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多级离心泵叶轮和蜗壳协同优化研究

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为了解决多级离心泵高效运行区窄，整体能效偏低的问题，本文对比转速为 64。3 的双进口多级离心泵叶轮和蜗壳进行了优化设计研究。对比了不同代理模型在多级离心泵水力性能优化中的适用性，选择了GA-BP 神经网络作为最优代理模型，以叶轮和蜗壳的 9 个主要设计参数作为优化变量，0。6Qd 和 1。0Qd 工况泵的效率为优化目标，通过拉丁超立方抽样方法和自动数值分析程序构建样本库，使用NSGA-II算法获得多目标优化问题的帕累托最优解，并根据实际工程需求选取了适当的参数组合。结果表明:模型泵在小流量工况和设计工况点效率分别提高了 2。49%和 3。09%，大流量工况扬程陡降问题得到缓解。该方法可以为多级离心泵的正向设计提供参考。
Matching optimization of impeller and volute in a multistage centrifugal pump
To solve the problem of the narrow high-efficiency operation zone and low overall energy efficiency of a multistage centrifugal pump,an optimal design study of the impeller and volute of a multistage double-suction cen-trifugal pump with a specific speed of 64 was conducted.The applicability of different surrogate models in the opti-mization of the hydraulic performance of the multistage centrifugal pump was investigated and compared,and a GA-BP neural network was selected as the optimal surrogate model.Nine main design parameters were chosen as opti-mization variables,and the efficiency of the pump under partial-load and nominal conditions 0.6Qd and 1.0Qd were set as the optimization objectives.The Pareto-optimal solution of the multiobjective optimization problem was ob-tained using the NSGA-II algorithm with the Latin hypercubic sampling method and an automatic numerical analysis program to construct a sample database,and appropriate combinations of parameters were selected according to ac-tual engineering requirements.The analysis results showed that the efficiency of the model pump was increased by 2.49%and 3.09%under partial-load and nominal conditions,respectively,and the issue of the steep drop in the head under overload conditions was alleviated.This method can be a reference for the positive design of multistage centrifugal pumps.

multistage centrifugal pumpmatching optimizationenergy efficiency optimizationmultiobjective opti-mizationbackpropagation neural networkgenetic algorithmnumerical simulationsurrogate model

赵建涛、裴吉、袁建平、王文杰

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江苏大学 国家水泵及系统工程技术研究中心,江苏 镇江 212013

流体及动力机械教育部重点实验室(西华大学),四川成都 610039

多级离心泵 匹配优化 能效优化 多目标优化 反向传播神经网络 遗传算法 数值模拟 代理模型

国家自然科学基金项目江苏省自然科学基金项目流体及动力机械教育部重点实验室(西华大学)开放课题

51879121BK20190851szjj2019-007

2024

10.11990/jheu.202206094

哈尔滨工程大学学报
哈尔滨工程大学

哈尔滨工程大学学报

CSTPCD北大核心
影响因子：0.655
ISSN：1006-7043
年,卷(期)：2024.45(9)