Institutional Repository of Coll Energy & Power Engn
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 |
ISSN | 1003-2169 |
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 |
DOI | 10.1007/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 | |
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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