1636 多目的遺伝的アルゴリズムによる軽量化冷却タービン翼の開発(J12-2 流体機械に関連した流体解析と数値最適化技術(2),J12 流体機械に関連した流体解析と数値最適化技術)  [in Japanese] 1636 Development of Ultralight Air-Cooled Turbine Blades using Multi Objective Genetic Algorithm  [in Japanese]

Abstract

For modern aeroengines, it has become one of the important design issues to reduce weight as well as any kind of cost, while maintaining their high thermal efficiency. In this paper, we aim to trim weight of HP turbine blade while keeping enough space for cooling structure. We have searched for the optimum blade shapes that are much lighter than the original blade with similar aerodynamic performance by using Lattice Boltzmann Method as method for analyzing and Multi Objective Genetic Algorithm as optimization technique.

Journal

年次大会講演論文集 : JSME annual meeting   [List of Volumes]

年次大会講演論文集 : JSME annual meeting 2007(7), 141-142, 2007-09-07  [Table of Contents]

The Japan Society of Mechanical Engineers

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Codes

  • NII Article ID (NAID) :
    110007084374
  • NII NACSIS-CAT ID (NCID) :
    AA11461871
  • Text Lang :
    JPN
  • Databases :
    NII-ELS