发动机缸体加工方案选择与操作排序协同优化

Cooperative Optimization of Machining Scheme Selection and Operation Sequencing for Engine Cylinder

摘要:

提出一种基于蚁群算法的发动机缸体加工方案选择与操作排序协同优化方法.考虑到部分零件特征有多个可行加工方案，在每次总迭代中为此类特征随机选择一种加工方案，并根据特征约束矩阵和操作优先级系数自动生成对应的操作约束矩阵.通过子迭代中的遗传算法进行操作排序优化，以装夹、刀具和机床3类制造资源的综合变换次数最少为目标得出子最优解，并在总迭代中利用精英保留策略获得全局最优工艺路线.最后，通过复杂的发动机缸体实例验证了该方法的有效性.

Abstract:

An ant colony algorithm based cooperative optimization for machining scheme selection and operation sequencing of engine cylinder is proposed. Considering that features have alternative machining schemes, one machining scheme is chosen randomly for every feature in total iterations, and an operatingconstraint matrix is created automatically based on featureconstraint matrix and operation priority. Aiming at minimizing the transforming times of manufacturing resources that contain setups, tools and machine tools, a son optimal solution is found by the ant colony algorithm in the son iteration. In addition, a global optimal process line is ensured to be gotten through the usage of elitist preserving strategy in the total iteration. Finally, an engine cylinder case is illustrated to prove the validity of the proposed method.