摘要
该文将遗传算法应用于透平机械叶栅的优化设计 ,建立起以极小化叶栅背弧实际压力与理想压力均方差为目标函数 ,以叶栅几何参数为变量的优化设计模型。优化实例结果表明 ,此算法的应用将改善叶栅内部的流场 ,提高叶栅的气动性能。
The paper reports on the application of genetic algorithm in the optimizing design of blade cascades of turbomachinery, introduces an optimizing design model which uses mean square deviation for minimizing the difference between the actual and the ideal suction side pressure of the cascade as the object function and the geometry parameters of the cascades as the variables. Practical examples of optimization show that by making use of this algorithm the glow field within the cascade can be improved as well as its aerodynamic performance. Figs 5 and refs 3
出处
《发电设备》
2000年第5期22-25,共4页
Power Equipment
关键词
透平机械
叶栅
优化设计
遗传算法原理
turbomachinery, genetic algorithm, blade cascade, optimal design
