The KSFM Journal of Fluid Machinery (한국유체기계학회 논문집)

Korean Society for Fluid machinery (한국유체기계학회)
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A Study on the Design Method to Optimize an Impeller of Centrifugal Compressor

원심압축기 최적 임펠러 형상설계에 관한 연구

  • 조수용 (경상대학교 항공기부품기술연구센터) ;
  • 이영덕 (한국기계연구원 환경에너지연구본부) ;
  • 안국영 (한국기계연구원 환경에너지연구본부) ;
  • 김영철 (한국기계연구원 시스템다이나믹스연구실)
  • Received : 2012.07.11
  • Accepted : 2012.11.21
  • Published : 2013.02.01
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Abstract

A numerical study was conducted to improve the performance of an impeller of centrifugal compressor. Nine design variables were chosen with constraints. Only meridional contours and blade profile were adjusted. ANN (Artificial Neural Net) was adopted as a main optimization algorithm with PSO (Particle Swarm Optimization) in order to reduce the optimization time. At first, ANN was learned and trained with the design variable sets which were obtained using DOE (Design of Experiment). This ANN was continuously improved its accuracy for each generation of which population was one hundred. New design variable set in each generation was selected using a non-gradient based method of PSO in order to obtain the global optimized result. After $7^{th}$ generation, the prediction difference of efficiency and pressure ratio between ANN and CFD was less than 0.6%. From more than 1,200 design variable sets, a pareto of efficiency versus pressure ratio was obtained and an optimized result was selected based on the multi-objective function. On this optimized impeller, the efficiency and pressure ratio were improved by 1% and 9.3%, respectively.

Keywords

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