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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2015, Vol. 36 ›› Issue (6): 1858-1866.doi: 10.7527/S1000-6893.2014.0220

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Layup optimization design and analysis of super lightweight composite wing

FENG Yan1, ZHENG Xitao1, WU Shuyi2, LIU Zhendong1   

  1. 1. School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China;
    2. Center for Nano and Micro Mechanics, Tsinghua University, Beijing 100084, China
  • Received:2014-07-22 Revised:2014-08-25 Online:2015-06-15 Published:2014-09-23
  • Supported by:

    Project of Graduation Design at Northwestern Polytechnical University (GCKY9002)

Abstract:

In order to enhance the value of P/W (the ratio of load to mass) of super lightweight composite wing structure to a possibly highest level under the given configurations, this paper develops a structural optimization framework to obtain the optimal layups. The optimization framework focuses on three aspects: the total thickness of the plies, the proportion of plies in each orientation angle and the stacking sequences. Firstly, based on the initial designed wing, the first two aspects are achieved by the structural optimization on ANSYS. Then, to quantify the effect of material distribution on the structural efficiency (P/W), a response surface of P/W with respect to the material distribution in the design region is acquired. Therefore, this paper obtains the most effective material distribution and this method can provide a new approach to analyze the layups. Then, based on the results of structural optimization, this paper launches a genetic algorithm process to optimize the stacking sequences and finally obtains the most effective layups. Moreover, the optimized wing of this paper is manufactured and tested. As the results show, the numerical results fit the experimental data extremely well, the relative error of the failure load is -1.91% and the relative error of stiffness is only 1.10%. Meanwhile, when compared with the initial design, the optimization framework causes an increase of 70.23% in the value of P/W (ignore the winglets), which means that the optimization framework of this paper is reasonable and effective.

Key words: composites, ratio of load to mass, optimization design, structure optimization, genetic algorithms

CLC Number: