复杂构型金属橡胶毛坯铺设路径规划

基于金属橡胶毛坯自动化铺设工艺，对遗传算法进行合理改进，进行了复杂构型金属橡胶毛坯铺设的定位销优化设计和路径规划。针对定位销优化设计和路径规划问题，建立了改进的编码、交叉、变异算子，并提出评价因子对遗传算法的迭代过程进行评价。优化的定位销排布和铺设路径可以较好地实现复杂构型金属橡胶毛坯铺设，铺设10层时，优化路径对应的目标函数b的值比经验路径小54%，路径规划作用显著。单层路径规模对铺设效果影响较小；单层路径规模不同时，毛坯内部接触状态随着铺设螺旋卷长度的增加趋于一致。为复杂构型金属橡胶毛坯铺设提供了理论依据。 

Paths planning of complicate shape metal rubber roughcast weaving

Based on metal rubber roughcast weaving process, the dowels and paths of complicate shape metal rubber roughcast weaving were designed with developed genetic algorithm. Code, crossover and mutation were improved for dowels and paths planning problem. An evaluation factor was presented to appraise iterative procedure of genetic algorithm. Complicate shape metal rubber roughcast can be knitted well with optimized dowels distribution and laying paths. Roughcast can be woven better evidently with optimized paths than traditional experiential paths. When roughcast was knitted to ten layers, the objective function b of optimized weaving was 54% smaller than experience weaving. Knitting quality was little influenced by paths scale in each layer. With the growing laying length, contact states of roughcasts woven with different paths scale in each layer reached accordance,providing a theoretical references, for complicate shape metal rubber roughcast weaving.