Prediction of Microstructure and Mechanical Property of Multiphase Steel using GPU-accelerated Phase-Field Method
Project/Area Number |
23760088
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Materials/Mechanics of materials
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Research Institution | Tokyo University of Agriculture and Technology (2012) Tokyo Institute of Technology (2011) |
Principal Investigator |
YAMANAKA Akinori 東京農工大学, 大学院・工学研究院, 准教授 (50542198)
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Project Period (FY) |
2011 – 2012
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Project Status |
Completed (Fiscal Year 2012)
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Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2012: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2011: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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Keywords | フェーズフィールド法 / 鉄鋼材料 / 材質予測 / GPGPU / 均質化法 / 有限要素法 / GPU / Phase-Field法 / マルチスケールモデル |
Research Abstract |
We developed a new numerical simulation method by combining the crystal plasticity finite element method, the GPU-accelerated multi-phase-field method and the homogenization method in order to predict microstructure formations and mechanical properties of high strength multiphase steels, such as dual-phase (DP) steel. In this study, using the developed method, we systematically investigated the austenite-to-ferrite transformation from the hot-deformed austenite phase and the uniaxial tensile deformation behavior of the DP steel on the basis of the microstructural morphology simulated by the multi-phase-field method.
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Report
(3 results)
Research Products
(42 results)
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[Journal Article] Peta-scale Phase-Field Simulation for Dendritic Solidification on the TSUBAME 2.0 Supercomputer2011
Author(s)
Takashi Shimokawabe, Takayuki Aoki, Tomohiro Takaki, Akinori Yamanaka, Akira Nukada, Toshio Endo, Naova Maruyama, Satoshi Matsuoka
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Journal Title
In Proceedings of ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC11), Gordon Bell Paper, ACM Press
Volume: 3
Pages: 1-11
DOI
Related Report
Peer Reviewed
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