2021 Fiscal Year Final Research Report
High-accuracy prediction of skin friction by utilizing wall shear stress sensing
| Project/Area Number |
19K14899
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 19010:Fluid engineering-related
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| Research Institution | Tokyo University of Science (2021)
Japan Aerospace EXploration Agency (2019-2020) |
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Principal Investigator |
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| Project Period (FY) |
2019-04-01 – 2022-03-31
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| Keywords | 壁面摩擦力 / 非点収差PTV / オイルフィルム / 壁面せん断応力 / 3次元3成分流速計測 |
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| Outline of Final Research Achievements |
In this study, we devised the quantification technique of skin friction by measuring inside the oil film by astigmatism PTV (APTV). An oil film was painted on the bottom surface of a rectangular channel, and the three-dimensional velocity distribution inside oil film was measured by APTV. The skin friction force was then quantified from the velocity distribution. In this study, measurements were conducted by varying the Reynolds number in various range, and the results were compared with those obtained by conventional friction force measurement techniques.
Moreover, the calibration procedure of APTV using neural network technique was also devised in this study. The devised technique could determine the particles' depth position with small errors, and we thus concluded that the the technique is valid for three-dimensional velocity measurement inside oil film.
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| Free Research Field |
流体工学
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| Academic Significance and Societal Importance of the Research Achievements |
画像計測に基づく流速計測手法に機械学習の要素を取り入れた高度化に取り組み，それが油膜のような高粘度液体内部の流速計測に有効であることを示した．また，ピトー管や熱線流速計などの大がかりな装置を用いて計測していた流動の壁面摩擦力を，光学的な計測手法を用いて，微小な領域における3次元的な流速分布を算出するだけで高精度に定量化できることを示すことができた．そのため，本研究は流体計測手法とその発展に大きく寄与するものであるといえる．
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