基于知识与遗传算法混合的薄壁多腔件加工元排序方法

Sequencing Method for Machining Thin-walled Multi-cavity Structural Parts for Aircraft Based on Knowledge and GA

针对航空薄壁多腔类结构件加工特征数量多、加工易变形导致工艺规划困难的问题,提出基于知识与遗传算法混合的薄壁多腔件加工元排序方法。通过知识规则在遗传算法中加入对染色体的重组步骤,增加染色体的有效性,通过建立分隔面关系矩阵与腔关系矩阵表达薄壁多腔件的阶梯对称铣削工艺,以加工质量、加工效率为优化目标进行遗传操作,最后通过实例验证了算法的有效性。

Aiming at the machining characteristics of the thin-walled multi-cavity structural parts for aircraft,such as machining quantity deformation and difficulty,this paper proposes a sequencing method for machining elements in which knowledge-based rules and GA（ genetic algorithm） are used. The knowledge-based rules are used to increase the effectiveness of chromosomes through adding the step to restructure chromosomes. The separating-face-relationship matrix and cavity-relationship matrix are built to express symmetrically stepped milling process. Its machining quality and efficiency are taken as optimal objective of the genetic algorithm. At last,the correctness of the proposed method is verified for instance.