論文

査読有り
2008年10月

Laboratory Experiments for Code Validation of Multiutility Spacecraft Charging Analysis Tool (MUSCAT)

IEEE TRANSACTIONS ON PLASMA SCIENCE
  • Satoshi Hosoda
  • ,
  • Takanobu Muranaka
  • ,
  • Hitoshi Kuninaka
  • ,
  • Jeongho Kim
  • ,
  • Shinji Hatta
  • ,
  • Naomi Kurahara
  • ,
  • Mengu Cho
  • ,
  • Hiroko O. Ueda
  • ,
  • Kiyokazu Koga
  • ,
  • Tateo Goka

36
5
開始ページ
2350
終了ページ
2359
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1109/TPS.2008.2003973
出版者・発行元
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

The Multiutility Spacecraft Charging Analysis Tool (MUSCAT), a spacecraft charging analysis software, has been developed as a collaboration work between Japan Aerospace Exploration Agency and Kyushu Institute of Technology. Laboratory experiments for fundamental code validation were carried out in both facilities' plasma chambers. MUSCAT is a particle simulation code based on particle-in-cell (PIC) and particle tracking (PT) algorithms capable of calculating the floating-body potential of a spacecraft with respect to the plasma potential. Three experiments were carried out regarding spacecraft-plasma interaction phenomena important in LEO and PEO. A Langmuir probe was used to measure the current collection and potential distribution in static plasma to validate the PIC and PT schemes. The floating potential of an object in plasma with an energetic electron component was measured to validate the floating-body calculation as well as the PT scheme. Current collection and potential distribution in the wake structure were measured to validate the PIC and PT scheme in flowing plasma condition. The experimental results and the simulation results agreed very well in all the three experiments, validating the accuracy of the MUSCAT solver.

リンク情報
DOI
https://doi.org/10.1109/TPS.2008.2003973
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000261363200016&DestApp=WOS_CPL
ID情報
  • DOI : 10.1109/TPS.2008.2003973
  • ISSN : 0093-3813
  • Web of Science ID : WOS:000261363200016

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