重庆科技大学学报（自然科学版）2024，Vol.26Issue(4)：98-104,7.DOI:10.19406/j.issn.2097-4531.2024.04.013
基于OptiSLang的离心泵叶轮多目标优化
Multi-Objective Optimization of Centrifugal Pump Impeller Based on OptiSLang
摘要
Abstract
In order to enhance the efficiency and head of the Q25H52 high-speed centrifugal pump,a P-B experi-ment is conducted to select three structural parameters:blade exit angle,exit width and wrap angle.Design sam-ples are created using OptiSLang software and the Latin hypercube design method.With the highest head and effi-ciency of the centrifugal pump as the optimization objectives,a Kriging model is then established between the struc-tural parameters and the optimizing objective.Genetic algorithm is employed to find the optimal structural parame-ters for the impeller.The results show that under the rated condition,the actual efficiency of the optimized pump has increased by 2.94%,and the total head has increased by 2.17 m.关键词
OptiSLang/Kriging模型/遗传算法Key words
OptiSLang/Kriging model/genetic algorithm分类
机械制造引用本文复制引用
朱军龙,任岩丛,李育房,王彦伟..基于OptiSLang的离心泵叶轮多目标优化[J].重庆科技大学学报（自然科学版）,2024,26(4):98-104,7.基金项目
国家自然科学基金项目"面向整机的装配模型层次化等几何分析与形状灵敏度解析计算"(51375186) （51375186）
湖北省教育厅科学技术研究计划指导性项目"多场耦合作用下深海水下井口连接器密封机理研究"(B2022085) （B2022085）
化工装备强化与本质安全湖北省重点实验室开放研究基金资助课题"深海水下插拔电连接器密封接触特性研究"(2022KA011) （2022KA011）
