High-fidelity swept and leaned rotor blade design optimization using evolutionary algorithm

Akira Oyama, Meng Sing Liou, Shigeru Obayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

In this paper, aerodynamic blade design optimization for a transonic axial compressor has demonstrated by using an evolutionary-algorithm-based high-fidelity design optimization tool. The present method uses a three-dimensional Navier-Stokes solver named TRAF3D for aerodynamic analysis to represent flow fields accurately and the real-coded ARGA for efficient and robust design optimization. The present method successfully obtained a design that reduced entropy production by more than 16% compared with the rotor67 while satisfying constraints on the mass flow rate and the pressure ratio. This study gave some insights into design optimization of a swept and leaned rotor blade for transonic axial compressors.

Original languageEnglish
Title of host publication16th AIAA Computational Fluid Dynamics Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781624100864
DOIs
Publication statusPublished - 2003
Event16th AIAA Computational Fluid Dynamics Conference 2003 - Orlando, FL, United States
Duration: 2003 Jun 232003 Jun 26

Publication series

Name16th AIAA Computational Fluid Dynamics Conference

Other

Other16th AIAA Computational Fluid Dynamics Conference 2003
CountryUnited States
CityOrlando, FL
Period03/6/2303/6/26

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Energy Engineering and Power Technology
  • Engineering (miscellaneous)
  • Aerospace Engineering
  • Automotive Engineering
  • Mechanical Engineering

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