Multi-phase-field modeling and high-performance computation for predicting material microstructure evolution during sintering
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 highes...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Journal of Materials Research and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785424029740 |
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| author | Aoi Nakazawa Shinji Sakane Tomohiro Takaki |
| author_facet | Aoi Nakazawa Shinji Sakane Tomohiro Takaki |
| author_sort | Aoi Nakazawa |
| collection | DOAJ |
| description | 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 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. |
| format | Article |
| id | doaj-art-0a1e2e54f1734f399be1ffbde30dc074 |
| institution | Kabale University |
| issn | 2238-7854 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj-art-0a1e2e54f1734f399be1ffbde30dc0742025-01-19T06:25:42ZengElsevierJournal of Materials Research and Technology2238-78542025-01-013418031816Multi-phase-field modeling and high-performance computation for predicting material microstructure evolution during sinteringAoi Nakazawa0Shinji Sakane1Tomohiro Takaki2Graduate School of Science and Technology, Kyoto Institute of Technology, Matsugasaki, Sakyo-ku, Kyoto, 606-8585, JapanFaculty of Mechanical Engineering, Kyoto Institute of Technology, Matsugasaki, Sakyo-ku, Kyoto, 606-8585, JapanFaculty of Mechanical Engineering, Kyoto Institute of Technology, Matsugasaki, Sakyo-ku, Kyoto, 606-8585, Japan; Corresponding author.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 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.http://www.sciencedirect.com/science/article/pii/S2238785424029740SinteringMaterial microstructurePhase-field methodHigh-performance computingGPU |
| spellingShingle | Aoi Nakazawa Shinji Sakane Tomohiro Takaki Multi-phase-field modeling and high-performance computation for predicting material microstructure evolution during sintering Journal of Materials Research and Technology Sintering Material microstructure Phase-field method High-performance computing GPU |
| title | Multi-phase-field modeling and high-performance computation for predicting material microstructure evolution during sintering |
| title_full | Multi-phase-field modeling and high-performance computation for predicting material microstructure evolution during sintering |
| title_fullStr | Multi-phase-field modeling and high-performance computation for predicting material microstructure evolution during sintering |
| title_full_unstemmed | Multi-phase-field modeling and high-performance computation for predicting material microstructure evolution during sintering |
| title_short | Multi-phase-field modeling and high-performance computation for predicting material microstructure evolution during sintering |
| title_sort | multi phase field modeling and high performance computation for predicting material microstructure evolution during sintering |
| topic | Sintering Material microstructure Phase-field method High-performance computing GPU |
| url | http://www.sciencedirect.com/science/article/pii/S2238785424029740 |
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