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    SINTERING THEORY

    BRIEF INTRODUCTION

    BY

    EUGENE A. OLEVSKY

    SAN DIEGO STATE UNIVERSITY, CALIFORNIA, USA

    2011 FAST

    Spring School

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    1. Science of Sintering: Fundamentals and

    Historical Development

    2. Classical Models of Sintering: Viscous and

    Diffusion Mechanisms of Mass Transport

    3. Continuum Modeling of Powder Consolidation

    4. Multi-Scale Modeling of Sintering5. Extrapolation of Sintering Concepts Towards

    Constitutive Modeling of SPS

    6. Sample SPS Problem Solutions

    7. Further prospects of sintering modeling

    SUMMARY

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    1. Science of Sintering: Fundamentals and

    Historical Development

    2. Classical Models of Sintering: Viscous and

    Diffusion Mechanisms of Mass Transport

    3. Continuum Modeling of Powder Consolidation

    4. Multi-Scale Modeling of Sintering5. Extrapolation of Sintering Concepts Towards

    Constitutive Modeling of SPS

    6. Sample SPS Problem Solutions

    7. Further prospects of sintering modeling

    SUMMARY

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    PHYSICAL BASIS OF SINTERING

    50 years to find out!

    Surface tension phenomena

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    PHYSICAL BASIS OF SINTERING

    Surface tension phenomena

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    Frenkel approach (1945) Pines approach (1946)

    pore(vacancies)

    coalescence of viscous particles

    driven by surface tension

    C Co 12

    r

    kT

    V2t

    E 2s

    evaporation of emptiness

    SINTERING THEORY

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    1. Science of Sintering: Fundamentals and

    Historical Development

    2. Classical Models of Sintering: Viscous and

    Diffusion Mechanisms of Mass Transport

    3. Continuum Modeling of Powder Consolidation

    4. Multi-Scale Modeling of Sintering5. Extrapolation of Sintering Concepts Towards

    Constitutive Modeling of SPS

    6. Sample SPS Problem Solutions

    7. Further prospects of sintering modeling

    SUMMARY

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    Mass Transport in Sintering

    From Swinkels and Ashby

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    Ashby Sintering Maps

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    COMPLEX SHAPE PARTS PRODUCED VIA

    POWDER METALLURGY ROUTE

    flange pulley

    palate expander parts foldable paper hole punch

    metal fiber filter for

    airbag inflators

    auto transmission sprockets

    camshaft sprocket

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    It was necessary to combine ideas of

    MECHANICS

    &

    MATERIALS SCIENCE

    The breakthrough happened in the end of 1980s

    Theory of Sintering: Practical Implementation

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    1. Science of Sintering: Fundamentals and

    Historical Development

    2. Classical Models of Sintering: Viscous and

    Diffusion Mechanisms of Mass Transport

    3. Continuum Modeling of Powder Consolidation

    4. Multi-Scale Modeling of Sintering5. Extrapolation of Sintering Concepts Towards

    Constitutive Modeling of SPS

    6. Sample SPS Problem Solutions

    7. Further prospects of sintering modeling

    SUMMARY

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    The Main Constitutive Relationship

    ( ) 1

    3ij ij ij L ij

    We e P

    W

    externally applied material resistance sinteringstresses

    Generalized

    viscosity:

    corresponds to the

    constitutive properties of

    particle material

    Effective sintering stress:

    function of porosity

    Strain rate component

    Bulk modulus:

    Resistance to the volume change

    function of porosity

    Shear modulus:

    Resistance to the shape change

    function of porosity

    Volume strain rate

    Olevsky E.A. (1998), Theory of sintering: from discrete to continuum. Review,Mater. Sci. & Eng. R: Reports, 40-100

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    Continuum Theory of Sintering

    ( ) 1[ ( ) ]

    3ij ij ij

    we

    w

    ij

    Without considering sintering stress

    is the ij component of the stress tensor;

    0( ) 2w w

    ( )

    ( )

    y

    m

    w

    w Aw

    Linear viscous (hot deformation of

    amorphous materials; free sintering)

    Plastic (cold pressing)

    Power-law creep (hot deformation of

    crystalline materials)

    effective stress( )w

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    3

    2

    2 (1 )

    3

    (1 )

    ( ) 1[ ( ) ]

    3ij ij ij

    we

    w

    Bulk modulus

    Shear modulus

    0 Shear viscosity of the fully-dense material

    2 21

    1w e

    Equivalent effective

    strain rate

    11 22 33iie volume change rate

    ij Kronecker delta

    2 2 2

    1 2 2 3 3 1

    1( ) ( ) ( )

    3

    Shape change rate

    Continuum Theory of Sintering

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    Including sintering stress:

    ( ) 1[ ( ) ]

