面向加工中心的工艺方案优化技术

CNC-Based Optimized Machining Scheme

在全面考虑影响加工效率和质量的多个因素的基础上,使用多种优化方法,选择最优的工艺方案.首先用神经网络为每个加工特征选择合适的加工链,将不同特征的加工链组合成可行的加工方案集合,然后用遗传算法对加工方案排序,以辅助加工时间最少为优化目标,决策出最优的加工方案.将相关特征聚合为一个特征参加排序,大大减少了计算复杂度;最后,在聚类特征内部以刀具空行程最短为目标,规划刀具的移动路径.算法以某厂缸盖为对象进行实例验证.

An approach to a solution of sequencing machining operation on a machining center was proposed. The artificial neutral networks （ANN） was used to choose machining methods for each feature, the methods were combined to be possible machining schemes, and then genetic algorithm was applied to operation sequencing for the possible machining schemes with the minimization of machine idle times as objective function. The correlative machining features were clustered as a feature for sequencing to simplify the computation,and then the tools path was optimized for the feature with shortest idle path as object. A test part was selected to demonstrate the mechanism of this algorithm. The result shows that the method can improve operation optimization sequencing capability of process system.