排灌机械工程学报2025，Vol.43Issue(8)：779-785,7.DOI:10.3969/j.issn.1674-8530.23.0210
基于SVR-HDMR模型的权重系数对潜水泵叶轮优化设计的影响
Influence of weighting coefficients on optimal design of submersible pump impellers based on SVR-HDMR model
摘要
Abstract
The applicability of high-dimensional hybrid modeling for submersible pump impeller opti-mization and the influence of weighting coefficients were investigated using a specific-speed-87 sub-mersible pump.Optimization was performed based on a constructed SVR-HDMR model coupled with a genetic algorithm.The impact of varying head and efficiency weighting coefficients on internal flow characteristics and impeller outlet velocity was analyzed through multi-objective optimization.Computa-tional results were experimentally validated,with all errors found to be around 5%.The results show that pump performance is enhanced by all three optimization schemes.The optimal solution,employing equal weighting(0.5)for both head and efficiency,results in reduced internal flow losses,mitigated flow disorder,an incrased circumferential component of the absolute velocity at the impeller outlet,and decreased turbulent kinetic energy.Consequently,the pump's head and efficiency are effectively im-proved.At the design operating point,an efficiency increase of 1.80%and a head gain of 1.20 m are achieved by the optimized pump.This study provides a valuable reference for the design of guide vane centrifugal pumps.关键词
潜水泵/数值模拟/多目标优化/高维混合模型/模型试验Key words
submersible pump/numerical simulation/multi-objective optimization/high-dimensional hybrid model/model test分类
农业科技引用本文复制引用
张金凤,刘佳,俞鑫厚,李贵东,张文佳..基于SVR-HDMR模型的权重系数对潜水泵叶轮优化设计的影响[J].排灌机械工程学报,2025,43(8):779-785,7.基金项目
江苏省自然科学基金资助项目(BK20210761) （BK20210761）
江苏大学流体机械温岭研究院自立项目(01012) （01012）
