NC process reuse-oriented flexible process planning optimization approach for prismatic parts
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- 作者：Changhong Xu ; Shusheng Zhang ; Rui Huang…
- 关键词：NC process reuse ; Process planning optimization ; Inheritance mechanism ; Operation precedence graph
- 刊名：The International Journal of Advanced Manufacturing Technology
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：87
- 期：1-4
- 页码：329-351
- 全文大小：4,207 KB
- 刊物类别：Engineering
- 刊物主题：Industrial and Production Engineering
Production and Logistics
Mechanical Engineering
Computer-Aided Engineering and Design - 出版者：Springer London
- ISSN：1433-3015
- 卷排序：87
文摘
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.