numbers are
different in cases where more than one threshold was reached using a single specimen. Error
bars represent the range of the measurements.
0
25
50
75
100
125
150
175
200
0 5 10 15 20
Gth
(J/m
2)
t1/2 (Day1/2)
Fresh
60ºC 43% RH
60ºC 95% RH
60ºC
3,22,1
2,1
2,12,1
3,22,2
2,2
2,1
151
Figure 6. 8 Gth,∞ values in different aging environments and the Gth of fresh specimens. Average
threshold values are shown above the columns and the error bars represent ±1 standard deviation.
Figure 6. 9 Least-squares fits of Eq. (3) for the data of Fig. 6.7 at 95% RH.
172
116
77
122
68
0
50
100
150
200
250 Adhesive 1
Gth
, J/m
2
0
25
50
75
100
125
150
175
200
0 5 10 15 20
Gth
(J/m
2)
t1/2 (Day1/2)
40ºC 95% RH
60ºC 95% RH
95% RH
152
6.3.3.2 Effects of aging environment on the crack growth rate behavior of adhesive 1
Figure 6.10 shows the variation of the adhesive 1 crack growth rate curves with aging
time for the various aging environments. Similar to threshold degradation, the crack growth
rates degraded in two stages, with rapidly increasing crack growth in the first few weeks of aging
followed by a stabilization where the crack growth rates remained largely unchanged with
further aging. This is illustrated in Fig. 6.11 which shows the best-fit lines to the Paris regions of
the curves of Fig. 6.10.
As expected, Fig. 6.12 shows that the crack growth rate curves for the different aging
environments became more widely separated as the aging time increased. Furthermore, as was
observed in threshold degradation, at longer aging times the crack growth rates were affected
more by RH than by the temperature of the aging environment. In other words, for the longer
aging times at each RH, increasing the aging temperature from 40ºC to 60ºC had an insignificant
effect on the crack growth rate (Figs. 6.12(e) and 6.12(f)).
The first stage of degradation ended sooner for the threshold than for the crack growth
rate; for example, for specimens aged at 60ºC and 95% RH the threshold stabilized after 48 days
(Fig. 6.10(b)) and after 90 days for the crack growth rate (Fig. 6.12(d)). These transition points
between the first and second stages of threshold degradation were defined as the minimum aging
times required to degrade Gth to 80% of the ultimate degradation measured at stabilization.
Similar differences between the degradation of the fatigue threshold and the crack growth rates
were observed in earlier work with joints made with pretreated AA5754 adherends bonded with
adhesive 1 [19].
It is hypothesized that this can be explained by differences in the fatigue failure
mechanisms near the threshold and at higher crack growth rates, which are related to differences
in the plastic zone size at the crack tip. Datla et al. [27] used finite element modeling of the
ADCB specimen ( =18º) used in this study to show that the thickness of the plastic zone of
adhesive 1 near the threshold at an applied Gmax=150 J/m2 was around 80 µm. This grew to
approximately 120 µm at Gmax =200 J/m2 at the start of the linear Paris region of the crack
growth rate curve. In comparison, Fig. 6.3(a) indicates that the rubber particle size in adhesive 1
was approximately 1 µm. Therefore, fatigue at the threshold will involve a smaller volume of
rubber particles and the behavior of the epoxy matrix will be relatively more important than at
153
higher crack growth rates. Since the degradation of Gth stabilizes sooner than the crack growth
rate, this hypothesis implies that the degradation of the cross-linked epoxy matrix stabilizes
before the degradation of the toughening associated with the rubber particles. Similarly using
the same adhesive system, Ameli et al. [18] concluded that the fracture toughness of epoxy
matrix degrades, but at longer aging times. Their conclusion was based on the observation that
initiation fracture toughness, which was governed by the matrix, decreased at very long aging
times; for example, specimens aged at 60ºC and 95% RH showed that initiation toughness values
decreased after 360 days of aging, while fatigue threshold decreased from the start of exposure).
This difference in the aging times required to observe degradation suggests that fatigue is more
sensitive to degradation than fracture.
