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NC process reuse-oriented flexible process planning optimization approach for prismatic parts

机译:面向数控工艺重用的棱柱形零件柔性工艺计划优化方法

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摘要

NC process reuse is a new strategy to generate the process scheme for parts with higher efficiency. However, the existing process planning approaches based on NC process reuse are few and far from the requirements of actual machining. To address this urgent industrial need, this paper proposes a novel NC process reuse-oriented flexible process planning optimization approach for prismatic parts with the objective of minimizing total manufacturing cost. Firstly, the NC process candidate inheritance mechanisms are explored to generate the NC process candidates for query subparts efficiently and automatically. Secondly, the NC process for each query subpart is selected using the roulette wheel approach in terms of the reusability. Then, through the analysis of feature attributes, the precedence constraint feature-driven characteristic is revealed to determine the precedence between operations. Moreover, the precedence and distances between operations are formulated in an operation precedence graph (OPG). Finally, a hybrid ant colony algorithm (ACA) and simulated annealing (SA) approach based on OPG is presented to achieve the global optimal NC process scheme for the part. In the experiments, a prototype system based on CATIA is developed and a prismatic part is conducted to illustrate the application effectiveness of the proposed approach. The experimental results show that our approach can achieve highly satisfactory results and outperform other approaches.
机译:NC过程重用是一种新策略,可为零件产生更高效率的过程方案。然而,基于NC工艺重用的现有工艺计划方法很少且与实际加工的要求相差甚远。为了解决这一迫切的工业需求,本文提出了一种新颖的,面向棱柱零件的面向NC工艺重用的柔性工艺计划优化方法,目的是将总制造成本降至最低。首先,探索数控加工候选者的继承机制,以高效,自动地生成用于查询子部分的数控加工候选者。其次,根据可重用性,使用轮盘赌法选择每个查询子部分的NC处理。然后,通过特征属性的分析,揭示优先约束特征驱动的特征,以确定操作之间的优先级。而且,在操作优先级图(OPG)中制定了操作之间的优先级和距离。最后,提出了一种基于OPG的混合蚁群算法(ACA)和模拟退火(SA)方法,以实现零件的全局最优数控加工方案。在实验中,开发了一种基于CATIA的原型系统,并进行了一个棱角分明的部分,以说明该方法的应用有效性。实验结果表明,我们的方法可以取得令人满意的结果,并且优于其他方法。

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