    3ij ij ij l ij

    we p

    w

    lp The effective sintering stress

    Surface tension

    ij external stressFor free sintering, no external stress, 0ij

    2

    0

    3

    (1 )2lp r

    0r Radius of the particle

    Continuum Theory of Sintering

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    Problem of free sinter ing of a porous body

    For linear viscous phase

    ( ) 10 [ ( ) ]3

    ij ij ij l ijw e pw

    Projection on r direction: (a)

    0( ) 2w w

    0

    12 [ ( ) ]

    3r le p

    Projection on z direction: (b)01

    2 [ ( ) ]3

    z le p

    (a)*2+(b)0

    12 [ (2 ) 3( ) ] 3

    3r z le p

    0 02 2 3 3 2r z l l e e p p e

    Continuity equation

    1e

    Continuum Theory of Sintering

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    2

    0

    3

    00

    3

    (1 )2

    2 (1 )2 12

    3

    lp re

    s :Specific time of sintering

    1

    0 0

    9exp( )

    8s sdt

    r

    0 0 0 0 0 0

    9 9 9ln8 8 8

    dtr r r

    Continuum Theory of Sintering

    P i i i id di d f i t i f d li d

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    Pressing in rigid die and free sintering of a powder cylinder

    E. Olevsky, G. Timmermans, M. Shtern, L. Froyen, and L. Delaey, The permeable element method for

    modeling of deformation processes in porous and powder materials: Theoretical basis and checking byexperiments, Powd. Technol. - 93/2, 123-141 (1997)

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    Gravity Influence: Grain Segregation Effect

    E.A. Olevsky and R.M. German, Effect of gravity on dimensional change during sintering, II. Shape distortion,Acta Mater., 48, 1167-1180 (2000)

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    1. Science of Sintering: Fundamentals and

    Historical Development

    2. Classical Models of Sintering: Viscous and

    Diffusion Mechanisms of Mass Transport

    3. Continuum Modeling of Powder Consolidation

    4. Multi-Scale Modeling of Sintering5. Extrapolation of Sintering Concepts Towards

    Constitutive Modeling of SPS

    6. Sample SPS Problem Solutions

    7. Further prospects of sintering modeling

    SUMMARY

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    Sintering theory was traditionally

    developed either as the

    application of complex diffusion

    or viscous flow mechanisms to a

    simple geometry or as complex

    evolution of microstructure withsimple diffusion mechanisms. For

    example, the bulk modulus can

    be obtained from the solution of

    the problem of hydrostatic

    loading of the chosenrepresentative unit cell. The

    disadvantage of this model basis

    is the high degree of the

    idealization of the grain-pore

    structure.

    MULTI-SCALE MODELING OF SINTERING

    Idealized unit-cell used for the

    determination

    of the effective constitutive parameters

    strainvolume

    stresschydrostati~

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    Normalized shear modulus Normalized bulk modulus

    Kuhn & Downey 2

    3(2 (1 )2)(1 )

    2

    9(2 )(1 )

    for Green 2

    3

    (1 1/3 )2

    (3 21/ 4)(1 )

    8

    9

    (1 1/ 3) 2 ln 2

    (3 21/4)(1 )

    plastic Shima & Oyane 2

    9(1 )4

    2

    3

    (1 )9

    2.49 0 .514

    flow Doraivelu et al.2(2(1 )2 1)

    3(2 (1 )2)(1 )

    2(2(1 )2 1)

    9(2 )(1 )

    Skorohod (1 )2

    2

    3

    (1 )3

    Gurson (Doraivelu et al.

    approximation)

    2

    9

    1 3

    1 2

    2

    9

    1 3

    1 21

    2

    for Ponte Castaneda (1 )2 / ( m 1 )

    1 2 3

    27(1 )2 ( m 1 )

    8

    power-law Cocks (1 )2 / ( m 1 )

    1 2 3

    (m 1)(1 )(1 )2 ( m 1 )

    3

    creep Duva & Crow (1 )2 / ( m 1 )

    1 2 3

    2

    3

    1 m

    mm

    2 (m 1)

    (m is thecreep

    exponent)

    McMeeking & Sofronis 1

    1

    2 (m1)

    2

    3

    1 m

    mm

    2 (m 1)

    CONSTITUTIVE PARAMETERS OF MODELS FOR POROUS

    MATERIAL DENSIFICATION

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    grain growthchange pixel color

    We use a digitized microstructure

    pore migrationswap pixels

    Monte Carlo Model was used to simulate grain growth,

    vacancy diffusion and vacancy annihilation

    vacancy annihilationmove pixel out

    N

    i j

    ji qqE1

    8

    1

    ,12

    1Energy

    E. Olevsky, V. Tikare, and T. Garino, Multi-scale modeling of sinteringA Review,J. Amer. Ceram. Soc., 89 (6),1914-1922 (2006)

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    Mesoscale Simulation Using the Potts Model

    E. Olevsky, V. Tikare, and T. Garino, Multi-scale

    modeling of sintering A Review, J. Amer.