This is similar to the concept proposed by Azimi et al. [28] who found that the fatigue
threshold of a rubber-toughened epoxy adhesive was the same as that of an untoughened epoxy,
suggesting that rubber toughening mechanisms were absent at these small crack growth rates
close to the threshold. They attributed this to the size of the plastic zone ahead of the crack tip
being smaller than the rubber particles, thereby minimizing their influence in crack propagation.
154
(a)
(b)
-7
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
s
Log (Gmax), J/m2
40ºC 43% RH
Fresh
7 days
20 days
42 days
60 days
90 days
153 days
251 days
-7
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
s
Log (Gmax), J/m2
40ºC 95% RHFresh
7 days
19 days
42 days
60 days
90 days
152 days
246 days
155
(c)
(d)
Figure 6. 10 Measured fatigue crack growth rate curves for adhesive 1 specimens aged at: (a)
40°C – 43% RH, (b) 40°C – 95% RH, (c) 60°C – 43% RH, and (d) 60°C – 95% RH. Aging
times in days are given in the legend.
-7
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
s
Log (Gmax), J/m2
60ºC 43% RH
Fresh
7 days
21 days
42 days
60 days
90 days
154 days
248 days
-7
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
s
Log (Gmax), J/m2
60ºC 95% RH
Fresh
7 days
20 days
48 days
90 days
149 days
231 days
156
(a)
(b)
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
40ºC - 43% RHFresh
7
20
42
60
90
153
251
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
40ºC - 95% RHFresh
7
19
42
60
90
152
246
157
(c)
(d)
Figure 6. 11 Variation of crack growth rate curves with aging time for adhesive 1 specimens
aged at: (a) 40°C–43% RH, (b) 40°C–95% RH, (c) 60°C–43% RH, and (d) 60°C–95% RH.
Each line is the least-squares fit to the linear Paris region of the crack growth curves shown in
Fig. 6.10. Aging times in days are given in the legend.
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
60ºC - 43% RHFresh
7
21
42
60
90
154
248
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
60ºC - 95% RH
Fresh
7
20
48
90
149
231
158
(a)
(b)
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
7 days
Fresh
40ºC 43%RH
40ºC 95%RH
60ºC 43%RH
60ºC 95%RH
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
21 days
Fresh
40ºC 43%RH
40ºC 95%RH
60ºC 43%RH
60ºC 95%RH
159
(c)
(d)
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
45 days
Fresh
40ºC 43%RH
40ºC 95%RH
60ºC 43%RH
60ºC 95%RH
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
90 days
Fresh
40ºC 43%RH
40ºC 95%RH
60ºC 43%RH
60ºC 95%RH
160
(e)
(f)
Figure 6. 12 Effect of aging environment on the crack growth rate curves for adhesive 1
specimens aged for: (a) 7, (b) 21, (c) 45, (d) 90, (e) 150, and (f) 240 days. Each line is the least-
squares fit to the linear Paris region of the crack growth curves shown in Fig. 6.10.
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
150 days
Fresh
40ºC 43%RH
40ºC 95%RH
60ºC 43%RH
60ºC 95%RH
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
240 days
Fresh
40ºC 43%RH
40ºC 95%RH
60ºC 43%RH
60ºC 95%RH
161
6.3.3.3 Effects of aging environment on the crack path of adhesive 1
Figure 6.13 shows that the crack paths in both the unaged and aged joints were cohesive
at all crack growth rates. Furthermore, the thickness of the residual adhesive on the more highly-
strained open-faced adherend decreased monotonically with decreasing crack growth rate
(decreasing Gmax) in all specimens. A similar trend has been explained in terms of the decreasing
size of the plastic zone at the tip of the crack as the applied G decreased [20]. This relation was
illustrated above for Gmax=150 J/m2 and 200 J/m
2. Assuming that the average crack path tends
toward the centre of the plastic zone, the residual adhesive thickness will decrease as the applied
G decreases and the crack slows. Figure 6.13 also shows that the aging time did not affect the
thickness of the residual adhesive.
Figure 6. 13 Fracture surfaces on the more highly-strained (reinforced) adherend for adhesive 1
specimens that were: (a) unaged, (b) aged for 21 days at 40ºC – 95% RH, and (c) aged for 150
days at 40ºC – 95% RH. In each case, the fatigue region is to the left of the arrow showing
where Gth occurred. After reaching Gth, specimens were fractured, except for (c) where the
fatigue process was repeated.
162
6.3.3.4 Exposure index (EI) behavior of adhesive 1
The analytical expression for EI during the absorption, the time integral of the water
concentration within the adhesive at a given spatial location x from the exposed surface as a
function of absorption time t in an open-faced specimen, based on the SDF model for water
absorption, is given by [18]:
(4)
where and are the water saturated concentrations of the first and second diffusion
mechanisms such that , where is the total saturation concentration.
Assuming a uniform distribution of water concentrations at saturation, and
. h is the thickness of the primary layer of adhesive. Since the absorbed water can also
degrade the adhesive during the drying period (7 days in vacuum oven), which sometimes is a
significant portion of the exposure time, the environmental exposure during desorption process,
EId was also considered [18]:
(5)
where is the retained water concentration, C is the water concentration before drying, and is
the drying time. Assuming a uniform distribution of water concentration after drying, .
The total exposure index, EIT from start of exposure to hot-wet environment to the end of the
drying period is thus
(6)
Figure 6.14 shows the variation in the average Gth with the total exposure index, EIT, for
joints aged using two different aging paths: 43% and 95% RH at temperature of 40ºC and 60ºC.
For both temperatures, at any particular EIT value the decrease in Gth was greater for specimens
163
aged at 95% RH than at 43% RH. For example, at an EIT of 25×106 g/g.s at 60ºC the Gth
decreased by 57% after exposure at 95% RH for 48 days (from 172±20 to 74 J/m2) and by 32%
for specimens aged at 43% RH for 154 days (from 172±20 to 117±7 J/m2). Furthermore, Fig.
6.15 shows significant differences in the crack growth rate curves for similar EIT values reached
using two different aging paths. For both temperatures, at any particular applied G the crack
growth rates were higher for specimens aged at 95% RH than at 43% RH, even though the EIT
values were quite similar. This indicates that degradation in the fatigue threshold and crack
growth rates was not path independent, thereby invalidating the EI hypothesis for both the
fatigue threshold and crack growth rates, at least for relatively small values of EIT <36×106 g/g.s.
A similar dependence on the path of the aging at lower EIT (less than 25×106 g/g.s) was
observed for fracture toughness using the same adhesive system (1) as in present study [29].
However, at higher EIT values (> 25×106 g/g.s) path independence was observed. Since the
maximum EIT reached at the lower humidity level in the present tests was 36×106 g/g.s, which is
relatively small, it is possible that path independence may exist at higher EIT values.
164
(a)
(b)
Figure 6. 14 Fatigue threshold vs. EIT for adhesive 1 specimens aged at 43% and 95% RH and
temperatures of (a) 40ºC and (b) 60ºC. Trend lines show the best-fit power law curves to the
data at 95% RH.
y = 200.56x-0.236
R² = 0.9219
0
25
50
75
100
125
150
175
200
0 50 100 150
Gth
, J/m
2
EIT,106 g/g.s
40ºC 43% RH
40ºC 95% RH
40ºC 95% RH
y = 176.55x-0.222
R² = 0.8104
0
25
50
75
100
125
150
0 50 100 150 200
Gth
, J/m
2
EIT, 106 g/g.s
60ºC 43% RH
60ºC 95% RH
60ºC 95% RH
165
(a)
(b)
Figure 6. 15 Differences in the crack growth rates for adhesive 1 with similar EIT values that
were aged at different RH at aging temperatures of (a) 40ºC and (b) 60ºC. EIT values of
specimens are given in the legend (multiplied by 106 g/g.s). Each line is the least-squares fit to
the linear Paris region of the crack growth curves shown in Fig. 6.10.
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
43% RH (13.3)
95% RH (15.1)
43% RH (35.6)
95% RH (34.6)
T = 40ºCT = 40ºC
-6
-5
-4
-3
-2
-1
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
43% RH (8.4)
95% RH (10.3)
43% RH (21.5)
95% RH (26.9)
T = 60ºCT = 60ºC
166
6.3.4 Fatigue behavior of joints with adhesive 2
Figure 6.16 shows the variation of Gth with aging time for specimens aged at 60ºC - 95%
RH, and the average Gth of unaged closed specimens. It can be seen that the threshold decreased
significantly by 36% (from 129±15 to 82±2 J/m2) after 2 months of aging, and by 43% (from
129±15 to 73±21 J/m2) after 6 months of aging. However, Fig. 6.17 shows insignificant changes
in crack growth rates with aging at relatively high crack growth rates, corresponding to G greater
than approximately 102.4 = 250 J/m2. In other words, the fatigue performance at loads above Gth
was undegraded even after 180 days of open-faced aging. This is in marked contrast to the
behavior of adhesive 1 which showed significant degradation of the threshold and the crack
growth rate from the onset of aging.
As with adhesive 1, Fig. 6.18 shows that the crack path in both unaged and aged joints
with adhesive 2 was cohesive at all crack growth rates. It was also observed that at high crack
growth rates the crack path was inconsistent for aged specimens; i.e. the crack path was in the
primary layer for some specimens (Fig. 6.18(b)) and in the secondary layer for the remaining
specimens (Fig. 6.18(c)). Furthermore, since the changes in the crack growth rate curves were
insignificant (see Fig. 6.17), this inconsistency in crack path was probably caused by the
approximately equal toughness of the aged (primary) and unaged (secondary) layers. Figures
6.18(b) and 6.18(c) also show that the crack path remained in the primary adhesive near the
interface of the more highly-strained adherend as the crack growth rate approached the threshold.
167
Figure 6. 16 Fatigue threshold vs. aging time for adhesive 2 specimens aged at 60ºC and 95%
RH. Numbers next to each data point indicate the number of thresholds reached and the number
of specimens tested, respectively. Error bars represent the range of the measurements.
Figure 6. 17 Measured fatigue crack growth rate curves for adhesive 2 specimens aged at 60°C–
95% RH. Aging time is given in the legend.
0
50
100
150
0 30 60 90 120 150 180
Gth
, J/m
2
Aging time, days
2,22,2
2,2
-7
-6
-5
-4
-3
1.6 2 2.4 2.8 3.2
Lo
g (
da
/dN
), m
m/c
ycle
Log (Gmax), J/m2
Fresh
60 days
180 days
168
Figure 6. 18 Fracture surfaces of adhesive 2 specimens on the more highly-strained adherend for
an unaged closed joint (A) and for two 180 days aged specimens at 60ºC – 95% RH with crack
path at higher crack growth rates in the primary layer (specimen B) and in the secondary layer
(specimen C). Crack growth from left to right corresponding to an applied G that decreased
from left to right toward the threshold. Specimens were fractured after reaching Gth.
6.3.4.1 Degradation mechanisms of adhesive 2
As discussed above, Figs. 6.16 and 6.17 show that aging of adhesive 2 caused Gth to
decrease significantly with aging time, but that crack growth rates were mostly unaffected by
aging. Following the reasoning used in Section 3.3.2 to explain the differences between the
threshold and crack propagation behaviors in adhesive 1, it is possible that the rubber toughening
mechanisms that were present at relatively high crack growth rates above threshold were absent
as the crack growth rates reached threshold.
A marked difference was observed between both adhesives in their degradation behavior
at crack growth rates above threshold: while adhesive 1 degraded with aging time adhesive 2 did
not degrade, even after prolonged aging. This difference in degradation combined with the key
169
observation that retained water in the form of bound water was present only in adhesive 1 and
not in adhesive 2, suggests that the bound water in adhesive 1 may have been responsible for
degradation at relatively high crack growth rates. Since rubber toughening mechanisms are
strongly affected by the adhesion between the rubber particles and the matrix [30-32], a possible
explanation for the degradation in adhesive 1 was that the retained bound water disrupted
chemical bonds between the rubber particles and the matrix by being bound at the rubber-matrix
interface. This hypothesis was supported by an earlier observation by Ameli et al.. [14] that
showed that the degraded fracture toughness of adhesive 1 decreased to a low value which was
approximately equal to the fracture toughness of an un-toughened epoxy. The negligible
retained water in adhesive 2 suggests that the chemical bonds at the rubber-matrix interface
could not have been disrupted in this way, thereby leaving the toughening mechanisms and
consequently the crack growth rates unaffected in adhesive 2. This is consistent with the work in
ref. [14] showing that the quasi-static fracture toughness of adhesive 2 remained unchanged
when aged under these same conditions.
