• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2022, Vol. 58 ›› Issue (4): 165-173.doi: 10.3901/JME.2022.04.165

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Multi-objective Optimization of Ply Parameters for Wind Turbine Blade

DONG Xinhong1, SUN Pengwen1, ZHANG Lanting1, WANG Zongtao1,2   

  1. 1. School of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051;
    2. Research Institute, Beiqi Foton Motor Co., Ltd., Beijing 102206
  • Received:2021-05-02 Revised:2021-08-02 Online:2022-02-20 Published:2022-04-30

Abstract: The design of blade layer is a complex coupling process of multi-parameter and multi-object, and the performance of the blade mainly depends on the ply parameters. Through deducing the relationship between stiffness invariants of positive axis and bending-torsion stiffness matrix, establishing the mathematical relationship between equivalent stiffness model of laminate and the ply stacking sequence, the quantification of ply stacking sequence is realized. The nonlinear coupling mathematical model between ply parameters and blade properties is constructed by a combination of uniform test design method, numerical simulation and regression analysis. The effects of single parameter and pairwise interactions of ply parameters on blade’ stiffness and strength are analyzed. To achieve multi-objective optimization of blade strengthand stiffness, the analytic hierarchy method is used to calculatethe weight of every single-objective function, and the multi-objective optimization mathematical model of blade is established. The ply parameters of the optimal blade comprehensive performance is obtained based on simulated annealing algorithm, which is 45° of ply angle, 58% of ±x° ply thickness ratio and [±x°/0°/90°/±x°]TN of ply stacking sequence. The results show that the maximum displacement and Tsai-wu failure factor of the optimized blade are reduced by 2.79% and 5.87%, respectively, and the properties of blade are improved. The effectiveness and correctness of the proposedoptimization method of multi-parameter and multi-object is verified.

Key words: multi-objective optimization, ply parameter, quantification of ply stacking sequence, mathematical model, wind turbine blade

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