Volume 31 Issue 10
Oct.  2016
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Article Navigation >  Journal of Aerospace Power  > 2016  >  31(10): 2424-2431
LUO Ming, ZUO Zhi-tao, LI Hong-yang, LI Wen, CHEN Hai-sheng. Multi-objective optimization design of centrifugal compressor impeller based on BP artificial neural network[J]. Journal of Aerospace Power, 2016, 31(10): 2424-2431. doi: 10.13224/j.cnki.jasp.2016.10.015
Citation: LUO Ming, ZUO Zhi-tao, LI Hong-yang, LI Wen, CHEN Hai-sheng. Multi-objective optimization design of centrifugal compressor impeller based on BP artificial neural network[J]. Journal of Aerospace Power, 2016, 31(10): 2424-2431. doi: 10.13224/j.cnki.jasp.2016.10.015
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Multi-objective optimization design of centrifugal compressor impeller based on BP artificial neural network

doi: 10.13224/j.cnki.jasp.2016.10.015

  • 1. Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China;

  • 2. University of the Chinese Academy of Sciences, Beijing 100190, China

  • Received Date: 2015-01-15
  • Publish Date: 2016-10-28
    Abstract
  • The database of the centrifugal compressor impeller performance was given by Concept NREC software. The relationship of the impeller's main design parameters and performance was established by BP (back propagation) artificial neural network. Then the optimal array of main design parameters was acquired by the multi-objective genetic algorithm. This design method was used to satisfy Krain impeller's performance objective; the optimized impeller's efficiency and pressure ratio increased by 1.4% and 10.9%, respectively. Through discussion of artificial neural network model's reliability, multi-objective optimization model's principal component analysis and the impellers' CFD numerical simulation verification, the validity of objective functions and Pareto optimal solutions was proved, the effectiveness of the present centrifugal compressor design method was well confirmed.

     

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