Optimization of centrifugal pump blade based on high-dimensional hybrid model and genetic algorithm

doi:10.13245/j.hust.200722

	Optimization of centrifugal pump blade based on high-dimensional hybrid model and genetic algorithm
	Jiang, Bingxiao 2; Yang, Junhu 1,2; Bai, Xiaobang 2; Wang, Xiaohui 1,2
刊名	Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
	2020-07-23
卷号	48 期号:7 页码:128-132
关键词	Centrifugal pumps Computational efficiency Computational fluid dynamics Curve fitting Efficiency Numerical models Software testing Support vector machines Blade profile optimizations Centrifugal pump impellers High dimensional model representation Low specific speed centrifugal pump Operating points Simulation efficiency Simulation performance Surrogate modelling
ISSN号	16714512
DOI	10.13245/j.hust.200722
英文摘要	A high-dimensional hybrid model based on machine learning was proposed to optimize the centrifugal pump blade.A low specific speed centrifugal pump was selected, and the centrifugal pump impeller blade was taken as the research object.By fitting the blade profile, the multi-variable parameters were separated.The surrogate modelling of centrifugal pump blade profile optimization was constructed by using the support vector machine (SVM), high-dimensional model representation (HDMR) and computational fluid dynamics (CFD) software through machine learning of training set.The multi-variable surrogate model was solved by genetic algorithm (GA), and the highest efficiency point of the centrifugal pump and the geometric parameters of the blade profile were predicted.The prediction data was verified by numerical simulation and experimental study.Results show that the numerical simulation performance curve is in good agreement with the experimental results.At the design operating point, the numerical simulation efficiency value optimized by the surrogate model is 2.61% higher than that of the prototype pump, and the head is 0.82 m higher;the test efficiency value is 2.1% higher than that of the prototype pump, and the head is 0.75 m higher, proving the validity of the high-dimensional hybrid surrogate model. © 2020, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.
语种	中文
出版者	Huazhong University of Science and Technology
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/115173]
专题	能源与动力工程学院新能源学院
作者单位	1.Key Laboratory of Fluid Machinery and Systems, Lanzhou University of Technology, Lanzhou; 730050, China 2.School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou; 730050, China;
推荐引用方式 GB/T 7714	Jiang, Bingxiao,Yang, Junhu,Bai, Xiaobang,et al. Optimization of centrifugal pump blade based on high-dimensional hybrid model and genetic algorithm[J]. Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition),2020,48(7):128-132.
APA	Jiang, Bingxiao,Yang, Junhu,Bai, Xiaobang,&Wang, Xiaohui.(2020).Optimization of centrifugal pump blade based on high-dimensional hybrid model and genetic algorithm.Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition),48(7),128-132.
MLA	Jiang, Bingxiao,et al."Optimization of centrifugal pump blade based on high-dimensional hybrid model and genetic algorithm".Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 48.7(2020):128-132.