Volume 26 Issue 12
Dec.  2011
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Article Navigation >  Journal of Aerospace Power  > 2011  >  26(12): 2798-2804
ZHANG Zi-yang, XIE Shou-sheng, WANG Hai-tao, LONG Men, MIAO Zhuo-guang. Contacting optimization in high pressure spool finite element parameters updating based on adaptive cloud PSO model[J]. Journal of Aerospace Power, 2011, 26(12): 2798-2804.
Citation: ZHANG Zi-yang, XIE Shou-sheng, WANG Hai-tao, LONG Men, MIAO Zhuo-guang. Contacting optimization in high pressure spool finite element parameters updating based on adaptive cloud PSO model[J]. Journal of Aerospace Power, 2011, 26(12): 2798-2804.
shu

Contacting optimization in high pressure spool finite element parameters updating based on adaptive cloud PSO model

  • 1.

    The Engineering Institute, Air Force Engineering University, Xi'an 710038, China

  • 2.

    Telecommunication Engineering Institute, Air Force Engineering University, Xi'an 710077, China

  • Received Date: 2011-01-05
  • Rev Recd Date: 2011-05-08
  • Publish Date: 2011-12-28
    Abstract
  • A method to describe the complex contacting surfaces was propounded to update finite element(FE) model of high pressure spool in aero-engine.It was posed as the minimization of an error function defined in time domain.The minimization was performed by using a novel particle swarm optimization method based on adaptive cloud distributing model,which constituted the main contribution in this work.In this algorithm,when the solution was close to the minimum,the weights of particle distribution were at the top of the cloud model which can find the nearest minima accurately,and when this algorithm tended to be unstable,the weights were at the bottom of the cloud model,which lowered the chance to relapse into local optimization in the process of solution convergence.The method has been tested through a simulated function model and FE model of high pressure spool.The performance of the proposed adaptive algorithm is more effective than those of other related algorithm with which it is compared.

     

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