    Ceram. Soc., 89 (6), 1914-1922 (2006)

    E. A. Olevsky, B. Kushnarev, A. Maximenko, V.

    Tikare, and M. Braginsky, Modeling anisotropic

    sintering in nanocrystalline ceramics, Phil.

    Mag., 85, 2123-2146 (2005)

    V. Tikare, M. Braginsky, E. Olevsky, and D. L.

    Johnson, Numerical simulation of anisotropic

    shrinkage in a 2D compact of elongatedparticles, J. Amer. Ceram. Soc., 88, 1, 59-65

    (2005)

    M. Braginsky, V. Tikare, and E. Olevsky,

    Numerical simulation of solid state sintering,

    Int. J. Solids and Structures, 42, 621-636 (2005)

    E. Olevsky, B. Kushnarev, A. Maximenko, and

    V. Tikare, Modeling of sintering at multiplelength scales: anisotropy phenomena, TMS

    Letters, 3, 55-56 (2004)

    V. Tikare, M. Braginsky, and E.A. Olevsky,

    Numerical simulation of solid-state sintering: I,

    Sintering of three particles, J. Amer. Ceram.

    Soc., 86, 49-53 (2003)

    First publication:V. Tikare, E.A. Olevsky, and M.V. Braginsky,

    Combined macro-meso scale modeling of

    sintering, in: Recent Developments in Computer

    Modeling of Powder Metallurgy Processes, ed. A.

    Zavaliangos and A. Laptev, IOS Press, 85-104(2001)

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    Results: Simulation of Microstructural Evolution during

    Sintering

    Time, t = 0 MCS t = 2,000 MCS t = 50,000 MCS

    Digitized images can be mined for many types of data

    Vacancy anihilation: jump and shift algorithms

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    Diffusion mass

    transport

    Vacancy anihilation

    Potts Model

    Meso-Scale FEM

    Macro-Scale FEM

    Macroscopic shape distortions

    Density distribution

    Macroscopic damage

    Macroscopic stress-strain state

    Schematics of Multi-Scale Modeling

    Two possible approaches:

    Direct determination of the macroscopic constitutive

    parameters based on the mesoscale simulations.

    The macroscopic level envelopes the mesoscopic

    simulators.

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    CONSTITUTIVE PARAMETERS

    sintering stress bulk and shear moduli grain growth kinetics

    DETERMINATION

    Theoretical:Mesoscale Simulation

    Experimental:Sinter-forging and free

    sintering experiments

    Sintering Stress and Bulk Modulus Approximations

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    d

    c)1(

    3

    2

    26.0L )1(7.1P

    0

    20

    40

    60

    80

    100

    120

    0 0.05 0.1 0.15 0.2 0.25 0.3 0.35

    Porosity

    Bu

    lkModulus

    Normalized Bulk Modulus (Potts) Normalized Bulk Modulus (Skorohod)

    Normalized Bulk Modulus (approx)

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    1.4

    1.6

    1.8

    2

    0.7 0.75 0.8 0.85 0.9 0.95

    Relative Density

    Sintering

    Stres

    s

    Potts Model Approximation Skorohod Model

    Sintering Stress and Bulk Modulus Approximations

    Based on Mesoscale Simulations

    bL )1(aP

    12.1

    23.2)1(

    3

    2

    E. Olevsky, V. Tikare, and T. Garino, Multi-scale modeling of sinteringA Review,J. Amer. Ceram. Soc., 89 (6),1914-1922 (2006)

    Multi-Scale Virtual Reality of Powder Processing

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    Boundary conditions

    initial state current state

    each element

    at each time step

    Multi-Scale Virtual Reality of Powder Processing

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    Sample problem solution: sintering with inclusion

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    1. Science of Sintering: Fundamentals and

    Historical Development2. Classical Models of Sintering: Viscous and

    Diffusion Mechanisms of Mass Transport

    3. Continuum Modeling of Powder Consolidation

    4. Multi-Scale Modeling of Sintering5. Extrapolation of Sintering Concepts Towards

    Constitutive Modeling of SPS

    6. Sample SPS Problem Solutions

    7. Further prospects of sintering modeling

    SUMMARY

    MODELING OF SPS

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    Overwhelming majority of publications on SPS describe

    empiric trial-and-error attempts to consolidate various

    powder material systems.

    The conducted theoretical studies are mostly reduced

    to the modeling of temperature and electric current

    density distributions. In practically all of the

    publications the role of electrical field is narrowed downto the generation of Joule heat, which thereby reduces

    the theoretical framework, required for the description

    of shrinkage and grain growth, to the existing

    constitutive models of powder consolidation.

