JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22ETET43 Subject Category: Skills Acquisition System PDF Responsible Representative: Takeshi Akasaka, Associate Professor, Kanazawa Institute of Technology Contact Information: Kanazawa Institute of Technology, Takeshi Akasaka(akasaka@neptune.kanazawa-it.ac.jp) Members: Yusuke Hamamoto, Hideaki Sugawara Abstract Investigate the aerodynamic interference between the rotor and the wing in high-speed helicopters to contribute to the research and development of helicopters. Reference URL Please refer to https://kitnet.jp/laboratories/labo0022/index.html . Reasons and benefits of using JAXA Supercomputer System The analysis・・・<<read more>>
JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22ETET41 Subject Category: Skills Acquisition System PDF Responsible Representative: Hitoshi Arizono, Aeronautical Technology Directorate, Aviation Environmental Sustainability Innovation Hub Contact Information: Hideaki Sugawara(sugawara.hideaki@jaxa.jp) Members: Masahiko Sugiura, Hideaki Sugawara, Kosuke Saito, Takumi Yumino Abstract The flowfield around the rotor is unsteady and highly complex due to the tip vortices from the rotor blades. Multirotor drones and eVTOL aircraft have complex flowfield interference between rotors. The aerodynamic interference changes the aerodynamic performance・・・<<read more>>
JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22ETET42 Subject Category: Skills Acquisition System PDF Responsible Representative: Hitoshi Arizono, Aeronautical Technology Directorate, Aviation Environmental Sustainability Innovation Hub Contact Information: Shigeru Sunada, Nogoya University(shigeru.sunada@mae.nagoya-u.ac.jp) Members: Airi Furukawa, Reo Iida, Masahiko Sugiura, Hideaki Sugawara Abstract In order to enhance the efficiency of an urban air mobility with coaxial rotors and to decrease the noise generated by the mobility, numerical calculations of a coaxial rotor have been made as a parameter・・・<<read more>>
JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22ETET30 Subject Category: Skills Acquisition System PDF Responsible Representative: Yasuhiro Mizobuchi, Aviation Technology Directorate, Aircraft Lifecycle Innovation Hub Contact Information: Takaaki Miyajima, Department of Computer Science, School of Science and Technology, Meiji University(takaaki.miyajima@cs.meiji.ac.jp) Members: Aoto Abe, Kazumi Kayajima, Dai Wada Abstract Acquiring advanced numerical analysis methods such as particle methods Reference URL N/A Reasons and benefits of using JAXA Supercomputer System Scalability is a major issue for the MPS method・・・<<read more>>
