Multi-objective optimization of mixed-flow pump impeller based on 3-D inverse design

被引：0

作者：

Wang M. ^{[1
]}

Yuan J. ^{[1
]}

Li Y. ^{[1
]}

Zheng Y. ^{[1
]}

机构：

[1] National Research Center of Pumps, Jiangsu University, Zhenjiang

来源：

Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2020年 / 41卷 / 12期

关键词：

Impeller; Kriging model; Latin hypercube sampling; Mixed-flow pump; Multi-objective optimization; Non-dominated genetic algorithm; Numerical simulation; Three-dimensional inverse design;

D O I：

10.11990/jheu.201904068

中图分类号：

学科分类号：

摘要：

To further improve the mixed-flow pump operating efficiency and the range of the high efficiency, the mixed-flow pump with a specific speed of 530 was optimized. A comprehensive optimization system consisting of the inverse problem design method, numerical simulation, Latin hypercube sampling method, Kriging model, and non-dominated genetic algorithm was adopted, with the blade load as the design parameter and the pump section efficiency at 0.7Qdes and 1.1Qdes as the optimization objective. After 10 000 different impeller configurations were explored, the Pareto front of the optimal configuration set was obtained, and the appropriate parameter configurations were selected according to engineering requirements. The pump efficiency of the optimized model was significantly improved in a larger flow range (0.7Qdes~1.3Qdes). At the design point, the head was basically unchanged, and the efficiency was increased by about 4.2%. The research results show that this method has good engineering application value. Copyright ©2020 Journal of Harbin Engineering University.

引用

页码：1854 / 1860

页数：6

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