It is interesting to note that aging was done at temperatures below the wet Tg for adhesive
1 and above the wet Tg for adhesive 2 (see Table 6.2). Further work is required to determine if
aging at temperatures above Tg, when the adhesive was in the rubbery state, had an effect on
degradation that was independent of the effect attributable to the absence of retained water in
adhesive 2.
6.4 Conclusions
Two rubber-toughened epoxy adhesives exhibited very different degradation behaviors
when aged in hot-wet environments. The reasons for these differences were investigated by
comparing the water absorption/desorption behavior and the results of dynamic mechanical
thermal analysis (DMTA). In adhesive 1 a significant amount of absorbed water was retained in
the adhesive even after prolonged drying, whereas in adhesive 2 the amount of retained water
was negligible. The DMTA results showed that retained water in adhesive 1 was bound to the
adhesive constituents and was not in a free state.
170
Aged open-faced ADCB specimens made with these adhesives were subject to cyclic
loading under mixed-mode conditions. The contrasting results illustrated the effects of
environmental degradation of the matrix and the rubber-toughening particles. The fatigue
threshold strain energy release rate, Gth, of adhesive 1 initially decreased with aging time until it
reached a constant minimum value for long times. Similarly, fatigue crack growth rates initially
increased with aging time until reaching a limiting upper value. However, Gth reached the
minimum value sooner than did the crack growth rate. In contrast, Gth of adhesive 2 decreased
significantly with aging time while the crack growth rates remained unchanged, even after
prolonged aging.
These differences in fatigue threshold and crack growth rate behavior were explained by
the changes in the size of the plastic zone at the crack tip as the applied loads changed. At
relatively high crack growth rates, rubber-toughening mechanisms were active because of the
relatively large plastic zone. These mechanisms were much less effective when the crack tip
plastic zones became smaller with the decreasing applied loads as the crack growth rates
approached the threshold. The differences in the effects of degradation between the two
adhesives at relatively high crack growth rates is believed to be primarily related to the amount
of retained, bound water. The experimental observations were consistent with the hypothesis
that bound water disrupted the rubber/matrix interface in adhesive 1, thereby degrading the
toughening mechanisms. Having no retained, bound water, adhesive 2 was unaffected by this
degradation.
The hypothesis that degradation can be correlated with the time integral of the water
concentration in the adhesive layer (the “exposure index”, EI) was evaluated using different
combinations of water concentration and exposure time that gave the same EI. For the range of
EI values that were investigated, it was found that such path independence did not exist. This
limits the applicability of the EI approach, at least for the relatively small EI values that were
studied.
171
6.5 References
1. M.A. Wahab, I.A. Ashcroft, A.D. Crocombe, S.J. Shaw, Diffusion of moisture in
adhesively bonded joints, J. Adhes.77(2001) 43–80.
2. G. LaPlante, A.V. Ouriadov, P. Lee-Sullivan, B.J. Balcom, Anomalous moisture
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Chapter 7 Conclusions and Recommendations
7.1 Conclusions
7.1.1 Fresh adhesive joints
A reinforced sheet specimen was used to study the fatigue behavior of thin sheet
adherends without yielding. It was concluded that the additional compliance of the reinforcing
adhesive layer had an insignificant effect on the stress state at the crack tip, and thus the strain
energy release rate and phase angle of loading. Therefore, the laminated sheet specimen can be
used to measure fatigue behavior that is characteristic of the adhesive-sheet system, being
unaffected by the reinforcement. This is useful in the fatigue testing of metal sheets that have
been coil coated with pretreatments that cannot be applied reliably on thicker material.
Fatigue experiments were conducted with ADCB (phase angle 13) and CLS (phase
angle 50) specimens made with reinforced aluminum sheet that had been pretreated using a
commercial coil-coating process. It was found that the fatigue threshold was sensitive to the
orientation of the rolling lines on the sheet at higher phase angles, being increased significantly
when the rolling lines were perpendicular to the direction of crack growth on the CLS specimens
(transverse to the specimen length). The fatigue crack growth rates were very similar for all
specimens except the CLS specimens having the transverse rolling lines, where they were lower.
These observations were related to the increasing proximity of the crack path to the sheet
interface as the phase angle increased.
