Optimum aerodynamic design of centrifugal compressor impeller using an inverse method based on meridional viscous flow analysis

Nobuhito Oka, Masato Furukawa, Kazutoyo Yamada, Sasuga Itou, Seiichi Ibaraki, Kenichiro Iwakiri, Yoshihiro Hayashi

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

5 被引用数 (Scopus)

抄録

An optimum aerodynamic design method for centrifugal compressor impeller has been developed. The present optimum design method is using a genetic algorithm (GA) and a two-dimensional inverse blade design method based on a meridional viscous flow analysis. In the meridional viscous flow analysis, an axisymmetric viscous flow is numerically analyzed on a two-dimensional meridional grid to determine the flow distribution around the impeller. Full and splitter blade effects to the flow field are successfully evaluated in the meridional viscous flow analysis by a blade force modeling. In the inverse blade design procedure, blade loading distribution is given as the design variable. In the optimization procedure, the total pressure rise and adiabatic efficiency obtained from the meridional viscous flow analysis are employed as objective functions. Aerodynamic performance and three-dimensional flow fields in the Pareto-optimum design and conventional design cases have been investigated by three-dimensional Reynolds averaged Navier-Stokes (3D-RANS) and experimental analyses. The analyses results show performance improvements and suppressions of flow separations on the suction surfaces in the optimum design cases. Therefore, the present aerodynamic optimization using the inverse method based on the meridional viscous flow analysis is successfully achieved.

本文言語英語
ホスト出版物のタイトルTurbomachinery
出版社American Society of Mechanical Engineers (ASME)
ISBN(電子版)9780791850800
DOI
出版ステータス出版済み - 2017
イベントASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, GT 2017 - Charlotte, 米国
継続期間: 6 26 20176 30 2017

出版物シリーズ

名前Proceedings of the ASME Turbo Expo
2C-2017

その他

その他ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, GT 2017
国/地域米国
CityCharlotte
Period6/26/176/30/17

All Science Journal Classification (ASJC) codes

  • 工学(全般)

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