遗传算法在多级压气机气动优化设计中的应用

基金项目: 国家自然科学基金支持项目(10477002)

Application of genetic algorithm to multi-stage compressor aerodynamic optimization design

National Key Laboratory on Aero-engines, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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.
- 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
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.
- aerospace propulsion system /
- multi-stage compressor /
- aerodynamic optimization /
- genetic algorithm /
- multi-objective optimization

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