| Project/Area Number |
17K14587
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Fluid engineering
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Research Collaborator |
HASEGAWA Yosuke
FUKAGATA Koji
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| Project Period (FY) |
2017-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2017: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | 形状最適化 / 乱流 / 伝熱 / 数値シミュレーション / 実験 / 伝熱促進 / 抵抗低減 / 数値解析 / 実験計測 / 熱流体工学 / 熱交換器 |
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| Outline of Final Research Achievements |
A shape optimization algorithm of complex heat transfer surfaces for turbulent convective heat transfer was constructed and experimentally validated. In the present study, an adjoint-based shape optimization with the time-averaged governing equations, RANS, is combined with direct numerical simulations, viz., RANS-DNS hybrid approach.
The present algorithm was applied to conventional pin-fin and wavy-fin, respectively. As results reduction of the cost functional was numerically confirmed. The optimal shape is printed by resin 3D printer as a matrix for the substantiative experimental validation. With the single blow method and manometer measurements, the increase of performance was experimentally confirmed as well. By investigating the mechanism of the increased performance with optimal shape, it is found that the drag reduction is a key to higher-performance heat exchangers rather than the heat transfer enhancement since the heat transfer is essentially large in turbulent flows.
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| Academic Significance and Societal Importance of the Research Achievements |
非線形の強い乱流熱対流場での，随伴解析に基づく形状最適化は数理的困難を含む．しかし，今回開発したRANSとDNSを組み合わせる手法は乱流理論やコンピュータ能力の発達を背景に拡張性が非常に高く，今後さらに精度の高い形状最適化へと拡張されるポテンシャルを含んでいるため，学術的に非常に意義がある．また，乱流場での高効率な熱交換器の設計は環境負荷軽減に重要な役割を果たすため，非常に大きな社会的意義がある．
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