2023 Fiscal Year Final Research Report
AI aided turbulent combustion modeling based on advanced laser diagnostics and direct numerical simulation data science
| Project/Area Number |
20H00224
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Medium-sized Section 19:Fluid engineering, thermal engineering, and related fields
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
志村 祐康 国立研究開発法人産業技術総合研究所, エネルギー・環境領域, 主任研究員 (30581673)
源 勇気 東京工業大学, 工学院, 助教 (70769687)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | 乱流燃焼 / レーザ計測 / 直接数値計算 / AI支援モデリング / データサイエンス |
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| Outline of Final Research Achievements |
In this study, a turbulent combustion model and a flame-wall interaction heat transfer model was constructed as physical and mathematical models for Large Eddy Simulation (LES) of turbulent combustion, which is important for the design and development of highly efficient automobile engines and gas turbine combustors. For these models, AI technologies such as deep learning based on large-scale direct numerical simulations and cutting-edge laser measurement data were introduced. For the turbulent combustion model, an AI-assisted model that predicts the local Kolmogorov scale, etc. was introduced into the FDSGS combustion model that has been proposed by the principal investigator. For the flame-wall interaction heat transfer model, an AI-assisted model was developed that can predict the wall heat flux in the flame-wall interaction. Furthermore, turbulent combustion LES implemented with an AI model was also realized.
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| Free Research Field |
熱流体工学
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| Academic Significance and Societal Importance of the Research Achievements |
カーボンニュートラル実現には水素やアンモニア等の代替燃料やバイオ燃料の導入が必要であるが，それらの導入はエネルギーコストの増大を引き起こすと考えられる．エネルギーコストの低減には各種燃焼器の更なる高効率化が必要不可欠である．本研究では，高効率な自動車用エンジンやガスタービン燃焼器の設計・開発に必要不可欠な高精度な乱流燃焼モデルと火炎・壁面干渉熱伝達モデルの構築に焦点をあてた．本研究により開発されたAI支援型高精度モデルは今後高効率・低環境負荷燃焼器の開発に応用され，カーボンニュートラル実現に貢献することが期待される．
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