基于高维混合模型的离心泵叶轮子午面优化设计

Optimization design of meridional surface of centrifugal pump impeller based on high-dimensional hybrid model

为提高离心泵在设计工况下的运行效率和扬程,提出一种基于高维混合模型的离心泵叶轮优化设计方法.选取一台比转数为157的单级离心泵作为研究对象,通过CFturbo软件对优化变量进行参数化,然后结合数值模拟获得高维混合模型的训练集.在此基础上采用获取的训练集通过MATLAB机器学习得出效率、扬程与优化参数之间关于支持向量回归的高维模型,并采用遗传算法寻优.在设计工况下,所拟合的高维混合模型预测的效率和扬程值比原模型分别高1.5%和3.2 m,数值模拟验证优化方案的效率和扬程分别比原模型高0.9%和2.1 m.算例研究表明,将高维混合模型应用于离心泵叶轮的优化设计中可以实现快速寻优并提高离心泵水力性能.

In order to improve the operation efficiency and head of centrifugal pumps under the design conditions,a centrifugal pump impeller optimization design method based on high-dimensional hybrid model was proposed.A single-stage centrifugal pump with specific speed of 157 was selected as the research object for this study.The optimization variables were parameterized in CFturbo software,and then combined with numerical simulation to obtain the training set of the high-dimensional hybrid model.By using MATLAB machine learning on the obtained training set,a high-dimensional support vector regression model between efficiency,head and optimization parameters was obtained,and a genetic algorithm was used for the optimization.Under the design working conditions,the predicted efficiency and head values of the fitted high-dimensional hybrid model are 1.5%and 3.2 m higher than the original model,respectively.The efficiency and head values of the optimized scheme verified by numerical simulation are 0.9%and 2.1 m higher than the original model,respectively.This case study shows that the application of a high-dimensional hybrid model in the optimal design of a centrifugal pump impeller can achieve rapid optimization and improve the hydraulic performance of the centrifugal pump.