| 研究課題/領域番号 |
22K14139
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| 研究機関 | 東京大学 |
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研究代表者 |
ブリフォ ファビャン 東京大学, 大学院工学系研究科(工学部), 特任助教 (70836890)
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| 研究期間 (年度) |
2022-04-01 – 2024-03-31
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| キーワード | DIC / Fatigue / Ti-6Al-4V / crack initiation / macrozone |
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| 研究実績の概要 |
The main objective of this research is to elucidate cold dwell fatigue mechanisms in Ti6Al-4V alloys in comparison with pure fatigue through a combination of in-situ observationsand numerical simulations. The specific progresses are described below:
(1)A High-resolution strain mapping method based on the digital image correlation of surface nano-scale pattern produced by gold nanolayered film through vapor-assisted remodeling was developed.
(2)An automated framework for identifying slip system and assessing strain localization of slip bands termed ASSISL (automated Slip System Identification and Strain Localization analysis of slip bands) was developed.
(3)The framework was applied to quantifying the differences in strain partitioning between pure and dwell fatigue.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
1: 当初の計画以上に進展している
理由
As originally planned, we were able to experimentally quantify strain partitioning in Ti-6Al-4V alloy under pure fatigure and dwell fatigue. The developed automated procedure allowed us to save a significant time in the large data produced by HR-DIC.
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| 今後の研究の推進方策 |
In the future, the microstructures observed experimentally by EBSD and DIC will be directly used as a numerical model using the crystal plasticity finite element method. The microstructures will be subjected to the same loading conditions as in experiments and direct comparison will be made between the experimental and numerical strain fields to clarify the predictive capabilities of the numerical method and identify fatigue criteria to predict fatigue crack initiation.
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| 次年度使用額が生じた理由 |
1. Because of the Covid situation, the applicant could not attend any international conference in FY2022.The applicant applied to an international conference in the US (ICF15, Atlanta) for the FY2023. The budget will partly be used to cover the travel expense.
2. The cost of specimen machining and AE system (sensor, HDD) was lower than expected. The remaining budget will be used to buy additional license tokens for the FEM simulations and use Amazon Web Service to accelerate the simulations.
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