基于响应面与遗传算法的液力透平叶轮优化设计

建立了基于试验设计、响应面近似和遗传算法优化的液力透平叶轮优化设计方法。通过ANSYS CFX数值模拟得到其外特性,原始模型数值计算结果与试验结果外特性吻合较好。以设计工况下的水力效率和扬程为目标函数,利用响应面方法(RSM)分别得到设计参数与目标函数之间的显式表达式,采用NSGA-Ⅱ遗传算法得到最优叶轮参数组合。优化后水力模型效率提高3.2%。结果表明,响应面方法与NSGA-Ⅱ遗传算法相结合的优化方法适用于液力透平叶轮的优化设计。

Optimization of Impeller for Hydrodynamic Turbine Based on Response Surface Method and Genetic Algorithm

An optimization method for hydraulic turbine impeller was established based on the ex-perimental design theory, the response surface approximation and genetic algorithm. The external characteristics are obtained by using the commercial software ANSYS CFX,and the results of the original model are in good agreement with the experimental results.The efficient and head were chosen as objective functions,and the response surface method (RSM)is used to obtain the explicit expression between the design parameters and the objective functions.The optimal combination of the parameters of the impeller is chosen by the NSGA-Ⅱ genetic algorithm.The hydraulic efficiency of the optimized model rises by 3.2%,which indicates that the optimization method combining response surface method and NSGA-Ⅱ genetic algorithm is suitable for the optimization design of hydraulic turbine impeller.