Direct Shape Optimization and Parametric Analysis of a Vertical Inline Pump via Multi-Objective Particle Swarm Optimization
Xingcheng Gan,
Wenjie Wang,
Ji Pei,
Shouqi Yuan,
Yajing Tang and
Majeed Koranteng Osman
Additional contact information
Xingcheng Gan: National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China
Wenjie Wang: National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China
Ji Pei: National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China
Shouqi Yuan: National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China
Yajing Tang: National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China
Majeed Koranteng Osman: National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China
Energies, 2020, vol. 13, issue 2, 1-18
Abstract:
The vertical inline pump is a single-suction single-stage centrifugal pump with a curved inlet pipe before the impeller, which usually causes a significant increase of hydraulic losses in the inline pump. Considering the matching relationship between the inlet pipe and impeller, a multi-objective direct optimization based on the MOPSO of the inlet pipe and impeller was carried out to broaden the efficient operating area of the vertical inline pump. Bezier curves were adopted to control the profiles of the inlet pipe and impeller and 39 coordinates of the control points and the blade number were selected as the optimization variables. The efficiencies of the inline pump at the part-load and nominal conditions were chosen as the objective functions, which were obtained by the automatic simulation program. A dramatic improvement in pump performance was found after optimization. In the set of Pareto solutions, the maximum increases of efficiency at part-load and nominal conditions were 8.06% and 7.33% respectively. It also reported that the inlet pipe with longer horizontal length and lower bend curvature could reduce the hydraulic losses of the inlet pipe and increase the pump performance.
Keywords: multi-objective optimization; shape optimization; MOPSO; vertical inline pump; hydraulic performance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)
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