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Aerodynamic Simulations on Airframe Noise Reduction Technology (FQUROH+)

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JAXA Supercomputer System Annual Report April 2019-March 2020 Report Number: R19EDA101R20 Subject Category: Aeronautical Technology PDF Responsible Representative: Kazuomi Yamamoto, FQUROH+ Team, Aviation Systems Research Unit, Aeronautical Technology Directorate Contact Information: Kazuomi Yamamoto(yamamoto.kazuomi@jaxa.jp) Members: Kazuomi Yamamoto, Yasushi Ito, Takehisa Takaishi, Mitsuhiro Murayama, Ryotaro Sakai, Tohru Hirai, Kentaro Tanaka, Kazuhisa Amemiya, Gen Nakano, Takashi Ishida Abstract The FQUROH (Flight Demonstration of Quiet Technology to Reduce Noise from High-Lift Configurations) project aims at raising the technical maturity level of the noise reduction・・・<<read more>>

Numerical Study on Rotor Performance of Mars Helicopter

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JAXA Supercomputer System Annual Report April 2019-March 2020 Report Number: R19EACA41 Subject Category: JSS2 Inter-University Research PDF Responsible Representative: Makoto Sato, Associate Professor, Kogakuin University Contact Information: Makoto Sato, Kogakuin University(msato@cc.kogakuin.ac.jp) Members: Makoto Sato, Daichi Ogasawara Abstract Mars helicopter project is now going. Since the atomospheric density on Mars is about 1/100, the sound of speed is about 3/4 compared with those on Earth, we need to develop the high perfmance heli-rotar. In JAXA, the experimental measurements of the heli-rotar・・・<<read more>>

Machine-learning based prediction of fluid dynamics

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JAXA Supercomputer System Annual Report April 2019-March 2020 Report Number: R19EACA39 Subject Category: JSS2 Inter-University Research PDF Responsible Representative: Masanobu Inubushi, Assistant Professor, Graduate School of Engineering Science, Osaka University Contact Information: Masanobu Inubushi(inubushi@me.es.osaka-u.ac.jp) Members: Masanobu Inubushi, Susumu Goto, Keita Kohashi, Mikito Konishi, Daiki Watanabe Abstract Turbulence models play important roles in the aerospace science and technology, such as flows around aircrafts and of planetary atmospheres. Recently, they are developing rapidly empowered by machine learning methods (Duraisamy, Iaccarino, and Xiao,・・・<<read more>>

Reynolds Number Effect on Aerodynamic Characteristics of Slender Bodies

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JAXA Supercomputer System Annual Report April 2019-March 2020 Report Number: R19EACA21 Subject Category: JSS2 Inter-University Research PDF Responsible Representative: Keiichi Kitamura, Associate Professor, Yokohama National University Contact Information: Hayato Kawashima (Yokohama National University)(kawashima-hayato-rn@ynu.jp) Members: Keiichi Kitamura, Hayato Kawashima Abstract In order to obtain the drag value of a slender body such as rockets from a wind tunnel test, the base pressure correction and cavity pressure correction are typically required to remove the effect of a sting. The drag greatly depends・・・<<read more>>

Study on Aerodynamic Characteristics and Flow Fields for Mars Exploration Airplane

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JAXA Supercomputer System Annual Report April 2019-March 2020 Report Number: R19EACA18 Subject Category: JSS2 Inter-University Research PDF Responsible Representative: Seiichiro Morizawa, Lecturer, National Institute of Technology, Okinawa College Contact Information: Seiichiro Morizawa(morizawa@okinawa-ct.ac.jp) Members: Seiichiro Morizawa Abstract The discussion on the aerodynamic characteristcs for a Mars exploration airplane was conducted. The atmospheric condition of Mars environment is quite different from that of Earth one. The flight condition of the airplane is low Reynolds number flow, and the aerodynamic data is insufficient・・・<<read more>>