航空发动机整体叶盘结构刚度的多目标优化

Multi-objective Optimization of Structural Stiffness of Aeroengine Multistage-blisk

针对航空发动机多级整体叶盘结构在工作过程中变形过大的问题,以参数化结构的多目标优化数学模型为基础,对代理模型生成的响应面进行遗传算法寻优,获取控制条件下的最佳刚度结构,并根据响应面的局部敏感度结果改进了结构方案。结果表明:运用多目标遗传算法能够有效实现多级整体叶盘的刚度优化,最终在控制质量仅增加10.5%的前提下,使最大轴向变形减小28.8%,最大总变形减小15.8%;提出的改进结构方案有效改善了结构的抗变形能力,进一步提高了结构的刚度优化潜力。

Aiming at the problem that the structure of aeroengine multistage-blisk was over-deformed during the operation process, the response surface generated by the agent model is optimized by the genetic algorithm based on the multi-objective optimization mathematical model of the parameterized structure.Optimum stiffness structure was obtained under control conditions.The structure scheme was improved based on the local sensitivity results of the response surface.The results show that the multi-objective genetic algorithm can effectively optimize the stiffness of multistage -blisk.The maximum axial deformation is reduced by 28.8% and the maximum total deformation is reduced by 15.8% on the premise that the control quality is only increased by 10.5%.The improved structural scheme effectively improves the deformation resistance of the structure and further improves the stiffness optimization potential of the structure.