    Generic physically-based modeling concepts are

    currently in strong demand to enable the understanding

    and control of the thermal and field effects a

    distinguishing set of factors rendering different spark-

    plasma vs. conventional hot pressing and sinteringresults.

    MODELING OF SPS

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    Heating rate 20C/min

    60

    65

    70

    75

    80

    85

    90

    95

    100

    0 50 100 150 200 250 300 350 400 450

    Temperature (C)

    Relative

    density(%)

    FAST 450C-80 MPa

    FAST 400C-149 MPa

    FAST 350C- 229 MPa

    HP 450C-80 MPa

    HP 400C-275 MPa

    HP 350C -460 MPa

    Courtesy S. Kandukuri & L. Froyen

    Comparative study of SPS HP of hypereutectic Al-Si-Fe-X powder

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    electromigration

    (diffusion enhancement)

    electroplasticity

    (electron wind,

    magnetic depinning ofdislocations)

    dielectric breakdown of

    oxide films at grain

    boundaries ponderomotive forces

    pinch effect

    surface plasmons

    Field Effects in SPS

    high heating rates

    high local non-

    uniformities of

    temperature distribution

    (local melting andsublimation)

    macroscopic

    temperature gradients

    thermal diffusion

    thermal stresses

    Thermal Effects in SPS

    SPS: ENHANCEMENT OF MASS TRANSPORT

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    SPS: ENHANCEMENT OF MASS TRANSPORT

    E. Olevsky and L. Froyen, Constitutive modeling of spark-plasma sintering of conductive

    materials, Scrip ta Mater., 55, 1175-1178 (2006)

    E. Olevsky, S. Kandukuri, and L. Froyen, Consolidation enhancement in spark-plasma sintering:

    Impact of high heating rates, J. Ap p. Phys., 102, 114913-114924 (2007)

    E. Olevsky and L. Froyen, Influence of thermal diffusion on spark-plasma sintering, J. Amer.Ceram. Soc., 92, S122-132 (2009)

    electromigration(diffusion enhancement)

    electroplasticity

    (electron wind,

    magnetic depinning of

    dislocations) dielectric breakdown of

    oxide films at grain

    boundaries

    ponderomotive forces

    pinch effect surface plasmons

    Field Effects in SPS

    high heating rates high local non-

    uniformities of

    temperature distribution

    (local melting and

    sublimation) macroscopic

    temperature gradients

    thermal diffusion

    thermal stresses

    Thermal Effects in SPS

    Mi h i l M d l

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    Micromechanical Model

    E. A. Olevsky, B. Kushnarev, A.

    Maximenko, V. Tikare and M.

    Braginsky, Modelling of

    anisotropic sintering in crystalline

    ceramics, Philosophical Magazine,

    85, (19), 2123-2146 (2005)

    2

    p

    a

    p

    cr

    a

    2

    p

    c

    p

    ar

    c

    2

    1 2 3x x x xb y b y b

    2

    1 2 3y y y yb x b x b

    0

    sin

    2

    ap

    xx

    c cdx c

    c

    ( ) ;xc

    cr

    0 0 0xx yy

    22 33 1 1 3 3 1 1 3

    sin sin2 2 2 2 2 2 2

    x xx p p

    c c

    c c y c cc r c c c r c

    where is the surface tension, is the dihedral angle, a and c

    are the grain semi-axes; x - effective (far-field) external stress in

    the x-direction (compressive x is negative). Parameter

    px

    c c

    c

    is a local stress on the grain boundary (

    pc c

    c

    is the

    stress concentration factor).

    23 1 1

    sin2

    gb gb pxgbx

    cp p

    D c c

    kT c r c c a a c c

    gb gbgb xy

    DJ

    kT y

    ( )

    2

    gb

    y

    gbx

    p p

    J c

    a a c c

    gb

    yJ is the flux of matter in the direction of the

    axis ycaused by the grain boundary diffusion,

    gbD is the coefficient of the grain boundary

    diffusion,gb

    is the grain boundary thickness,

    k Boltzman constant; T absolutetemperature.

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    Influence of High Heating Rates

    Experimentally, it has been shown in a number of investigations that

    an increase in heating rate considerably increases the consolidation

    rate of conductive and non-conductive powders during SPS. For example, it was shown for an alumina powder (Zhou et al.) that

    the increase of heating rate from 50 to 300C/min with the same

    maximum temperature and the corresponding six time decrease of

    sintering time allowed obtaining the same final density. Physically,

    this was attempted to be explained as a result of the existence of

    additional defects in the material directly related to high heating ratesand short time of the process. They could be initial biographic

    defects resulting from processes of powder synthesis (Ivensen or

    defects in grain-boundaries between particles (Dabhade et al.).

