Volume 31 Issue 1
Jan.  2016
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Article Navigation >  Journal of Aerospace Power  > 2016  >  31(1): 65-71
HUANG Jing-jing, ZHENG Long-xi, LIU Gang-qi, MEI Qing. Optimization algorithm and experiment of a two-disk rotor system[J]. Journal of Aerospace Power, 2016, 31(1): 65-71. doi: 10.13224/j.cnki.jasp.2016.01.009
Citation: HUANG Jing-jing, ZHENG Long-xi, LIU Gang-qi, MEI Qing. Optimization algorithm and experiment of a two-disk rotor system[J]. Journal of Aerospace Power, 2016, 31(1): 65-71. doi: 10.13224/j.cnki.jasp.2016.01.009
shu

Optimization algorithm and experiment of a two-disk rotor system

doi: 10.13224/j.cnki.jasp.2016.01.009

  • 1. School of Power and Energy, Northwestern Polytechnical University, Xi'an 71007;

  • 2. Aviation Key Laboratory of Aero-engine Vibration Technology, China Aviation Powerplant Research Institute, Aviation Industry Corporation of China, Zhuzhou Hunan 412002, China

  • Received Date: 2014-10-30
  • Publish Date: 2016-01-28
    Abstract
  • In order to analyze the performance difference of several optimization algorithms, a model of two-disk rotor system with typical 1-0-1 support scheme was established and the dynamic characteristics were analysed by finite element analysis technology. On this basis, the two-disk rotor system model was integrated to the multidisciplinary design optimization software ISIGHT. The positions of the two disks were selected as the optimization variables, the first order critical speed with the variation range of 10% was set as the constraint, and the optimization objective was to minimize the amplitudes of the two disks crossing the first order critical speed with several different algorithms including evolutionary optimization (EVOL), multi-island genetic algorithm (MIGA), neighborhood cultivation genetic algorithm (NCGA), non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) and Pointer. The transient experiment was carried out on a high-speed flexible rotor mockup. Experimental results indicated that NSGA-Ⅱ made the two disks' amplitudes decreased 76.94% and 67.42% respectively with the calculation of 240 points. It can be concluded that NSGA-Ⅱ was the best optimization algorithm for the rotor system of this type.

     

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