遗传算法在离心泵优化设计中的应用

Application of genetic algorithm in optimal design of centrifugal pump

介绍和探讨了离心泵的遗传算法优化设计方法;首次采用遗传算法,对低比转速离心泵参数的优化设计方法进行了研究,建立了中低比转速离心泵叶轮参数优化设计的数学模型,将多目标优化设计转化为单目标优化设计问题.对一台低比转速离心泵的叶轮进行了优化设计,经过多次选择、交叉和变异等遗传操作和大量计算,得出了参数优化设计结果,并与传统方法设计的泵作了比较.结果表明,采用遗传算法优化设计的叶轮,其泵效率有所提高,并消除了扬程曲线的驼峰现象;与传统设计方法相比,遗传算法优化设计具有思想简单、易于实现、应用效果显著等优点,因此更合理、更严谨.

Optimal design method of centrifugal pump is presented and discussed by using genetic algorithm. The optimal design of geometrical parameters for low specific speed centrifugal pump is studied by using genetic algorithm. Mathematic model of optimal design for low-middle specific speed centrifugal pump impeller parameter is established; multi-objective optimal design is changed into single one. The impeller parameters of low specific speed centrifugal pump are optimized through genetic operating of multi-selection, crossover and mutation and after a large number of calculations, compared with designed pump by traditional method. The results show that the pump efficiency of optimal designed impeller by u- sing genetic algorithm is increased a little and the unstable characteristic curve is eliminated. Optimal design method by using genetic algorithm has the advantages of simple in thought, easy to realize, and nota- ble effect in application than traditional ones.