Research Papers: Flows in Complex Systems

Multicondition Optimization and Experimental Measurements of a Double-Blade Centrifugal Pump Impeller

[+] Author and Article Information
Houlin Liu

e-mail: liuhoulin@ujs.edu.cn

Kai Wang

Assistant Researcher
e-mail: wangkai@ujs.edu.cn

Shouqi Yuan

e-mail: Shouqiy@ujs.edu.cn

Minggao Tan

Associate Researcher
e-mail: tmgwxf@ujs.edu.cn

Yong Wang

Assistant Researcher
e-mail: wylq@ujs.edu.cn

Liang Dong

Assistant Researcher
e-mail: edongliang@hotmail.com
National Research Center of Pumps and
Pumping System Engineering and Technology,
Jiangsu University,
Zhenjiang, Jiangsu, 212013, P.R. China

1Corresponding author.

Manuscript received July 4, 2012; final manuscript received November 5, 2012; published online December 21, 2012. Assoc. Editor: Edward M. Bennett.

J. Fluids Eng 135(1), 011103 (Dec 21, 2012) (13 pages) Paper No: FE-12-1315; doi: 10.1115/1.4023077 History: Received July 04, 2012; Revised November 05, 2012

In order to improve internal unsteady flow in a double-blade centrifugal pump (DBCP), this study used major geometric parameters of the original design as the initial values, heads at three conditions (i.e., 80% design flow rate, 100% design flow rate, and 120% design flow rate) as the constraints conditions, and the maximum of weighted average efficiency at the three conditions as the objective function. An adaptive simulated annealing algorithm was selected to solve the energy performance calculation model and the supertransitive approximation method was applied to fix optimal weight factors of individual objectives. On the basis of hydraulic performance optimization, three-condition automatic computational fluid dynamics (CFD) optimization of impeller meridional plane for the DBCP was realized by means of Isight software integrated Pro/E, Gambit, and Fluent software. The shroud arc radii R0 and R1, shroud angle T1, hub arc radius R2, and hub angle T2 on the meridional plane were selected as the design variables and the maximum of weighted average hydraulic efficiency at the three conditions was chosen as the objective function. Performance characteristic test and particle image velocimetry (PIV) measurements of internal flow in the DBCP were conducted. Performance characteristic test results show that the weighted average efficiency of the impeller after the three-condition optimization has increased by 1.46% than that of original design. PIV measurements results show that vortex or recirculation phenomena in the impeller are distinctly improved under the three conditions.

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Fig. 2

Sketch of (a) test bench and (b) DBCP model

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Fig. 3

Energy performance curve of DBCP

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Fig. 4

Sketch of measurement region

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Fig. 5

Equivalent calibration

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Fig. 6

Relative velocity distribution of impeller

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Fig. 7

Multicondition optimization process of DBCP

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Fig. 8

Energy performance comparison with calculation and experiment

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Fig. 9

Optimization process of correct coefficients

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Fig. 11

Impeller meridional plane of DBCP

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Fig. 12

Optimization results

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Fig. 13

The impeller meridional planes—before and after optimization

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Fig. 14

Energy performance curves of optimized DBCP

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Fig. 15

Sketches of blades phase conditions

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Fig. 16

Relative velocity distributions of impeller passage at 80%Qd

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Fig. 17

Relative velocity distributions of impeller passage at 100%Qd

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Fig. 18

Relative velocity distributions of impeller passage at 120%Qd




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