Optimization design of centrifugal pump impeller based on multi-output Gaussian process regression

doi:10.1142/S0217984921503644

	Optimization design of centrifugal pump impeller based on multi-output Gaussian process regression
	Zhang, Renhui1,2 ; Gao, Liangde 1,2; Chen, Xuebing 1,2
	2021-07-30
发表期刊	MODERN PHYSICS LETTERS B
ISSN	0217-9849
卷号	35 期号:21
摘要	To overcome the problems of large calculation cost and high dependence on designers' experience, an optimization design method based on multi-output Gaussian process regression (MOGPR) was proposed. The hydraulic design method of centrifugal pump based on the MOGPR model was constructed under Bayesian framework. Based on the available excellent hydraulic model, the complex relationship between the performance parameters such as head, flow rate and the geometric parameters of centrifugal pump impeller was trained. The hydraulic design of the impeller for M125-100 centrifugal pump was performed by the proposed MOGPR surrogate model design method. The initial MOGPR design was further optimized by using the proposed MOGPR and NSGA-II hybrid model. The initial sample set for NSGA-II was designed by Latin hypercube design based on the MOGPR initial design. The relationship between the impeller geometry and the CFD numerical results of the sample set was trained to construct the surrogate model for pump hydraulic performance prediction. The MOGPR surrogate model was used to evaluate the objective function value of the offspring samples in NSGA-II multi-objective optimization. The comparison of the pump hydraulic performance between the optimized designs and the initial design shows that the efficiency and the head of the tradeoff optimal design are increased by 2.5% and 2.6%, respectively. The efficiency of the optimal head constraint design is increased by 3.2%. The comparison of the inner flow field shows that turbulent kinetic energy decreases significantly and flow separation is effectively suppressed for the optimal head constraint design.
关键词	Centrifugal pump impeller design MOGPR multi-objective optimization surrogate model
DOI	10.1142/S0217984921503644
收录类别	SCOPUS ; SCIE
语种	英语
WOS研究方向	Physics
WOS类目	Physics, Applied ; Physics, Condensed Matter ; Physics, Mathematical
WOS记录号	WOS:000678524200010
出版者	WORLD SCIENTIFIC PUBL CO PTE LTD
来源库	WOS
引用统计	被引频次：2[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/148757
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, Coll Energy & Power Engn, Lanzhou 730050, Gansu, Peoples R China; 2.Key Lab Fluid Machinery & Syst, Lanzhou 730050, Gansu, 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,Gao, Liangde,Chen, Xuebing. Optimization design of centrifugal pump impeller based on multi-output Gaussian process regression[J]. MODERN PHYSICS LETTERS B,2021,35(21).
APA	Zhang, Renhui,Gao, Liangde,&Chen, Xuebing.(2021).Optimization design of centrifugal pump impeller based on multi-output Gaussian process regression.MODERN PHYSICS LETTERS B,35(21).
MLA	Zhang, Renhui,et al."Optimization design of centrifugal pump impeller based on multi-output Gaussian process regression".MODERN PHYSICS LETTERS B 35.21(2021).

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