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Multipoint and Multiobjective Optimization of a Centrifugal Compressor Impeller Based on Genetic Algorithm

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  • Xiaojian Li
  • Zhengxian Liu
  • Yujing Lin

Abstract

The design of high efficiency, high pressure ratio, and wide flow range centrifugal impellers is a challenging task. The paper describes the application of a multiobjective, multipoint optimization methodology to the redesign of a transonic compressor impeller for this purpose. The aerodynamic optimization method integrates an improved nondominated sorting genetic algorithm II (NSGA-II), blade geometry parameterization based on NURBS, a 3D RANS solver, a self-organization map (SOM) based data mining technique, and a time series based surge detection method. The optimization results indicate a considerable improvement to the total pressure ratio and isentropic efficiency of the compressor over the whole design speed line and by 5.3% and 1.9% at design point, respectively. Meanwhile, surge margin and choke mass flow increase by 6.8% and 1.4%, respectively. The mechanism behind the performance improvement is further extracted by combining the geometry changes with detailed flow analysis.

Suggested Citation

  • Xiaojian Li & Zhengxian Liu & Yujing Lin, 2017. "Multipoint and Multiobjective Optimization of a Centrifugal Compressor Impeller Based on Genetic Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-18, October.
    • Handle: RePEc:hin:jnlmpe:6263274
    DOI: 10.1155/2017/6263274
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    Cited by:

    1. Wei Li & Jisheng Liu & Pengcheng Fang & Jinxin Cheng, 2021. "A Novel Surface Parameterization Method for Optimizing Radial Impeller Design in Fuel Cell System," Energies, MDPI, vol. 14(9), pages 1-25, May.
    2. Shuo Zhang & Wenqian Xu & Shuhua Yang & Fuan Lu & Huashu Dou, 2022. "Performance Enhancement of a Centrifugal Compressor by Designing a Tandem Cascade Diffuser," Energies, MDPI, vol. 15(13), pages 1-17, June.

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