Study on Flow Field Characteristics and Structure Optimization of Submersible Pump Based on Fluent and ISIGHT

被引：0

作者：

Liu G. ^{[1
]}

Xu P. ^{[1
]}

Wang Z. ^{[2
]}

Yin Z. ^{[1
]}

Hao P. ^{[1
]}

Zhu D. ^{[1
]}

机构：

[1] School of Mechanical Engineering, University of Science and Technology Beijing, Beijing

[2] Hubei Institute of Aerospace Chemical Technology, Xiangyang

来源：

Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences | 2022年 / 49卷 / 10期

基金：

国家重点研发计划;

关键词：

flow fields; Fluent; genetic algorithms; ISIGHT; submersible pumps;

D O I：

10.16339/j.cnki.hdxbzkb.2022181

中图分类号：

学科分类号：

摘要：

The software Fluent was used to simulate the full flow field of the submersible pump, to solve the bulky volume of submersible pumps. Based on the experience impeller structure of CFturbo software, the steady simulation analysis was conducted on the flow field characteristics of a submersible pump. The parametric modeling and simulation process of the impeller structure was realized by the ISIGHT optimization platform with CFTurbo and Pumplinx. The impeller structure was optimized by using the Multi-island genetic algorithm for the three optimization objectives: head, efficiency, and volume. The optimized results show that the head is increased by 5.1%, the hydraulic efficiency is increased by 2.1%, and the impeller diameter is reduced by 1.9% under the rated flow condition. The performance of the submersible pump under different flow conditions is generally better than that before optimization. According to the experimental data measured in the field, under the rated flow condition, the head error is 0.3%, which proves that the optimization results are reliable and submersible pump performance is good. © 2022 Hunan University. All rights reserved.

引用

页码：157 / 165

页数：8

共 14 条

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