Multi-objective optimization design method for single-blade centrifugal pump impellers to improve performance and reduce radial thrust

IF 2.5 3区 工程技术 Q2 MECHANICS
Yasuyuki Nishi , Keito Konno , Satoshi Ono
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引用次数: 0

Abstract

This study aims to develop a multi-objective optimization design method to achieve performance improvement and radial thrust reduction for single-blade centrifugal pump impellers based on given specifications. To this end, the previously developed one-dimensional design method of single-blade centrifugal impellers was combined with Latin hypercube sampling, three-dimensional unsteady CFD analysis, Deep Neural Network, and multi-objective optimization method. Multi-objective optimization was performed using pump efficiency, head coefficient, and the root mean square of radial thrust coefficient as objective functions. The optimized impeller obtained showed approximately 3.5 % improvement in pump efficiency, about 18.1 % improvement in head coefficient, and around 17.1 % reduction in the root mean square of radial thrust coefficient in CFD analysis values compared to the original impeller obtained solely by the one-dimensional design method. The experimental validation showed that the optimized impeller improved pump efficiency by approximately 3.6 %, head coefficient by about 19.4 % compared to the original impeller, and demonstrated the usefulness of this optimization design method.
提高单叶片离心泵叶轮性能和减小径向推力的多目标优化设计方法
本研究旨在发展一种基于给定规格的单叶片离心泵叶轮性能提升和径向减推力的多目标优化设计方法。为此,将先前发展的单叶片离心叶轮一维设计方法与拉丁超立方体采样、三维非定常CFD分析、Deep Neural Network和多目标优化方法相结合。以泵效率、扬程系数和径向推力系数均方根为目标函数进行多目标优化。与单纯采用一维设计方法得到的叶轮相比,优化后的叶轮泵效率提高约3.5 %,扬程系数提高约18.1 %,径向推力系数均方根降低约17.1 %。实验验证表明,优化后的叶轮比原叶轮泵效率提高约3.6 %,扬程系数提高约19.4 %,验证了优化设计方法的有效性。
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来源期刊
CiteScore
5.90
自引率
3.80%
发文量
127
审稿时长
58 days
期刊介绍: The European Journal of Mechanics - B/Fluids publishes papers in all fields of fluid mechanics. Although investigations in well-established areas are within the scope of the journal, recent developments and innovative ideas are particularly welcome. Theoretical, computational and experimental papers are equally welcome. Mathematical methods, be they deterministic or stochastic, analytical or numerical, will be accepted provided they serve to clarify some identifiable problems in fluid mechanics, and provided the significance of results is explained. Similarly, experimental papers must add physical insight in to the understanding of fluid mechanics.
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