• 제목/요약/키워드: Nondominate sorting genetic algorithm II

검색결과 1건 처리시간 0.021초

NSGA-II를 이용한 마이크로 프로펠러 수차 블레이드 최적화 (Optimization of Micro Hydro Propeller Turbine blade using NSGA-II)

  • 김병곤
    • 한국유체기계학회 논문집
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    • 제17권4호
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    • pp.19-29
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    • 2014
  • In addition to the development of micro hydro turbine, the challenge in micro hydro turbine design as sustainable hydro devices is focused on the optimization of turbine runner blade which have decisive effect on the turbine performance to reach higher efficiency. A multi-objective optimization method to optimize the performance of runner blade of propeller turbine for micro turbine has been studied. For the initial design of planar blade cascade, singularity distribution method and the combination of the Bezier curve parametric technology is used. A non-dominated sorting genetic algorithm II(NSGA II) is developed based on the multi-objective optimization design method. The comparision with model test show that the blade charachteristics is optimized by NSGA-II has a good efficiency and load distribution. From model test and scale up calculation, the maximum prototype efficiency of the runner blade reaches as high as 90.87%.