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International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
Add:
No.9 Gaoguannong,Daxue Road,Hangzhou,China
P.C:
310009
E-mail:
meem_contribute@163.com
Abstract: In order to explore the method to improve the comprehensive hydraulic performance of high-speed centrifugal pump, based on the geometric model of IS-60-50-158 high-speed pump impeller, multi-objective optimization design of high-speed pump was carried out.Firstly, the initial high-speed pump was simulated by numerical simulation method, and the design parameters were determined. Then, the optimization variables were determined and sampled to establish the approximate model between the impeller geometric parameter combination and the performance parameter. Finally, Pareto-based bi-indicator andreference-point non-dominated genetic algorithm (PB-NSGA-Ⅲ) was used to find out the geometric parameter combination meeting the performance requirements to optimize the high-speed pump impeller model. The optimization results and the flow field of the high-speed pump were compared and analyzed.Theresearch result show thatthe optimized impeller was used in this high-speed pump, and the numerical simulation analysis of the full flow channel show that the hydraulic efficiency at the design operating point is increased by 2.22%. The static pressure at the head of the blade is increased and the area of the lowest static pressure region is reduced. The numerical simulation results are in good agreement with the performance parameters obtained by the optimization method, which proves that the optimization method can quickly and reliably achieve the multi-objective hydraulic optimization design of the high-speed pump impeller.
Key words: high-speed centrifugal pump impeller; multi-objective optimal design; Pareto-based bi-indicator and reference-point non-dominated genetic algorithm(PB-NSGA-Ⅲ); approximate model; numerical simulation; hydraulic efficiency
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- Chinese Core Periodicals
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- Chinese Sci-tech Core Periodicals
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- SA, INSPEC Indexed
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- CSA: T Indexed
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- UPD:Indexed
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2010 Zhejiang Information Institute of Mechinery Industry
Technical Support：Hangzhou Bory science and technology
