Optimization of pumps as turbines blades based on SVM-HDMR model and PSO algorithm

doi:10.1177/16878140211034364

	Optimization of pumps as turbines blades based on SVM-HDMR model and PSO algorithm
	Jiang, Bingxiao 1; Yang, Junhu1,2 ; Wang, Xiaohui1,2 ; Miao, Senchun 1,2; Bai, Xiaobang 1,3
	2021-07
发表期刊	ADVANCES IN MECHANICAL ENGINEERING
ISSN	1687-8132
卷号	13 期号:7
摘要	In view of the poor performance of pumps as turbines (PAT) operation, and the problem that the structural parameters cannot be optimized in the whole domain, the hybrid model of support vector machine (SVM) model and high-dimensional model representation (HDMR) method is applied to the optimization of PAT blade. Specifically, a PAT was selected, and the surrogate model for PAT blade optimization was constructed with MATLAB, Creo, and ANSYS software. The particle swarm optimization (PSO) algorithm was used to predict the performance data by global optimization. Finally, numerical prediction and experimental methods were used to verify the predicted data. These proved the applicability of the hybrid model in the optimization of fluid machinery. The numerical simulation results show that at the optimal operating point, the numerical simulation efficiency of the optimized PAT is 5.49% higher than that of the prototype PAT, and the output power is 7.2% higher. The test results show that the external characteristic curve of the numerical simulation PAT is basically consistent with the test results. At the optimal operating point, the test efficiency of the optimized PAT is 5.1% higher than that of the prototype PAT, and the output power is 6.9% higher.
关键词	Pumps as turbines support vector machine high-dimensional model representation surrogate model particle swarm optimization numerical simulation test results
DOI	10.1177/16878140211034364
收录类别	SCOPUS ; SCIE
语种	英语
WOS研究方向	Thermodynamics ; Engineering
WOS类目	Thermodynamics ; Engineering, Mechanical
WOS记录号	WOS:000690893300001
出版者	SAGE PUBLICATIONS LTD
来源库	WOS
引用统计	被引频次：1[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/148768
专题	能源与动力工程学院
通讯作者	Yang, Junhu
作者单位	1.Lanzhou Univ Technol, Sch Energy & Power Engn, 287 Langongping Rd, Lanzhou 730050, Gansu, Peoples R China; 2.Key Lab Fluid Machinery & Syst, Lanzhou, Peoples R China; 3.Chongqing Pump Ind Co Ltd, Natl Enterprise Technol Ctr, Chongqing, 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	Jiang, Bingxiao,Yang, Junhu,Wang, Xiaohui,et al. Optimization of pumps as turbines blades based on SVM-HDMR model and PSO algorithm[J]. ADVANCES IN MECHANICAL ENGINEERING,2021,13(7).
APA	Jiang, Bingxiao,Yang, Junhu,Wang, Xiaohui,Miao, Senchun,&Bai, Xiaobang.(2021).Optimization of pumps as turbines blades based on SVM-HDMR model and PSO algorithm.ADVANCES IN MECHANICAL ENGINEERING,13(7).
MLA	Jiang, Bingxiao,et al."Optimization of pumps as turbines blades based on SVM-HDMR model and PSO algorithm".ADVANCES IN MECHANICAL ENGINEERING 13.7(2021).