Project/Area Number |
23KF0115
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Research Category |
Grant-in-Aid for JSPS Fellows
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Allocation Type | Multi-year Fund |
Section | 外国 |
Review Section |
Basic Section 26050:Material processing and microstructure control-related
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Research Institution | Kyoto University |
Principal Investigator |
辻 伸泰 京都大学, 工学研究科, 教授 (30263213)
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Co-Investigator(Kenkyū-buntansha) |
ZHAO GUOHUA 京都大学, 工学研究科, 外国人特別研究員
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Project Period (FY) |
2023-07-26 – 2025-03-31
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Project Status |
Granted (Fiscal Year 2023)
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Budget Amount *help |
¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 2024: ¥400,000 (Direct Cost: ¥400,000)
Fiscal Year 2023: ¥800,000 (Direct Cost: ¥800,000)
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Keywords | Crystal plasticity / Analytical modelling / in-situ synchrotron XRD / titanium alloys / mechanical properties |
Outline of Research at the Start |
This research integrates plasticity modelling and in-situ synchrotron X-ray diffraction (XRD) to predict and control the in-service performance of titanium alloys as a structural element, providing an experimentally-enhanced ICME (Integrated Computational Materials Engineering) strategy .
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Outline of Annual Research Achievements |
PLASYN project integrates plasticity modelling and in-situ synchrotron X-ray diffraction to predict and control the in-service performance of titanium alloys as a structural element, providing an experimentally-enhanced ICME (Integrated Computational Materials Engineering) strategy. In 2023, the following research activities were carried out. WP1 Mechanism-driven Modelling: The physics-based analytical modelling was coupled with crystal plasticity numerical simulation to study the microstructural evolution and strain-hardening of Ti-12Mo-0.3O (wt. %) alloy that showed excellent combination of strengthen and ductility stemming from the simultaneous TWIP (Twinning-induced Plasticity) and TRIP (Transformation-induced Plasticity) effects. The dislocation-based constitutive model for the metastable bcc Ti alloys was implemented to DAMASK (Duesseldorf Advanced Material Simulation Kit) for crystal plasticity modelling. WP2 Synchrotron Investigation: The experimental data of the Ti-12Mo-0.3O alloy from the in-situ synchrotron XRD measurement at the BL13XU beamline of SPring-8 has been generated and analysed. Important material information, e.g. evolution of the martensite volution fraction and lattice parameters upon tensile loading, was revealed and contributed as key input to the analytical model. WP3 Integration: In the upcoming work, the crystal plasticity modelling and the key experimental data from the in-situ synchrotron measurement will be integrated to deeply understand and control the mechanical properties and in-serve performance of the emerging engineering alloys.
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Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The research works have progressed successfully, and milestones originally set in the research proposal could be achieved in FY 2023. The project so far involved three major progresses: (i) The polycrystal microstructure model with Voronoi Tessellation was generated, which account for the key experimental data e.g. grain size, crystallographic texture and phase constituents of the TWIP and TRIP Ti alloys. (ii) The polycrystal model was successfully processed by the grid solver of DAMASK, which is based on the FFT (Fast Fourier Transform) numerical solver. (iii) The output of crystal plasticity simulation, e.g. stress-strain curve, strain-hardening rate and microstructural evolution was further compared with results from the analytical modelling, where the simulation method showed its advantage in solving crystallographic texture evolution and providing accurate description of the strain-hardening rate. Challenges to be addressed: The dislocation density based constitutive model consists of a large amount of variable and parameters which make the model accurate and physically feasible. However, to run a crystal plasticity simulation with high degree of complexity, it could be computational expensive and time consuming. Potential solution is to use reduce the mesh density for faster processing. Purchasing advanced computers with higher performance CPU and GPU would also be beneficial to the research project.
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Strategy for Future Research Activity |
As the research has progressed smoothly, the plan set in the original proposal should be carried out in the second year. It is expected to obtain valuable information of TWIP and TRIP by calibrating the experiments with simulations from the developed multi-scale and multi-physics constitutive model. Specifically: 1.Further update the crystal plasticity model in order to predict the evolution of lattice parameters upon tensile deformation, for the purpose of providing deep understanding of the strain-induced bcc to orthorhombic martensitic transformation in the metastable Ti alloys. 2.Analysis the experimental data, including the volume fraction of martensitic phase and lattice parameters of each phase, generated from the in-situ synchrotron XRD measurement. Seek to combine the data to the dislocation density-based model as key input. 3.Integrate the computational and experimental results to build a comprehensive understanding of the mechanical properties, deformation mechanisms and in-service performance of the TWIP and TRIP Ti alloys. The developed methodology and framework will be extended to broader alloy systems so as to serve broader engineering applications.
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