Multi-objective optimization of a high efficiency and suction performance for mixed-flow pump impeller

Jun Won Suh, Hyeon Mo Yang, Yong In Kim, Kyoung Yong Lee, Jin Hyuk Kim, Won Gu Joo, Young Seok Choi

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This research aimed to systematically maximize hydraulic efficiency and suction specific speed for mixed-flow pump using a commercial CFD packages and optimization tool. First, mixed-flow pump was initially designed according to the traditional design method, and then the blade shape was re-designed by focusing on the hydraulic efficiency. Second, the efficiency-oriented optimum design was selected as the reference model. The objective was to improve the suction specific speed under the specific condition of the mixed-flow pump through the multi-objective optimization technique. The incidence angles and meridional plane were optimized through a systematic optimization process, namely, central composite method and response surface approximation. The optimization results indicated that the suction specific speed values of the reference and optimum model were 88.13 and 289.65, respectively. Furthermore, the hydraulic efficiency was kept within ± 1% compared to the reference model as the constraint condition. The hydraulic efficiency of the reference and optimum model were 91.44% and 90.40%, respectively. The reasons for the improved efficiency and suction performance were investigated through internal flow field analysis. Finally, the reliability of the optimization was demonstrated by comparing the numerical and experimental results.

Original languageEnglish
Pages (from-to)744-762
Number of pages19
JournalEngineering Applications of Computational Fluid Mechanics
Volume13
Issue number1
DOIs
Publication statusPublished - 2019 Jan 1

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Modelling and Simulation

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