基于响应面法与MOPSO算法的水轮机叶轮优化设计  

Optimization Design of Turbine Impeller Based on Response Surface Methodand MOPSO Algorithm

作　　者：刘铭滨 成思源[1] 李永健 杨雪荣[1] LIU Ming-bin;CHENG Si-yuan;LI Yong-jian;YANG Xue-rong(School of Electromechanical Engineering,Guangdong University of Technology,Guangzhou 510006,Guangdong Province,China)

机构地区：[1]广东工业大学机电工程学院,广东广州510006

出　　处：《中国农村水利水电》2025年第2期160-165,172,共7页China Rural Water and Hydropower

基　　金：广州市水务科技协同创新中心建设项目资助(SL2023B04J00003)。

摘　　要：为进一步提高阻力型水轮机的效率并降低其对管道液体输送能力的影响,通过单因素试验法分析了叶轮参数对其性能的影响,筛选出了四个关键参数及其取值范围。接着采用响应面法设计试验方案,利用最小二乘法拟合关键参数与效率和水头损失的函数关系,得到了回归模型。最后运用MOPSO算法对回归模型进行寻优,获得了叶轮最佳参数组合。结果表明,优化后的阻力型水轮机效率平均提高4.053%,水头损失平均降低0.679%。In order to further improve the efficiency of resistance-type turbines and reduce their influence on the liquid conveying capacity of pipelines,the influence of impeller design parameters on their performance was analyzed by single factor test method,and four key parameters and their value ranges were selected.Then,the response surface method was used to design the test scheme,and the function relationship between the key design parameters and the efficiency and head loss was fitted by the least square method,and the regression model is obtained.Finally,MOPSO algorithm was used to optimize the regression model,and the optimal impeller parameters was obtained.The results show that the average efficiency of the optimized resistance-type turbine is increased by 4.053%,and the average head loss is reduced by 0.679%.

关 键 词：阻力型水轮机 多目标优化 响应面法 MOPSO算法 优化设计 

分 类 号：TK73[交通运输工程—轮机工程]