2019
DOI: 10.1080/14786435.2019.1615149
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Influence of variable diffusion coefficient on solid-liquid interface migration kinetics during transient liquid phase bonding

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Cited by 9 publications
(5 citation statements)
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“…Instead, the diffusion coefficients vary with temperature based on the Arrhenius equation [6]. Moreover, the diffusion coefficient in the solid also varies with solute concentration, so it will be modeled with the concentration-dependent relation used by Ghanbar et al, [13] as shown in Eq. [7].…”
Section: A Governing Equationsmentioning
confidence: 99%
See 1 more Smart Citation
“…Instead, the diffusion coefficients vary with temperature based on the Arrhenius equation [6]. Moreover, the diffusion coefficient in the solid also varies with solute concentration, so it will be modeled with the concentration-dependent relation used by Ghanbar et al, [13] as shown in Eq. [7].…”
Section: A Governing Equationsmentioning
confidence: 99%
“…The future interface positions s1 nþ1 and s2 nþ1 are determined by using the interface solutions calculated with Eqs. [13] and [14], respectively. 4.…”
Section: Moving Boundary Equationsmentioning
confidence: 99%
“…The diffusion and moving boundary equations used to model the TLP processing in planar and non-planar systems are shown as follows [18]; …”
Section: Development Of the Numerical Modelmentioning
confidence: 99%
“…This method enables the model to adequately converge and improves its flexibility to analyse several boundary conditions in planar and non-planar systems, even in cases where the diffusion coefficient is not constant. A similar hybrid approach has been recently used by the present authors to study the influence of concentration and time dependency of diffusivity on the kinetics of solid–liquid interface migration in planar systems [18]. The hybrid approach allows the use of explicit finite difference method for the solid-state diffusion without sacrificing computational efficiency by enabling the solutions to be stable at relatively larger time steps.…”
Section: Development Of the Numerical Modelmentioning
confidence: 99%
“…It is important to state that, in many works related to Langmuir’s model, the authors considered constant mass diffusivity [ 22 , 23 , 24 , 25 , 26 ]. However, this assumption is not completely consistent with the real process behavior, since the moisture migration rates are higher at the shorter process times and decrease for longer times; therefore, mass diffusivity varies with the water concentration inside the material [ 27 ]. Even among the works that consider variable mass diffusivity (with the general Fick´s model), there are still few studies that established the mass diffusion coefficient as a function of the average moisture content [ 28 , 29 , 30 , 31 , 32 ], and almost none that consider mass diffusion coefficient as a function of the local moisture content inside the material.…”
Section: Introductionmentioning
confidence: 99%