As the properties of sintered products are considerably affected by the microstructures formed during sintering, numerical turbo air m3f72-3-n 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 click here rigid-body motions of particles, which cause densification, and implement it on multiple GPUs in parallel.The simulation method enables three-dimensional 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.