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遗传算法在多级压气机气动优化设计中的应用
引用本文:脱伟,熊劲松,侯安平,周盛.遗传算法在多级压气机气动优化设计中的应用[J].航空动力学报,2007,22(2):305-309.
作者姓名:脱伟  熊劲松  侯安平  周盛
作者单位:北京航空航天大学,航空发动机气动热力重点实验室,北京,100083
摘    要:用遗传优化算法结合流线曲率法管流流场求解器建立了一种多级压气机多目标气动优化设计方法.优化目标为总压比和绝热效率最大,决策变量为转子和静子叶排尾缘速度环量.测试结果表明,该优化算法的搜索效率和全局性都较好.用该方法对一台5级高压压气机进行了气动优化设计,压气机性能有了明显提升.

关 键 词:航空、航天推进系统  多级压气机  气动优化设计  遗传算法  多目标优化  遗传算法  多级压气机  气动优化设计  应用  optimization  design  compressor  genetic  algorithm  压气机性能  高压压气机  设计方法  全局性  搜索效率  优化算法  测试结果  速度环量  尾缘  叶排  静子  转子  决策变量
文章编号:1000-8055(2007)02-0305-05
收稿时间:2005/12/23 0:00:00
修稿时间:2005年12月23

Application of genetic algorithm to multi-stage compressor aerodynamic optimization design
TUO Wei,XIONG Jin-song,HOU An-ping and ZHOU Sheng.Application of genetic algorithm to multi-stage compressor aerodynamic optimization design[J].Journal of Aerospace Power,2007,22(2):305-309.
Authors:TUO Wei  XIONG Jin-song  HOU An-ping and ZHOU Sheng
Institution:National Key Laboratory on Aero-engines, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;National Key Laboratory on Aero-engines, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;National Key Laboratory on Aero-engines, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;National Key Laboratory on Aero-engines, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
Abstract:A multi-objective aerodynamic optimization method is developed using genetic algorithm and duct-flow code that employs streamline curvature approach.Velocity circulations at the trailing edges of each blade-row are optimized for overall maximization of total pressure ratio and isentropic efficiency.The test indicates that the optimization algorithms can auto-search for optimal result globally and efficiently.A five-stage high pressure compressor is redesigned by using this method and the performance is enhanced greatly.
Keywords:aerospace propulsion system  multi-stage compressor  aerodynamic optimization  genetic algorithm  multi-objective optimization
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