{"title":"Multi-objective optimization design method for single-blade centrifugal pump impellers to improve performance and reduce radial thrust","authors":"Yasuyuki Nishi , Keito Konno , Satoshi Ono","doi":"10.1016/j.euromechflu.2025.204311","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":11985,"journal":{"name":"European Journal of Mechanics B-fluids","volume":"114 ","pages":"Article 204311"},"PeriodicalIF":2.5000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Mechanics B-fluids","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0997754625000925","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MECHANICS","Score":null,"Total":0}
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.
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.