Transonic axial-flow blade shape optimization using evolutionary algorithm and three-dimensional navier-stokes solver

Akira Oyama, Meng Sing Liou, Shigeru Obayashi

Research output: Contribution to conferencePaperpeer-review

75 Citations (Scopus)

Abstract

A reliable and efficient aerodynamic design optimization tool using evolutionary algorithm has been developed for transonic compressor blades. A real-coded adaptive-range genetic algorithm is used to improve efficiency and robustness in design optimization. To represent flow fields accurately and produce reliable designs, three-dimensional Navier- Stokes computation is used for aerodynamic analysis. To ensure feasibility of the present method, aerodynamic redesign of NASA rotor67 is demonstrated. Entropy production is considered as the objective function to be minimized. The computation is parallelized on the SGI ORIGIN2000 cluster at Institute of Fluid Science, Tohoku University, by distributing flow analyses of design candidates to 64 processing elements. The present method successfully obtained a design that reduced entropy production by more than 19% compared with the rotor67 while satisfying constraints on the mass flow rate and the pressure ratio. The use of the present tool for turbomachinery blade design is demonstrated to allow designers to achieve higher aerodynamic efficiency, while shortening design cycle and reducing design costs significantly.

Original languageEnglish
Publication statusPublished - 2002 Jan 1
Event9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization 2002 - Atlanta, GA, United States
Duration: 2002 Sep 42002 Sep 6

Other

Other9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization 2002
Country/TerritoryUnited States
CityAtlanta, GA
Period02/9/402/9/6

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering

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