2021 Fiscal Year Final Research Report
Elucidation of the mechanism of scalar transport in multi-scale grid turbulence and innovative mixing enhancement
Project/Area Number |
19K14891
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 19010:Fluid engineering-related
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Research Institution | Nagasaki University |
Principal Investigator |
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Project Period (FY) |
2019-04-01 – 2022-03-31
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Keywords | 乱流 / スカラー輸送 / 多目的最適化 / 直接数値計算 |
Outline of Final Research Achievements |
We have developed an algorithm for generate arbitrary grid geometries for the purpose which archives mixing enhancement and pressure reduction in multi-scale grid turbulence. We performed direct numerical simulations for various grid geometries and we found by means of data mining the trade-off relationship between mixing enhancement and pressure reduction. Our results indicate that grid configuration which increases the turbulent Reynolds number is important to promote mixing enhancement, while a reduction of grid solidity improves the reduction of pressure drop.
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Free Research Field |
流体工学
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Academic Significance and Societal Importance of the Research Achievements |
本研究の学術的意義は,機械学習などの情報技術を利用し,異なる形状のマルチスケール格子により生成された流れ場とスカラー輸送の関係性を整理し,乱流の持つ輸送能力の本質に迫ることである. 混合促進や圧力損失低減が可能となる格子形状の探索は,高性能混合デバイスや低圧力損失オリフィスなどの工業装置の開発といった社会的意義を有す.
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