›› 2012, Vol. ›› Issue (06): 1415-1420.

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Soving the self-excited pulsed nozzle structural parameters of the model by adaptive particle swarm algorithm

ZHOU Li-kun1,2, LIU Hong-zhao1   

  1. 1. Faculty of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China;
    2. Equipment and Transportation Department, Engineering University of CAPF, Xi'an 710086, China
  • Received:2011-09-15 Online:2012-11-01

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Abstract: In order to facilitate the design and manufacture of the self-excited pulsed nozzle(SEPN), a structural parameter model was built by analyzing the structure of the nozzzle. An adaptive particle swarm optimization(APSO) algorithm was proposed to solve the model of the nozzle. Taking the maximum of the jet impact force as the target the structural parameters of SEPN were optimized. The performances of the model and the algorithm were validated by experiments, and the accurate boundary constraints of the model were obtained. The results showed that the built model is reasonable, the results calculated by APSO algorithm were in good agreement with experiment ones, solving the problem that the boundary conditions of the design and manufacture of SEPN were difficult to express qualitatively.

Key words: mechanical design, self-excited pulsed nozzle, structural parameter model, adaptive particle swarm optimization(APSO) algorithm

CLC Number: 

  • TH137.53
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