Fatigue testing of the coil-coated sheet in a hot-wet environment significantly reduced the
threshold compared to testing in room temperature dry air. The crack path in the hot-wet
environment became fully interfacial, whereas it was cohesive in the dry case.
7.1.2 Water diffusion in toughened epoxy adhesives
The water absorption and desorption of two different rubber-toughened epoxy adhesives
were characterized using gravimetric measurements. A newly developed sequential dual Fickian
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(SDF) model was developed to fit the fractional mass uptake profiles and agreed well with the
Langmuir diffusion model. The diffusion mechanism in the first stage appeared to be influenced
by hydrogen bonding while the diffusion mechanism in the second stage was primarily physical
in nature. The diffusion coefficients in both stages were found to be largely independent of RH,
while the saturated fractional mass uptake values increased with RH. The diffusion coefficient
of the first stage and the saturated fractional mass uptake of the second stage were both functions
of temperature. These functional dependencies were described, making the SDF model
predictive over the ranges of temperature and RH that were investigated.
The desorption during drying in both adhesives was described well by Fick’s law. Both
gravimetric results and XPS revealed that there was a significant difference between the amounts
of minimum fractional retained water in the two adhesives after drying. The relatively large
amount of retained water in adhesive 1 was attributed to multiple hydrogen bonds between the
water molecules and the epoxy or other constituents such as the rubber toughener particles or the
filler. In a separate test program, it was found that these differences in water absorption-
desorption corresponded to marked differences in the degradation of fracture toughness in hot-
wet aging environments (to appear in a future publication).
The SDF model can be used to predict the water concentration distribution in adhesive
joints exposed to environments of changing temperature and RH under the assumption of
negligible interface diffusion.
7.1.3 Effects of test environment
The temperature and humidity of the test environment were found to have a significant
effect on the mixed-mode fatigue behavior of aluminum adhesive joints. Under dry conditions,
there was little change in the fatigue threshold over the temperature range 20-80ºC, but the crack
growth rate in the Paris law region increased significantly with increasing temperature, and the
crack path tended to move away from the interface. These observations were consistent with the
growth of the crack-tip plastic zone with increasing temperature, as predicted using finite
element modeling. A larger plastic zone would lead to greater damage accumulation, resulting in
increased crack growth rates and residual adhesive thickness.
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Fatigue behavior was insensitive to ambient moisture at higher crack growth rates, but
became sensitive to the moisture level as crack growth rates neared the threshold where the
speed of moisture diffusion ahead of crack tip was greater than the crack growth rate. In
particular at 100% RH, the crack growth rate became independent of the applied strain energy
release rate, G, for a small range of G just above the threshold. This inflection in the curve of
crack growth rate vs. G may have been caused by the crack growth increment per cycle being
limited to the thickness of the hydrated oxide film forming at the crack tip between loading
cycles. This is analogous to the mechanism that has been proposed for a similar inflection
reported in the fatigue of aluminum alloys. As the humidity in the test environment reached the
saturation level, moisture condensed behind the crack tip. It is believed that this increased water
diffusion to the point where it exceeded a critical moisture level needed to hydrate the oxide
layer ahead of the crack tip. This hydration may then have caused a shift in crack path to the
interface and a decrease in Gth.
Finally, the combined effects of elevated temperature and humidity were explained from
this understanding of the individual effects of temperature and humidity. At higher crack growth
rates, the joint fatigue performance degraded solely due to the increased temperature, whereas at
low crack growth rates, fatigue performance degraded predominantly because of the elevated
moisture. These effects of a hot-wet testing environment on fatigue behavior were found to be
similar for both a P2-etch pretreatment and a commercial coil-coat pretreatment.
7.1.4 Effects of long-term aging environments
7.1.4.1 Adhesive system with CC aluminum sheet adherend
The mixed-mode fatigue behavior of degraded toughened epoxy-aluminum adhesive
joints was studied using open-faced ADCB specimens. Both constant humidity environments
and cyclic environments were studied. In constant humidity environments, the fatigue threshold
and crack growth rate behavior were affected differently. The fatigue threshold strain energy
release rate, Gth, decreased from an undegraded value to a constant minimum value that did not
change even after prolonged aging. In contrast, the crack growth rates continued to increase with
aging time, showing no tendency to reach a limiting value. It was hypothesized that the
continuing increase in the crack growth rate with aging time was related to the loss of the rubber
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toughening mechanism, and that the decrease in Gth was related to the degradation of the epoxy
matrix. Increasing the aging temperature accelerated the rate at which Gth decreased from its
initial value. The crack paths remained cohesive in the adhesive layer in all of the experiments,
with the residual adhesive thickness on the more highly-strained adherend decreasing as the
crack growth rate (or applied G) decreased.
