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Impeller design for an axial-flow pump based on multi-objective optimization

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Field	Value

Title	Impeller design for an axial-flow pump based on multi-objective optimization

Creator	Park, Hong-Seok Miao, Fuqing Nguyen, Trung-Thanh

Subject	Axial-flow pump impeller Numerical experiment Group method of data handling Particle swarm optimization Design optimization

Description	183-190 This paper presents a design optimization process for an axial-flow pump impeller; in which geometrical parameters are optimized to increase the efficiency (<em>η</em>) and reduce the net positive suction head required (NPSHr). The design variables evaluated include the hub angle, chord angle, the cascade solidity of the chord, and blade thickness. To identify the relationships between geometrical parameters and efficiency as well as the net positive suction head required, a numerical simulation approach was applied in conjunction with a design of experiments (DOE) and group method of data handling (GMDH)-type neural networks with the meta-model. An integrated approach combining a multi-objective particle swarm optimization (MOPSO) algorithm and mapping method was used to generate Pareto diagram and determine the best optimal solution. The optimized design improved efficiency by 4.24% and reduced the net positive suction head required by approximately 11.68% relative to the initial design. Therefore, this work is expected to improve the performance of prototype axial-flow pumps.

Date	2018-07-20T09:21:55Z 2018-07-20T09:21:55Z 2018-07

Type	Article

Identifier	0975-1017 (Online); 0971-4588 (Print) http://nopr.niscair.res.in/handle/123456789/44719

Language	en_US

Rights	<img src='http://nopr.niscair.res.in/image/cc-license-sml.png'> <a href='http://creativecommons.org/licenses/by-nc-nd/2.5/in' target='_blank'>CC Attribution-Noncommercial-No Derivative Works 2.5 India</a>

Publisher	NISCAIR-CSIR, India

Source	IJEMS Vol.25(2) [April 2018]