2021 Fiscal Year Final Research Report
Development of Non-invasive Imaging Method for Pressure and Temperature Fields and its Application to Measurements of Moving and Deformed Objects, High Temperature and High Pressure Fields
Project/Area Number |
19H02063
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Review Section |
Basic Section 19010:Fluid engineering-related
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Research Institution | Tokyo University of Agriculture and Technology |
Principal Investigator |
Kameda Masaharu 東京農工大学, 工学(系)研究科(研究院), 教授 (70262243)
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Co-Investigator(Kenkyū-buntansha) |
天尾 豊 大阪市立大学, 人工光合成研究センター, 教授 (80300961)
中北 和之 国立研究開発法人宇宙航空研究開発機構, 航空技術部門, 主幹研究開発員 (50358595)
伊藤 輝将 東京農工大学, 学内共同利用施設等, 特任准教授 (60783371)
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Project Period (FY) |
2019-04-01 – 2022-03-31
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Keywords | 流体工学 / 航空宇宙工学 / 流体計測 |
Outline of Final Research Achievements |
We have developed unsteady pressure and temperature measurement techniques utilizing pressure-sensitive and temperature-sensitive paints (PSP and TSP) and coherent anti-Stokes Raman scattering (CARS) spectroscopy, which is mainly based on ultrashort pulse light sources. Specifically, we have developed a new PSP that can be used in high-pressure, hot gas environment, a random-dot PSP for simultaneous measurement of surface pressure and deformation of the object, and a narrow-band probe light generation method using optical filters that enable simpler setup of CARS optics. Using these methods, we succeed in simultaneous measurement of pressure and temperature on the surface of a high-speed rotating compressor impeller, simultaneous measurement of airfoil surface pressure and deformation caused by flutter in transonic flow, and obtaining narrow-band pulse light sufficient for identification of gas temperature.
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Free Research Field |
流体工学
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Academic Significance and Societal Importance of the Research Achievements |
機械・航空工学では,実機の運転条件の制約となる非定常現象が多い.ここでは,200,000rpmで回転する圧縮機インペラ,遷音速気流中で変形する翼,2000 K, 70気圧に達する内燃機関ような,実用的にも重要であるにもかかわらず,従来の方法では取得ができなかった対象の圧力,温度場測定を実現した.計測データとCFDなどの大規模数値解析との組み合わせにより,現象の適切なモデリングや望ましくない非定常現象を回避する設計方法の指針が得られる.
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