For joints aged in the cyclically changing environment with intermittent salt spray,
neither Gth nor the crack growth rates degraded until after four weeks of aging. The superior
fatigue performance of these joints compared to joints aged in constant humidity environments
was due to the lower equilibrium water concentrations in the adhesive, which were modeled
using the finite element method. This was supported by moisture uptake measurements of the
adhesive in deionised and salt water environments which showed that the diffusion was simple
Fickian at room temperature and dual-Fickian at the higher temperatures. The salt spray
produced an osmotic pressure that affected the diffusion kinetics of the mobile water molecules
in the epoxy during absorption.
7.1.4.2 Adhesive system with P2-etched aluminum bar adherends
The mixed-mode fatigue beahvior of two toughened epoxy adhesives were studies using
open-faced ADCB specimens. The contrasting results illustrated the effects of environmental
degradation of the matrix and toughener. The fatigue threshold strain energy release rate, Gth,
and the crack growth rates of adhesive system 1 degraded in two stages: Gth initially decreased
with aging time until it reached a constant minimum value for long times. Similarly, fatigue
crack growth rates initially increased with aging time until reaching a limiting upper value.
However, Gth reached the minimum value sooner than did the crack growth rate. In contrast, the
Gth of adhesive system 2 decreased significantly with aging while the crack growth rates
remained unchanged even after prolonged aging. These differences in fatigue threshold and
crack growth rates behavior of both adhesives was explained by the rubber toughening
mechanisms that were present at relatively high crack growth rates above threshold and were
absent as the crack growth rates reached threshold.
Gravimetric measurements and dynamic mechanical thermal analysis (DMTA) illustrated
the differences in the two adhesives. In adhesive 1 a significant amount of absorbed water was
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retained in the adhesive even after prolonged aging, where as in adhesive 2 the amount of
retained water was negligible. The DMTA results showed that retained water in adhesive 1 was
bound strongly to the adhesive constituents and is not in a free state. From these observations,
the difference in the fatigue degradation behavior between the two adhesives at relatively high
crack growths was related to the bound water that disrupted the rubber/matrix interface in
adheisve1, and did not disrupt the the rubber/matrix interface in adhesive 2 due to negligible
amount of bound water. Another observation to explain the differences between both adhesives
was that aging decreased Tg below the aging temperature for adhesive 2, whereas Tg was well
above the aging temperature for adhesive 1. It was hypothesized that the aging of adhesive 2 at
temperatures above Tg did not degrade the toughening mechanism, but did produce degradation
of the epoxy matrix.
Evaluation of the degradation in fatigue threshold and crack growth rates with the
humidity-time exposure history (pathway) showed that degradation was path dependent, thereby
invalidating the EI hypothesis for the fatigue threshold and crack growth rates.
7.2 Future work
1. The current study used open-faced specimens to measure the degradation in fatigue
threshold and crack growth rates with aging. A natural extension of this study is to use
open-faced results to predict long-term fatigue behavior of closed joints.
2. Investigate the role of water plasticization on the degradation of aged joints. Such a
study combined with the present results on irreversible degradation (done by drying the
aged specimens before testing) will explain the degradation behaviour of wet, aged joints.
3. This study invalidated the EI hypothesis, at least for the extent of aging times studied in
this research. However, further study needs to be done to determine if this is true for
longer aging times, and to explore other degradation parameters that can characterize an
aging history and may be uniquely related to fatigue degradation.
4. Study degradation of galvanized steel adhesive joints using open-faced specimens.
5. This study showed the applicability of open-faced specimens to characterize degradation
behaviour of joints that failed cohesive in the adhesive layer. To generalise the
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applicability of open-faced specimens, further study needs to be done to characterize
adhesives systems that fail at the adhesive/adherend interface upon degradation.