Volume 30 Issue 5
May  2015
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WANG Jie, LU Shan. Optimizing design of composite spindle of aero-engine with hybrid algorithm consisting of genetic algorithm and enumeration algorithm[J]. Journal of Aerospace Power, 2015, 30(5): 1171-1177. doi: 10.13224/j.cnki.jasp.2015.05.019
Citation: WANG Jie, LU Shan. Optimizing design of composite spindle of aero-engine with hybrid algorithm consisting of genetic algorithm and enumeration algorithm[J]. Journal of Aerospace Power, 2015, 30(5): 1171-1177. doi: 10.13224/j.cnki.jasp.2015.05.019

Optimizing design of composite spindle of aero-engine with hybrid algorithm consisting of genetic algorithm and enumeration algorithm

doi: 10.13224/j.cnki.jasp.2015.05.019
  • Received Date: 2013-12-08
  • Publish Date: 2015-05-28
  • For the case of coexistence of discrete and continuous variables in optimizing design of composite spindle, a hybrid algorithm consisting of genetic algorithm and enumeration algorithm was presented. From the prototype of an aero-engine low pressure turbine shaft, this hybrid algorithm was used to optimize ply angles and thickness of composite spindle for losing the weight of spindle under the premise of achieving the targets of static strength, critical speed and overall dimension. The results show that the hybrid algorithm can realize 5.54% and 3.87% extra weight loss for from 1 to 10 plies compared with full permutation algorithm and single genetic algorithm; and when plies numbers are greater than 6, the optimizing efficiency can be improved up to 3.1 times with using hybrid algorithm. Finally, the suggestion is given that the composite layer thickness is limited by strength and should not be too thin.

     

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