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针对复合材料主轴优化设计中离散与连续变量共存的问题,提出了一种遗传算法与枚举法相结合的混合算法.以某航空发动机低压涡轮轴为原型,在满足静强度指标、临界转速及外廓尺寸要求前提下,利用该混合算法对复合材料主轴的铺层角度与厚度进行优化设计,以减轻主轴质量.结果表明:对于1~10层铺层,相比于全排列算法与单一遗传算法,混合算法能再减轻质量5.54%与3.87%;且当铺层数大于6时,混合算法计算效率能最多提高3.1倍.最后分析给出复合材料铺层厚度受强度的限制,不宜太薄的建议.
Aiming at the coexistence of discrete variables and continuous variables in the optimization design of composite spindles, a hybrid algorithm based on genetic algorithm and enumeration is proposed. Taking a low-pressure turbine shaft of an aero-engine as a prototype, the hybrid algorithm, which meets the requirements of static strength index, critical speed, The hybrid design is used to optimize the design of the composite material spindle’s axis and thickness to reduce the quality of the main shaft.The results show that compared with the full array algorithm and the single genetic algorithm , The hybrid algorithm can further reduce the mass of 5.54% and 3.87%, and the hybrid algorithm can increase the computational efficiency up to 3.1 times when the pavement layer number is greater than 6. Finally, the paper gives the composite layer thickness is limited by the strength, should not be too thin .