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基于有效人工智能算法的离心泵CFD分析与优化设计

CFD Analysis and Optimum Design for a Centrifugal Pump Using an Effectively Artificial Intelligent Algorithm.

作者信息

Wang Chia-Nan, Yang Fu-Chiang, Nguyen Van Thanh Tien, Vo Nhut T M

机构信息

Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan.

Industrial University of Ho Chi Minh City, Ho Chi Minh 70000, Vietnam.

出版信息

Micromachines (Basel). 2022 Jul 29;13(8):1208. doi: 10.3390/mi13081208.

Abstract

In this study, we proposed a novel approach to improve centrifugal pump performance with regard to the pump head, pump efficiency, and power. Firstly, to establish constraints, an optimal numerical model that accounted for factors such as pump efficiency and the head was considered. The pump was designed, and an artificial intelligence algorithmic approach was applied to the pump before performing experiments. We considered a set of models by selecting the parameters of the centrifugal pump casing section area, the interference of the impeller, the volute tongue length, and the volute tongue angle. The weights of the factors of safety and displacement on the optimization indices were estimated. The matrix of the weights for the optimal process was less than 38% or greater than 62%. This approach guarantees a complicated multi-objective optimization problem. The results show that the centrifugal pump performances were improved.

摘要

在本研究中,我们提出了一种新颖的方法来提高离心泵在扬程、效率和功率方面的性能。首先,为了建立约束条件,考虑了一个考虑泵效率和扬程等因素的最优数值模型。对泵进行了设计,并在进行实验之前将人工智能算法方法应用于该泵。我们通过选择离心泵蜗壳截面积、叶轮干涉、蜗壳舌部长度和蜗壳舌部角度等参数来考虑一组模型。估算了安全和位移因素对优化指标的权重。最优过程的权重矩阵小于38%或大于62%。这种方法保证了一个复杂的多目标优化问题。结果表明,离心泵的性能得到了改善。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e2b/9414039/11aba3ea7101/micromachines-13-01208-g001.jpg

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