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Multi-phase-field modeling and high-performance computation for predicting material microstructure evolution during sintering
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DOI：10.1016/j.jmrt.2024.12.171.png)
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As the properties of sintered products are considerably affected by the microstructures formed during sintering, numerical simulation is essential for predicting and controlling microstructures with high accuracy. Although the phase-field method can reproduce sintered microstructures with the highest accuracy, its high computational cost has limited the scale of computation. In this study, we develop a multi-phase-field (MPF) sintering model with a double-obstacle potential that is effective for large-scale simulations. We also establish an efficient algorithm on graphics processing unit (GPU) to accelerate the computations of rigid-body motions of particles, which cause densification, and implement it on multiple GPUs in parallel. The simulation method enables threedimensional large-scale MPF sintering simulations of approximately 160,000 Al2O3 particles on 1,2803 grid points, which is sufficiently large to reproduce a bulk sintering behavior. For the large-scale simulation results, the difference between near-surface and bulk sintering behaviors is discussed. The large-scale MPF sintering simulation method developed in this study is expected to contribute to the accurate prediction and control of sintered microstructures significantly.
Keyword:
Sintering
Material microstructure
Phase-field method
High-performance computing
GPU
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6.6
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1.7W
被引数:
6.8W
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分享收藏Computer modeling and simulation of solid-state sintering: A phase field approach固态烧结的计算机建模和仿真: 相场方法.png)
ACTA MATERIALIA
ACTA MATERIALIAIF9.3
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