    Gillia and Bouvard have conducted a series of fundamental

    comparative experiments on sintering of WC-Co powder system with

    different heating cycles. They employed cycles with the same average

    heating rate but with various temperature histories (by employing

    sequences of steady ramps and isothermal periods). Their results

    indicate the dependence of the densification rate on the average

    heating rate but no dependence on the temperature history.

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    Influence of High Heating Rates

    E. Olevsky, S. Kandukuri, and L. Froyen, Consolidation

    enhancement in spark-plasma sintering: Impact of high

    heating rates,J. App. Phys. 102, 114913-114924 (2007)

    For an aluminum alloy

    powder

    , ,x gbx crx f G

    4

    22

    4 2

    31 1 1

    8

    s sD

    kTG

    x = e =

    1-

    3

    1.3400fd GG G

    G

    G is the porous materials grain growth rate, 0fdG

    is the grain growth rate of the fully-dense materialwith the grain size 0G , 0G is the initial grain size of

    the porous (powder) material

    Du and Cocks

    4 16.67 10 3.55 10

    0

    fd fd TG G t

    Beck et al. fdG is the current grain size of the fully-densematerial; 0

    fdG is the initial grain size of the fully-

    dense material; tis time, s; and Tis temperature, K

    3

    4 1.3400

    1 235 /6.67 10 ln , 533

    0, 533

    GK sG if T K

    G K G

    if T K

    dT

    dt = constis the heating rate, K/s

    Influence of High Heating Rates

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    Influence of High Heating Rates

    0.05

    0.10

    0.15

    0.20

    0.25

    0.30

    0.35

    0 1000 2000 3000

    Time, s

    Porosity

    200C/min

    100C/min

    50C/min

    25C/min

    10C/min

    For aluminum powder

    Influence of High Heating Rates

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    Influence of High Heating Rates

    -4.E-03

    -3.E-03

    -2.E-03

    -5.E-04

    150 250 350 450 550

    Temperature, C

    ShrinkageRate,1

    /s

    200C/min

    100C/min

    50C/min

    25C/min

    10C/min

    -7.E-03

    -5.E-03

    -3.E-03

    -1.E-03

    150 250 350 450 550

    Temperature, C

    ShrinkageR

    ate,1/s

    200 C/min

    100 C/min

    50 C/min

    For aluminum powder

    Model

    Experiment

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    Influence of Thermal Diffusion

    J is the vacancy flux, D is the coefficient ofdiffusion, vC is the vacancy concentration,

    vC is the vacancy concentration gradient,*Q is the heat of vacancy transport, T is thetemperature gradient.

    *

    v v

    Q TJ D C C

    kT T

    Influence of Thermal Diffusion

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    Influence of Thermal Diffusion Ludwig-Soret effect of thermal diffusion causes concentration gradients in

    initially homogeneous two-component systems subjected to a temperature

    gradient.

    J. Chipman, The Soret effect, Journal of the American Chemical Society, 48, 2577-2589 (1926)

    For the case of atomic and vacancy diffusion in crystalline solids, this effect

    was studied by a number of authors including its theoretical interpretation by

    Shewmon and Schottky.

    P. Shewmon, Thermal diffusion of vacancies in zinc, Journal of Chemical Physics, 29, (5), 1032-1036 (1958)

    G. Schottky, A theory of thermal diffusion based on lattice dynamics of a linear chain, Physica Status Solidi, 8, (1),

    357 (1965)

    For the electric-current assisted sintering, the effect of thermal diffusion wasanalyzed by Kornyushin and co-workers. Later, for rapid densification, the role

    of temperature gradients was studied by Searcy and by Young and McPherson.

    Y. V. Kornyushin, Influence of external magnetic and electric-fields on sintering, structure and properties, Journal of

    Materials Science, 15, (3), 799-801 (1980)

    A. W. Searcy, Theory for sintering in temperature-gradients - role of long-range mass-transport, Journal of the

    American Ceramic Society, 70, (3), C61-C62 (1987)

    R. M. Young and R. McPherson, Temperature-gradient-driven diffusion in rapid-rate sintering, Journal of theAmerican Ceramic Society, 72, (6), 1080 (1989)

    Johnson argued against thermal diffusion significance in microwave sintering

    D. L. Johnson, Microwave-heating of grain-boundaries in ceramics, Journal of the American Ceramic Society, 74, (4),

    849-850 (1991)

    We demonstrate a possible significance of thermal diffusion for SPSE. Olevsky and L. Froyen, Influence of thermal diffusion on spark-plasma sintering, J. Amer. Ceram. Soc. 92, S122-

    132 (2009)

    Influence of Thermal Diffusion

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    ue ce o e us oJ is the vacancy flux, D is the coefficient ofdiffusion,

    vC is the vacancy concentration,

    vC is the vacancy concentration gradient,*

    Q is the heat of vacancy transport, T is thetemperature gradient.

