論文

査読有り
2016年6月1日

Multi-point optimization of recirculation flow type casing treatment in centrifugal compressors

Journal of Thermal Science
  • Min Thaw Tun
  • ,
  • Daisaku Sakaguchi

25
3
開始ページ
231
終了ページ
241
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s11630-016-0855-x
出版者・発行元
SCIENCE PRESS

© 2016, Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag Berlin Heidelberg. High-pressure ratio and wide operating range are highly required for a turbocharger in diesel engines. A recirculation flow type casing treatment is effective for flow range enhancement of centrifugal compressors. Two ring grooves on a suction pipe and a shroud casing wall are connected by means of an annular passage and stable recirculation flow is formed at small flow rates from the downstream groove toward the upstream groove through the annular bypass. The shape of baseline recirculation flow type casing is modified and optimized by using a multi-point optimization code with a metamodel assisted evolutionary algorithm embedding a commercial CFD code CFX from ANSYS. The numerical optimization results give the optimized design of casing with improving adiabatic efficiency in wide operating flow rate range. Sensitivity analysis of design parameters as a function of efficiency has been performed. It is found that the optimized casing design provides optimized recirculation flow rate, in which an increment of entropy rise is minimized at grooves and passages of the rotating impeller.

リンク情報
DOI
https://doi.org/10.1007/s11630-016-0855-x
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000375514500005&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84976384407&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84976384407&origin=inward
ID情報
  • DOI : 10.1007/s11630-016-0855-x
  • ISSN : 1003-2169
  • eISSN : 1993-033X
  • SCOPUS ID : 84976384407
  • Web of Science ID : WOS:000375514500005

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