2023 Fiscal Year Final Research Report
Development of next-generation integrated vibration simulator for highly accurate estimation of the vibrational damping capacity of a mechanical system
| Project/Area Number |
19K04284
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 20010:Mechanics and mechatronics-related
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| Research Institution | Fukuoka Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2019-04-01 – 2024-03-31
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| Keywords | 機械力学・制御 / 振動解析 / 分子動力学法 / 内部摩擦 / マルチスケール解析 |
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| Outline of Final Research Achievements |
The purpose of this study is to develop a vibration analysis method that can highly accurately estimate the vibration response of mechanical systems by modeling internal friction mechanisms, such as twinning and dislocations, in metallic materials. The crystal structure of the M2052 alloy, a manganese-based vibration-damping alloy, was modeled using the molecular dynamics (MD) method, and a neural network interatomic potential (NNP) based on deep learning was developed. The results of tensile test simulations using the MD method suggest that it is possible to develop an NNP that can accurately estimate the mechanical properties of the M2052 alloy. In the future, we plan to evaluate and improve the accuracy of the NNP by developing an MD model that takes twinning into account and estimating mechanical properties such as Young's modulus and the logarithmic damping ratio.
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| Free Research Field |
機械力学・制御
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では，金属材料の内部構造，周囲温度や圧力等の機械システムの運転環境を考慮した統合的振動解析法の開発が可能であることを示した．これは，CAE（Computer Aided Engineering）による複雑な機械システムの設計開発において，振動解析の位置づけを変化させるものであり，あらゆる環境下における機械システムの振動特性を実験せずに高精度に推定できるようになる．本研究で検討を進めている統合的振動解析法は，超小型機械や極限環境下での機械システムの開発等，様々な産業分野での応用が可能であると考えられる．
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