Process planning optimization for the manufacture of injection moulds using a genetic algorithm
Process planning optimization for the manufacture of injection moulds using a genetic algorithm
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DOI：
10.1080/0951192021000025742
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发表时间：
2003-04-01
影响因子：
4.1
通讯作者：
Zhang, YF
中科院分区：
文献类型：
--
作者：
Alam, MR;Lee, KS;Zhang, YF
本文介绍了注塑模计算机辅助工艺设计（CAPP）系统IMOLD_CAPP的真实的应用。本CAPP系统的开发采用了模板法和生成式方法相结合的方法。系统的输入是IMOLD开发的三维模具组件。在这里，工艺类型和它们的顺序为特定类型的模具组件的计划模板中定义的基础上，公司的做法，而选择的机床，刀具和切削条件的计划模板中的不同工艺的基础上的遗传算法（GA）的方法进行优化。优化的目标函数是最小化总处理时间。优化的性能进行了比较与基于模拟退火（SA）的算法，GA-方法被发现是适当的优化。这种方法预计将适用于大多数模具车间的基础上，他们可用的加工资源。
This paper reports a real application of a computeraided process planning (CAPP) system, IMOLD_CAPP, for the manufacture of injection moulds. A combination of a template and a generative approach is used for the development of this CAPP system. The input to the system is the three-dimensional mould components developed by IMOLD. Here, the process-types and their sequences for a particular type of mould component are defined in the plan template based on company practice, while selection of machine tools, cutting tools, and cutting conditions for different processes in the plan template are optimized by a method based on genetic algorithms (GAs). The objective function of optimization is to minimize overall processing time. The performance of the optimization is compared with an algorithm based on simulated annealing (SA), and the GA-method is found to be appropriate for the optimization. This approach is expected to be applicable in most mould shops based on their available machining resources.