    *

    v v

    Q TJ D C C

    kT T

    2v fC HC T

    kT

    *v fDC T

    J H QkT T

    *

    m fQ H H

    Schottky:

    Young &McPherson:

    Wirtz:

    Kornyushin:

    mH is the enthalpy of vacancy migration;

    fH is the enthalpy of vacancy formation

    vm

    DC TJ H

    kT T

    ;

    v m f TT

    C H HJ D T

    k T T

    did not include the term vC ! Otherwise:

    T is the thermal diffusion ratio ( T is

    the spatial average of temperature)

    v mT

    C H

    k T We re-define:

    TdivJ D T T

    The driving force for

    the vacancy migration:

    T

    TT q

    dt

    C

    Heat transfer equation:

    T is the thermal conductivity; C is

    heat capacity; t is time; and q is the

    heat production per unit volume of thematerial and per unit time, which in thecase of SPS can be represented as

    2

    eq E , where e is the specificelectric conductivity, and E is theelectric field intensity2T

    e

    T

    TdivJ D E

    T t

    C

    Influence of Thermal Diffusion

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    22 2gb Ttd gb gb eT

    TJ divJ G D E G

    T t

    C2T e

    T

    TdivJ D E

    T t

    C

    2

    2 2

    2

    gbgb gb Ttd td

    gbx e

    Tp p

    DJ T GE

    T tG r G r

    C

    _ ,gbx gbx

    curvature driven th diffusion driven

    x crx f G

    x

    = e =

    1-

    3

    10 1.3401.5 10 /G

    G m sG

    E. Olevsky and L. Froyen, Influence of thermal diffusion on spark-plasma sintering, J. Amer. Ceram. Soc. 92, S122-132 (2009)

    T is the thermal conductivity; C is

    heat capacity; t is time; and q is the

    heat production per unit volume of thematerial and per unit time, which in thecase of SPS can be represented as

    2

    eq E , where e is the specificelectric conductivity, and E is theelectric field intensity

    is porosity; G is the average grain size

    Influence of Thermal Diffusion

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    25

    125

    225

    325

    425

    525

    625

    0 200 400 600 800 1000

    Time, s

    Temperatu

    re,C

    0.00

    0.05

    0.10

    0.15

    0.20

    0.25

    0.30

    0.35

    Porosity

    Temperature

    Porosity - Model

    Porosity - Experime nt

    25

    207

    389

    571

    753

    936

    1118

    1300

    0 70 141 211 281 352 422

    Time, s

    Temperatu

    re,

    C

    0.00

    0.05

    0.10

    0.15

    0.20

    0.25

    0.30

    0.35

    0.40

    0.45

    Porosity

    Temperature

    Porosity - Model

    Porosity - Experiment

    Porosity kinetics during SPS of aluminum

    powder. Comparison of the developed model

    taking into account the impact of thermal

    diffusion with experimental data of Xie et al.,

    Effect of interface behavior between particles on

    properties of pure al powder compacts by spark

    plasma sintering, Materials Transactions, 42, (9),1846-1849 (2001)

    Porosity kinetics during SPS of alumina powder.

    Comparison of the developed model taking into

    account the impact of thermal diffusion with

    experimental data of Shen et al., Spark plasma

    sintering of alumina, J. Amer. Ceram. Soc., 85, (8),

    1921 (2002)

    3

    2

    11

    2 223

    4 24

    0

    2

    2

    2

    3 32 129 2 23

    1 4 1 9 1 2 exp 1

    3 2

    2 1

    m

    m m

    xx

    gb gb ref

    gbx

    cr

    gb gb v m

    e

    T

    G G

    D G

    QkTGA G

    RT

    D C H TE

    t Gk T

    C

    curvature-driven grain boundary diffusion thermal diffusion power-law creep

    Influence of Thermal Diffusion

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    The intensity of thermal diffusion increases for

    higher pulse frequencies.

    The thermal diffusion promotes components

    (atoms and vacancies) separation. At early stagesof sintering, this should lead to the growth of

    inter-particle necks, which corresponds to the

    enhancement of sintering. At the final stages of

    sintering, however, the pores may serve as

    vacancy sinks under thermal diffusionconditions, which impedes sintering.

    It is possible that the increased pulse frequencies

    enhance sintering at the early stages of SPS and

    hinder sintering at the late stages of SPS

    process. In some experimental studies the pulse frequency

    was found to have a limited impact on SPS

    results - its contributions at early and late stages

    of SPS could offset each other.

