Knowledge Mining of Low Specific Speed Centrifugal Pump Impeller Based on Proper Orthogonal Decomposition Method
Zhang, Renhui1; Chen, Xuebing1; Luo, Jiaqi2
2021-05
发表期刊Journal of Thermal Science
ISSN1003-2169
卷号30期号:3页码:840-848
摘要

To clarify the complex relation between the pump blade shape and its corresponding hydraulic performance, the knowledge mining method of centrifugal pump impeller based on proper orthogonal decomposition (POD) was proposed. The pump blade shape was parameterized by cubic Bezier curve. The Latin hypercube design method was employed to supply the necessary samples for producing the perturbations of blade wrap angle, and blade angle at inlet and outlet. The hydraulic efficiency and head were optimized by NSGA-II and RBF hybrid algorithm. The Pareto-optimal solutions were obtained. In order to further illustrate the relationship between the centrifugal pump blade shape and its hydraulic performance, the POD method was used to discover the effects of optimized blade shape to the flow solutions. For the optimization of centrifugal pump MH48-12.5, blade shape and relative velocity field in impeller from Pareto-optimal solutions were analyzed. The results demonstratethat larger blade angle and smaller wrap angle increase the average kinetic energy in impeller, resulting in higher pump head design. Smaller blade angle and larger wrap angle decrease the velocity gradient from the pressure side to suction side, resulting in smaller hydraulic loss and higher efficiency design. © 2020, Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature.

关键词Centrifugal pumps Impellers Kinetic energy Kinetics Mining Optimal systems Pareto principle Velocity Centrifugal pump impellers Hydraulic efficiency Hydraulic performance Latin hypercube designs Low specific speed centrifugal pump Pareto optimal solutions Proper orthogonal decomposition method Proper orthogonal decompositions
DOI10.1007/s11630-020-1356-5
收录类别SCI ; SCIE ; EI
语种英语
WOS研究方向Thermodynamics ; Engineering
WOS类目Thermodynamics ; Engineering, Mechanical
WOS记录号WOS:000563727700002
出版者Science Press
EI入藏号20203609121843
EI主题词Data mining
EI分类号502.1 Mine and Quarry Operations ; 601.2 Machine Components ; 618.2 Pumps ; 723.2 Data Processing and Image Processing ; 931 Classical Physics ; Quantum Theory ; Relativity ; 961 Systems Science
来源库WOS
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/148397
专题能源与动力工程学院
通讯作者Zhang, Renhui
作者单位1.Lanzhou Univ Technol, Sch Energy & Power Engn, Lanzhou 730050, Peoples R China;
2.Zhejiang Univ, Sch Aeronaut & Astronaut, Hangzhou 310027, Peoples R China
第一作者单位能源与动力工程学院
通讯作者单位能源与动力工程学院
第一作者的第一单位能源与动力工程学院
推荐引用方式
GB/T 7714
Zhang, Renhui,Chen, Xuebing,Luo, Jiaqi. Knowledge Mining of Low Specific Speed Centrifugal Pump Impeller Based on Proper Orthogonal Decomposition Method[J]. Journal of Thermal Science,2021,30(3):840-848.
APA Zhang, Renhui,Chen, Xuebing,&Luo, Jiaqi.(2021).Knowledge Mining of Low Specific Speed Centrifugal Pump Impeller Based on Proper Orthogonal Decomposition Method.Journal of Thermal Science,30(3),840-848.
MLA Zhang, Renhui,et al."Knowledge Mining of Low Specific Speed Centrifugal Pump Impeller Based on Proper Orthogonal Decomposition Method".Journal of Thermal Science 30.3(2021):840-848.
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