| Project/Area Number |
20K14604
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 18010:Mechanics of materials and materials-related
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| Research Institution | The University of Tokyo |
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Principal Investigator |
Briffod Fabien 東京大学, 大学院工学系研究科(工学部), 特任研究員 (70836890)
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| Project Period (FY) |
2020-04-01 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2021: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2020: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | Crystal plasticity / Finite Element Method / Dual-phase steels / X-CT / Ductile failure / Finite element method |
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| Outline of Research at the Start |
The purpose of this research is to develop a microstructure-sensitive framework for the prediction of the complete mechanical response of multi-phase metallic materials up-to-failure through combining crystal plasticity simulations and in-situ X-CT tensile tests.
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| Outline of Final Research Achievements |
In this research, a method for predicting the mechanical response of multi-phase material up-to-failure was proposed using the crystal plasticity finite element method. We developed a new approach for the modeling of mutli-phase materials by statistical means. A non-local crystal plasticity model taking into account damage initiation and evolution was developed. A new procedure based on the extraction of the local stress-strain path of experimentally observed void was proposed for the accurate calibration of the damage model parameters. The approach was tested against multiple dual-phase steels with varying microstructures. The estimated fracture loci were found to be similar for the different microstructures suggesting similar intrinsic properties and confirming the robustness of the calibration procedure.
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| Academic Significance and Societal Importance of the Research Achievements |
The proposed framework is general and modular, and is applicable to a wide variety of materials. By carefully calibrating the model, it is also possible to predict the behavior of other materials without experimental testing and thus accelerating the development of alloys with improved properties.
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