Combining densification and coarsening in a Cellular Automata-Monte-Carlo simulation of sintering: Methodology and calibration

[Display omitted] •A hybrid CA-MC approach is developed to simulate sintering.•Local shrinkage mismatch are treated using the variational principle.•Simulation shows local mismatch hinders the densification. A hybrid Cellular Automata-Monte Carlo (CA-MC) approach is developed to simulate the sinteri...

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Bibliographic Details
Published inComputational materials science Vol. 143; pp. 338 - 349
Main Authors Wang, Xin, Atkinson, Alan
Format Journal Article
LanguageEnglish
Published Elsevier B.V 15.02.2018
Subjects
Cellular automata
Densification
Microstructure evolution
Modelling
Monte-Carlo
Sintering
Monte-Carlo
Modelling
Densification
Cellular automata
Sintering
Microstructure evolution
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Summary:[Display omitted] •A hybrid CA-MC approach is developed to simulate sintering.•Local shrinkage mismatch are treated using the variational principle.•Simulation shows local mismatch hinders the densification. A hybrid Cellular Automata-Monte Carlo (CA-MC) approach is developed to simulate the sintering of particulate materials. The approach embodies a new, and physically realistic, way of simulating densification by grain boundary diffusion and collapse that takes into account the stresses arising from interactions with neighbouring particles (grains) by minimising the stored energy and energy dissipation rate using the variational principle. The parameters in the CA-MC simulations are calibrated in terms of measurable physical quantities by simulating the sintering of two identical contacting spheres, for which analytical solutions are well known and widely accepted. The use of the model is illustrated by simulating the densification of a randomly packed assembly of spherical particles. This demonstrates that the interactions between particles significantly inhibits shrinkage compared with that of two isolated spheres.
ISSN:0927-0256
1879-0801
DOI:10.1016/j.commatsci.2017.11.023