基于花授粉算法的曲面薄壁件定位布局优化

优化定位布局是减小薄壁件装夹变形的重要手段，现有研究大多以节点法向变形最小为优化目标而忽略其他方向上的变形，为此提出了一种新的基于花授粉算法的夹具布局优化方法。针对曲面薄壁件，在建立法向约束定位模型的基础上，通过应变能来描述所有方向上的变形，以薄壁件的整体应变能最小为目标，结合花授粉算法和基于Python语言的参数化有限元分析，实现薄壁件的定位布局寻优。最后以飞机蒙皮定位布局优化为例验证方法的有效性，并通过与遗传算法的对比表明，花授粉算法在优化薄壁件的定位布局时具有更优的性能。

Fixture Locating Layout Optimization of Curved Thin-walled Parts Based on FDA

Optimizing the fixture layout of the locating elements was an important means to reduce clamping deformations of thin-walled parts. The normal deformations were taken as the optimization objective in most of the previous studies, while the deformations in other directions were ignored. Based on FPA, a new method used to optimize the fixture locating layouts was proposed herein. At first, the locating model under normal constraints for curved thin-walled parts was established, the deformations in all directions were described by the strain energy. Then, this method, aimed at minimizing the overall strain energy of curved thin-walled parts, combined FPA and parametric finite element analysis based on Python language to realize the optimization of fixture locating layouts. Finally, the effectiveness of the proposed method was validated by the aircraft skin locating layout optimizations, and the comparison results with genetic algorithm(GA) show that the FPA outperforms the GA in terms of the convergence speed and robustness in the thin-walled part fixture locating layout optimization.