流体机械

2014, v.42;No.502(04) 42-46

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基于微遗传算法的低比转速泵叶轮的优化
Micro Genetic Algorithm based Optimization Low Specific Speed Pump Impeller

宋文武;李登松;符杰;张维;王睿;刘梅;
SONG Wen-wu;LI Deng-song;FU Jie;ZHANG Wei;WANG Rui;LIU Mei;Xihua University;

摘要(Abstract):

提出一种解决加大流量设计对低比转速泵叶轮进行水力设计易出现驼峰,轴功率易产生过载现象的直接优化设计方法,得到综合性能较好的叶轮。其优化设计方法:通过加大流量设计理论设计初始叶轮,将得到的初始叶轮个体与随机个体作为微遗传算法的初始群体中的染色体,并以效率、消除驼峰、气蚀余量最小为分目标函数建立多目标规划作为适应度,进行微遗传操作。最后,结合设计实例进行验证。研究结果表明,将微遗传算法和加大流量设计理论相结合,直接对叶轮进行优化的方法,提升了低比转速泵的综合性能。
A direct optimization design method was propsed,which resolved to increase the flow design prone to hump,shaft power is easy to produce upload phenomenon,better overall performance impeller. The optimal design method: by increasing the flow of design theory to design the initial impeller,the impeller will be the initial individual and individual random as the initial population of genetic algorithm in the chromosome,taking efficiency,eliminating hump,cavitations' allowance minimum as the objective function to establish multi-objective programming as the fitness of genetic operation. The results show that,the micro genetic algorithm and increase the theoretical flow design combined,directly on the impeller optimization method to enhance the overall performance of a low specific speed pump.

关键词(KeyWords): 低比转速泵;叶轮;加大流量;微遗传算法;优化设计;综合性能
low specific speed pump;impeller;increase the flow;micro-genetic algorithm;optimal design;overall performance

Abstract:

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基金项目(Foundation): 流体及动力机械教育部重点实验室学术培育项目(SBZDPY-11-8);; 西华大学研究生创新基金项目(YCJJ2013108)

作者(Author): 宋文武;李登松;符杰;张维;王睿;刘梅;
SONG Wen-wu;LI Deng-song;FU Jie;ZHANG Wei;WANG Rui;LIU Mei;Xihua University;

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