3D Microstructure Characterization of Wood Based ... 3D Microstructure Characterization of Wood...

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  • 3D Microstructure Characterization of Wood Based PanelsWood Based Panels

    Gernot STANDFEST1, Simon KRANZER2, Dietmar SALABERGER3, Bernhard PLANK3, Alexander PETUTSCHNIGG1, Manfred DUNKY4

    1Salzburg University of Applied Sciences, Markt 136a, A-5431 Kuchl, AUSTRIA 2Salzburg University of Applied Sciences, Urstein Süd1, A-5412 Puch, AUSTRIA

    3U A t i U i it f A li d S i St l h t 23 A 4600 W l AUSTRIA33Upper Austrian University of Applied Sciences, Stelzhammerstrasse 23, A-4600 Wels, AUSTRIA3 4Kronospan GmbH Lampertswalde, Mühlbacherstrasse 1, D-01564 Lampertswalde/Dresden, GERMANY

    gernot.standfest@fh-salzburg.ac.at

  • Contents of Presentation

    1 Introduction1. Introduction 2. Materials and Methods 3. Results 4 Summary4. Summary 5. Future Tasks

    07.10.2010 2PTFBPI 2010

  • 1 Outline

    • Use of sub-µm-computed tomography for theUse of sub µm computed tomography for the characterization of wood based panels

    • Determination of sample sizes for individual wood-• Determination of sample sizes for individual wood- based materials

    • Qualitative assessment of CT data• Qualitative assessment of CT data • Quantitative analysis to analyze the pore size

    di t ib ti f d b d ldistribution of wood based panels • Investigation of a relationship between pore structure

    d tiand properties

    07.10.2010 3PTFBPI 2010

  • 2.1 Materials

    • OSB• OSB • Particleboard • MDF

    – Stored under standard climate conditions – Measurment of density profileMeasurment of density profile – Vacuum packing for transportation

    purposes

    07.10.2010 4PTFBPI 2010

  • 2.2 Computed Tomographyp g p y

    phoenix|x ray Nanotom 180phoenix|x-ray Nanotom 180 Cone beamCone beam

    Detector X-ray source Sample

    Detector

    1500 projections Voltage between 60 kV and 85 kV Measurement time between100 und 230 minutes/scan

    07.10.2010 5PTFBPI 2010

    minutes/scan

  • 2.3 Image Analysisg y

    • Determination of Region of• Determination of Region of Interest (ROI)

    • Filtering for noise reductionreduction

    • Histogram based threshold y

    x

    stog a based t es o d depending on panel type

    07.10.2010 6PTFBPI 2010

  • 2.3 Image Analysisg y

    Mathematical MorphologyMathematical Morphology

    Erosion Dilation OpeningOpening

    07.10.2010 7PTFBPI 2010

  • 2.3 Image Analysisg y

    Principle of OpeningPrinciple of Opening DilatationErosion

    07.10.2010 8PTFBPI 2010

  • 2.3 Image Analysisg y

    Pore size distributionPore size distribution with a family of growing structuringgrowing structuring elements

    07.10.2010 9PTFBPI 2010

  • 3 Qualitative Results

    Panel Sample size [mm³] Achieved Resolution [µm/voxel edgePanel Sample size [mm ] Achieved Resolution [µm/voxel edge length]

    OSB 50 x50x18 31.1 PB 30x30x19 17.0 MDF 4x4x19 3.2

    07.10.2010 10PTFBPI 2010

  • 3 OSB

    Mean pore size: 424 µm

    0,14

    Mean pore size: 424 µm Γ-distributed

    0 10

    0,12

    0,08

    0,10

    ue nc

    y

    40332 mm³

    0,04

    0,06

    Fr eq 10485 mm³

    2628 mm³ 657 mm³

    0 00

    0,02 657 mm³

    0,00 0 1000 2000 3000 4000

    Pore Size [µm]

    07.10.2010 11PTFBPI 2010

  • 3 PB

    Mean pore size: 252 µm

    0,12

    Mean pore size: 252 µm Γ-distributed

    0,10

    0,06

    0,08

    ue nc

    y

    26229 mm³

    0,04

    ,

    Fr eq 19609 mm³

    2496 mm³ 314 mm³

    0 00

    0,02 314 mm³

    0,00 0 500 1000 1500 2000

    Pore Size [µm]

    07.10.2010 12PTFBPI 2010

  • 3 MDF

    Mean pore size: 27 µm

    0,30

    Mean pore size: 27 µm Γ-distributed

    0,25

    0,15

    0,20

    ue nc

    y

    38.4 mm³

    0,10

    0,15

    Fr eq

    u

    9.6 mm³ 2.4 mm³ 0 6 mm³

    0 00

    0,05 0.6 mm³

    0,00 0 50 100 150 200 250

    Pore Size [µm]

    07.10.2010 13PTFBPI 2010

  • 3 MDF

    Pore size as a functionPore size as a function of density

    40 45

    35

    40

    te d

    m ]

    m ]

    y = 0,0441x - 6,0765 R² 0 9532 25

    30 35

    30

    35

    co nn

    ec t

    er ia

    l [ µm

    Si ze

    [µ m

    R² = 0,9532

    15 20 25

    25

    si ze

    o f c

    w al

    l m at

    e

    n Po

    re S

    Pores

    y = -0,0339x + 52,047 R² = 0 6566

    5 1020

    M ea

    n s

    ce ll

    w

    M ea

    n Pores

    Cell wall material R² = 0,6566 015

    600 700 800 900 1000 Density [kg/m³]

    material

    07.10.2010 PTFBPI 2010 14

  • 4 Summaryy

    • Sub µm CT for the characterisation of• Sub-µm-CT for the characterisation of wood based panels

    • Determining the sample sizes for individual wood based materialsindividual wood-based materials

    • Qualitative assessment of CT dataQua tat e assess e t o C data • Quantitative analysis of the pore

    structure of wood based panels

    07.10.2010 15PTFBPI 2010

  • 5 Future Tasks

    • Evaluation of fiber and particle• Evaluation of fiber and particle orientation

    • Evaluation of mechanical properties related to microstructurerelated to microstructure

    • In-situ investigation of swelling and/ors tu est gat o o s e g a d/o shrinkage

    • CT based modeling of wood based panelspanels

    07.10.2010 16PTFBPI 2010

  • Acknowledgementsg

    The authors would like to acknowledgeThe authors would like to acknowledge financial support from the Austrian Research Promotion Agency (FFG) within the FHplus In Coin programmewithin the FHplus In Coin programme (Project number 198353).

    Thank you for your attention!Thank you for your attention!

    07.10.2010 17PTFBPI 2010