Volume 33 Issue 7
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Multi-objective collaborative robust optimization for turbine rotor radial deformation[J]. Journal of Aerospace Power, 2018, 33(7): 1537-1543. doi: 10.13224/j.cnki.jasp.2018.07.001
Citation: Multi-objective collaborative robust optimization for turbine rotor radial deformation[J]. Journal of Aerospace Power, 2018, 33(7): 1537-1543. doi: 10.13224/j.cnki.jasp.2018.07.001
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Multi-objective collaborative robust optimization for turbine rotor radial deformation

doi: 10.13224/j.cnki.jasp.2018.07.001
  • Received Date: 2017-01-10
  • Publish Date: 2018-07-28
    Abstract
  • A Multi-objective robust collaborative optimization method for turbine rotor radial deformation was presented. The influence of turbine rotor radial deformation was considered for turbine blade tip clearance and labyrinth seal clearance. The approximation function model of parameters with rotor and labyrinth seal radial deformation was built by the Kriging method based distributed collaborative response surface method (DCRSM). The single objective robust optimization result was generated by using those response surface approximation models. The ideal point method was selected to construct the multi-objective robust collaborative optimization model of turbine rotor and labyrinth seal radial deformation. The multi-objective collaboration robust optimization process was implemented. Compared with the results of single objective optimization, the results of presented collaborative robust optimization showed that the turbine rotor and labyrinth radial deformation standard deviation decreased by 2.6% and 4.9%, respectively. The proposed method provides a reference for turbine rotor parameters design.

     

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