    TJ D TT

    E. Olevsky and L. Froyen, Influence of thermal diffusion on spark-plasma sintering, J. Amer. Ceram. Soc. 92, S122-132 (2009)

    Major Components of Densification-Contributing Mass

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    Transfer During SPS (model including electromigration):

    EC C J E

    Nernst-Einstein equation

    grain-boundary diffusion power-law creep

    driving sources

    externally applied load

    sintering stress

    electromigration

    *gb gb

    E q

    D

    C Z ekT

    Blechs formula

    gb gbD

    CkT

    where is the atomic volume, *Z is the valence of a migrating ion, and qe is

    the electron charge (the product*

    qZ e is called the effective charge).

    *1gb gbgb xy q

    D UJ Z e

    kT l y

    U and l are the electric potential and the characteristic length along theelectric field.

    ( )

    2

    gb

    y

    gbx

    p

    J c

    ca a

    *

    2 2

    3 1 1

    2

    gb gb q pxgbx

    pp

    D Z e G rU

    kT l G r G GG r

    is the surface tension, x - effective (far-field) external stress in the x-

    direction

    G a c is the grain size, p p pr a c is the pore radius.

    M. Scherge, C.L. Bauer, and W.W. Mul l ins,

    Acta Met. Mater., 43 (9), 3525-3538 (1995):

    electromigration stress of 23MPa along grain

    boundaries under an electric field of 500 V/m (in a 1-

    thick film) and up to GPa range stresses for grain

    structures with closed surface junctions

    M.R. Gun go r and D. Marou das, Int. J. Fractur e,

    109 (1), 47-68 (2001): electromigration stress of

    140MPa in a 1 -thick film under the field of about 425

    V/m

    Q.F. Duan and Y.L. Shen , J. Appl . Phys . 87 (8),

    4039-4041 (2000): electromigration stress of

    450MPa along fast-diffusion length of 15 under 650

    V/m

    Z . Suo , Q . Ma, and W.K . Meyer , MRS

    Symposi um Pr oceed in g s, 6p . (2000):

    electromigration stress in 0.5 -thick Al film under 300V/m field should reach the level of 1.5GPa

    C tit ti M d l f S k Pl Si t i

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    5

    2

    1

    3*

    2 2

    2 2

    3 1 1 3 31 1

    2 22

    m

    gb gb q p xx gbx cr x x

    pp

    D Z e G r UA

    GkT l G r G G G r

    G is the grain size; pr is the pore radius; A and m are power-law creep frequencyfactor and power-law creep exponent, respectively; gbD is the coefficient of the

    grain boundary diffusion, gb is the grain boundary thickness, kis the Boltzmans

    constant, T is the absolute temperature; is the atomic volume, *Z is thevalence of a migrating ion, and qe is the electron charge (the product

    *

    qZ e is

    called the effective charge); U and l are the electric potential and the

    characteristic length along the electric field; is the surface tension; x -

    effective (far-field) external stress in the x-direction; is porosity.

    E. Olevsky and L. Froyen, Constitutive modeling of spark-plasma sintering of conductive materials, Scripta Mater. 55, 1175-1178 (2006)

    shrinkage due to grain-boundary diffusion

    shrinkage due to dislocation creep

    Constitutive Model of Spark-Plasma Sintering

    C t ib ti f diff t f t t h i k d SPS

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    Densification map for aluminum powder,T=673K, =28.3MPa

    Contribution of different factors to shrinkage under SPS

    E. Olevsky and L. Froyen, Constitutive modeling of spark-

    plasma sintering of conductive materials, Scripta

    Mater. 55, 1175-1178 (2006)

    1.E-10

    1.E-07

    1.E-04

    1.E-01

    1.E+02

    1.E+05

    1.E+08

    0.00 0.10 0.20 0.30 0.40 0.50 0.60

    Porosity

    ShrinkageR

    ate,1/s

    shrinkage rate due to electromigration (electric current)

    shrinkage rate due to sintering stress (surface tension)

    shrinkage rate due to power-law creep (punch load)

    1.E-10

    1.E-07

    1.E-04

    1.E-01

    1.E+02

    1.E+05

    1.E+08

    0.00 0.10 0.20 0.30 0.40 0.50 0.60

    Porosity

    ShrinkageR

    ate,1/s

    shrinkage rate due to electromigration (electric current)

    shrinkage rate due to sintering stress (surface tension)

    shrinkage rate due to power-law creep (punch load)

    1.E-10

    1.E-07

    1.E-04

    1.E-01

    1.E+02

    1.E+05

    1.E+08

    0.00 0.10 0.20 0.30 0.40 0.50 0.60

    Porosity

    ShrinkageR

    ate,1/s

    shrinkage rate due to electromigration (electric current)

    shrinkage rate due to sintering stress (surface tension)

    shrinkage rate due to power-law creep (punch load)

    Grain Size: 1Grain Size: 40Grain Size: 100nm

    0

    0.05

    0.1

    0.15

    0.2

    0.25

    0.3

    0.35

    1.E-08 1.E-07 1.E-06 1.E-05 1.E-04

    Grain Size, m

    Porosity

    external load

    surface tension

    electromigration

    Contribution of different factors to shrinkage rate of aluminum powder under SPS

    417U Vl m

    , T=6730K, x =28.3MPa

    Shrinkage kinetics during SPS of aluminum powder:

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    The average particle size is 55m. The applied field is accepted to be of

    500V

    m(Joule heat generation balancebased estimation), the pressure is

    constant and equal to 23.5 MPa.

