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Numerical Prediction of aerodynamic characteristics over the eVTOL Configurations

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JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22EDA201G25 Subject Category: Aeronautical Technology PDF Responsible Representative: Atsushi Hashimoto Contact Information: Kanako Yasue(yasue.kanako@jaxa.jp) Members: Jun Hashimoto, Masatoshi Kanayama, Atsushi Shinozuka, Shota Taniguchi, Kanako Yasue Abstract Various types of eVTOL (electric vertical take-off and landing aircraft) have been proposed to develop new mobility markets such as air taxis, and global competition is intensifying. However, the development history of eVTOL is relatively short, and there is little data for designing products・・・<<read more>>

Research of numerical prediction for the flight stability

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JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22EDA201G26 Subject Category: Aeronautical Technology PDF Responsible Representative: Kazuyuki Nakakita, Aeronarutical Technology Directorate, Aircraft Life Cycle Innovation Hub Contact Information: Yoimi Kojima(kojima.yoimi@jaxa.jp) Members: Hirokazu Higashida, Atsushi Hashimoto, Yoimi Kojima, Hideji Saiki, Takahiro Yamamoto Abstract The flight stability of aircraft is necessary to establish safe flight. We aim to improve the technology level of flight stability prediction through numerical simulation. The numerical method is validated and analyzed for developing better numerical・・・<<read more>>

Research and development of fluid analysis tools using GPU

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JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22EDA201G24 Subject Category: Aeronautical Technology PDF Responsible Representative: Takashi Aoyama, Aviation Program Director, Aviation Technology Contact Information: Andrea Sansica(sansica.andrea@jaxa.jp) Members: David Lusher, Andrea Sansica, Paul Zehner Abstract Evaluation of FaSTAR and OpenSBLI acceleration using GPU for buffet analysis. Reference URL Please refer to ‘数値解析技術の研究 | 基盤技術の研究(fundamental research) | JAXA航空技術部門‘. Reasons and benefits of using JAXA Supercomputer System To develop a GPU version of CFD solvers, the GPU nodes available on・・・<<read more>>

Development of improved numerical tools for Certification by Analysis(CbA)

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JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22EDA201G22 Subject Category: Aeronautical Technology PDF Responsible Representative: Kazuyuki Nakakita, Aviation Technology Directorate, Aircraft Lifecycle Innovation Hub Contact Information: Andrea Sansica(sansica.andrea@jaxa.jp) Members: Hirokazu Higashida, Manabu Hisida, Atsushi Hashimoto, Kenji Hayashi, Yuki Ide, Takashi Ishida, Masashi Kanamori, David Lusher, Tomoaki Matsuzaki, Yoimi Kojima, Hideji Saiki, Yosuke Sugioka, Andrea Sansica, Kosuke Uchida, Takahiro Yamamoto, Paul Zehner, Markus Zauner Abstract High-accuracy simulations for stall and buffet are needed during the aircraft design. However,・・・<<read more>>

Research on low-cost LES and one-dimensional model for aeroengine combustor

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JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22EDA201G23 Subject Category: Aeronautical Technology PDF Responsible Representative: Yasuhiro Mizobuchi, Aviation Technology Directorate, Aircraft Lifecycle Innovation Hub Contact Information: Shingo Matsuyama(matsuyama.shingo@jaxa.jp) Members: Masanori Harada, Nagayoshi Hiromitsu, Kotaro Iguchi, Yuta Kusakabe, Hideki Moriai, Koutarou Munenaga, Shingo Matsuyama, Taisei Miyoshi, Yuichi Taniguchi Abstract There is a strong need to incorporate LES that can reproduce combustion phenomena with high fidelity into the design process to improve the efficiency of combustor development for aero・・・<<read more>>