Optimization process planning using hybrid genetic algorithm and intelligent search for job shop machining.
Optimization process planning using hybrid genetic algorithm and intelligent search for job shop machining.
复制标题
DOI：
10.1007/s10845-010-0382-7
复制
发表时间：
2011-08-01
影响因子：
8.3
通讯作者：
Bahreininejad, Ardeshir
中科院分区：
文献类型：
--
作者：
Salehi, Mojtaba;Bahreininejad, Ardeshir
关键词：
计算机辅助工艺设计是一个相当复杂和困难的过程，工艺优化是其关键技术。零件的良好工艺计划基于两个要素建立：（1）零件操作的优化顺序;（2）每个操作的机器、切削刀具和刀具进入方向（TAD）的优化选择。在本工作中，工艺规划分为初步规划，和二次/详细规划。在初始阶段，分析了顺序约束和聚类约束作为工序排序中的强制约束集合，并采用智能搜索策略，生成可行序列。然后，在详细规划阶段，利用遗传算法对初始可行序列进行剪枝，得到基于优化约束的优化工序序列，以及对每道工序的机床、刀具和刀具的优化选择，作为一个加性约束集合。本工作的主要贡献是对零件的操作顺序进行优化，并同时利用智能搜索和遗传算法对每个操作的机器选择、刀具和TAD进行优化。
Optimization of process planning is considered as the key technology for computer-aided process planning which is a rather complex and difficult procedure. A good process plan of a part is built up based on two elements: (1) the optimized sequence of the operations of the part; and (2) the optimized selection of the machine, cutting tool and Tool Access Direction (TAD) for each operation. In the present work, the process planning is divided into preliminary planning, and secondary/detailed planning. In the preliminary stage, based on the analysis of order and clustering constraints as a compulsive constraint aggregation in operation sequencing and using an intelligent searching strategy, the feasible sequences are generated. Then, in the detailed planning stage, using the genetic algorithm which prunes the initial feasible sequences, the optimized operation sequence and the optimized selection of the machine, cutting tool and TAD for each operation based on optimization constraints as an additive constraint aggregation are obtained. The main contribution of this work is the optimization of sequence of the operations of the part, and optimization of machine selection, cutting tool and TAD for each operation using the intelligent search and genetic algorithm simultaneously.
登录
查看更多内容
影响因子：
8.3
作者：
Zhang, Haipeng;Gen, Mitsuo;Seo, Yoonho
通讯作者：
Seo, Yoonho
DOI：
10.1080/0951192021000025742
发表时间：
2003-04-01
影响因子：
4.1
作者：
Alam, MR;Lee, KS;Zhang, YF
通讯作者：
Zhang, YF
影响因子：
9.2
作者：
Ding, L;Yue, Y;Parkin, R
通讯作者：
Parkin, R
影响因子：
9.2
作者：
Li, WD;Ong, SK;Nee, AYC
通讯作者：
Nee, AYC
影响因子：
9.2
作者：
Reddy, SVB;Shunmugam, MS;Narendran, TT
通讯作者：
Narendran, TT