西华大学学报（自然科学版）2026，Vol.45Issue(4)：68-76,9.DOI:10.12198/j.issn.1673-159X.5551
基于熵产理论和粒子群算法的轴流泵作液力透平水力性能优化
Hydraulic Performance Optimization of Axial-Flow Pump as Turbine Based on Entropy Production Theory and Particle Swarm Algorithm
摘要
Abstract
To improve the energy recovery efficiency of the axial-flow pump as turbine,research on its hydraulic performance optimization was conducted based on entropy production theory and particle swarm algorithm.The entropy production theory method was introduced to analyze the entropy production losses in various flow components of the axial-flow pump operating in reverse as a turbine.It was found that un-der small flow conditions,design conditions,and some large flow conditions,the impeller was the flow component accounting for the largest proportion of the total entropy production loss in the entire machine.Due to the matching relationship between the guide vanes and the impeller,synchronous optimization design of the impeller and guide vanes was required.The particle swarm algorithm was adopted to carry out the optimization design of the impeller and guide vanes.Firstly,a parameter sensitivity analysis was con-ducted on the input parameters of the impeller and guide vanes to screen out the parameters most sensitive to the response variables of head and efficiency.Secondly,the advanced Latin hypercube sampling method was utilized to establish the sample database data,and high-quality response surfaces and optimal predic-tion models were employed to construct an approximate prediction model.Finally,global optimization was performed on the approximate prediction model based on the particle swarm algorithm to obtain the Pareto solution set.The optimal solution was identified from the Pareto frontier solution set,and the optimized im-peller and guide vanes were obtained through the data of the optimal solution.Through comparative analys-is of the external characteristics of the axial-flow pump as turbine before and after optimization,it was found that the hydraulic loss in the flow passage of the optimized turbine was significantly reduced,and the efficiency,head,and power were all improved under all flow conditions.关键词
轴流泵作液力透平/熵产理论/粒子群算法/水力性能优化Key words
axial-flow pump as turbine/entropy production theory/particle swarm algorithm/hydraulic performance optimization分类
机械制造引用本文复制引用
陈柏言,苗森春,吴豪,史凤霞..基于熵产理论和粒子群算法的轴流泵作液力透平水力性能优化[J].西华大学学报（自然科学版）,2026,45(4):68-76,9.基金项目
甘肃省自然科学基金项目(23JRRA750) （23JRRA750）
国家自然科学基金项目(52169019). （52169019）