    Shrinkage kinetics during SPS of aluminum powder:

    comparison with experiments

    Pressure 10 MPa

    Field 250 V/m

    10 MPa

    250 V/m

    E. Olevsky and L. Froyen, Constitutive modeling of spark-plasma sintering of conductive materials, Scripta Mater. 55, 1175-1178 (2006)

    SUMMARY

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    1. Science of Sintering: Fundamentals and

    Historical Development2. Classical Models of Sintering: Viscous and

    Diffusion Mechanisms of Mass Transport

    3. Continuum Modeling of Powder Consolidation

    4. Multi-Scale Modeling of Sintering5. Extrapolation of Sintering Concepts Towards

    Constitutive Modeling of SPS

    6. Sample SPS Problem Solutions

    7. Further prospects of sintering modeling

    SUMMARY

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    (elV) 0

    CpT

    t

    (kT T) el V2

    ij (W)

    Wij

    .

    1

    3

    e

    .

    ij

    PLij

    .

    1 e

    .

    Conductive DC

    Heat Transfer

    by Conduction

    Stress-Strain

    Analysis

    Densification

    Coupled electro-thermo-mechanical FEM calculations

    TEMPERATURE DISTRIBUTION DURING SPS

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    prismatic die

    temperature temperature gradient

    temperature temperature gradient

    cylindrical die

    TEMPERATURE DISTRIBUTION DURING SPS

    SPS SCALABILITY (SIZE DEPENDENCE)

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    ( )

    Size 1 Size 2 Size 3 Size 4

    SampleHeight[mm] 4 8 12 16Radius[mm] 7.5 15 22.5 30

    DieHeight[mm] 30 60 90 120Radius[mm] 15 30 45 60

    PunchHeight[mm] 20 40 60 80

    RamHeight[mm] 40 80 120 160Radius[mm] 40 80 120 160

    Alumina Disk-Shape Specimens (Same Aspect Ratio):

    experimental verification

    (size 2):

    temperature evolution porosity evolution

    SPS SCALABILITY (SIZE DEPENDENCE)

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    SPS SCALABILITY (SIZE DEPENDENCE)

    SPS SCALABILITY (SIZE DEPENDENCE)

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    SPS SCALABILITY (SIZE DEPENDENCE)

    -1.00

    -0.80

    -0.60

    -0.40

    -0.20

    0.00

    0.20

    0.40

    0.015 0.030 0.045 0.060

    (Porosity(Cent

    er)

    Porosity(Surface))/SampleRadius

    Die Radius [m]

    Porosity Gradient

    0.219

    0.106

    0.216

    0.187

    0.195

    0.153

    0.175

    0.140

    SPS SCALABILITY (SIZE DEPENDENCE): GRAIN GROWTH

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    SPS Setup Geometry

    Grain Size Evolution at Sample Center Grain Size Evolution at Sample Surface

    Plane used for

    displaying results

    Die

    Ram

    Punch

    Ram

    Grain Size Gradient

    0.0E+00

    5.0E-09

    1.0E-08

    1.5E-08

    2.0E-08

    2.5E-08

    3.0E-08

    3.5E-08

    0.015 0.030 0.045 0.060

    (GrainSize(Cente

    r)

    GrainSize

    (Surface))/Sam

    pleRadius

    Die Radius [m]

    SUMMARY

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    1. Science of Sintering: Fundamentals and

    Historical Development2. Classical Models of Sintering: Viscous and

    Diffusion Mechanisms of Mass Transport

    3. Continuum Modeling of Powder Consolidation

    4. Multi-Scale Modeling of Sintering5. Extrapolation of Sintering Concepts Towards

    Constitutive Modeling of SPS

    6. Sample SPS Problem Solutions

    7. Further prospects of sintering modeling

    SUMMARY

    F rther prospects

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    Development of on-line sintering damagecriteria

    Modeling of nano-powder sintering

    Modeling of sintering with phase

    transformations or chemical reactionsModeling of field-assisted sintering

    Development of sintering optimization

    approaches

    Multi-scale modeling of sintering

    Further prospects