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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Process planning optimization for the manufacture of injection moulds using a genetic algorithm
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Process planning optimization for the manufacture of injection moulds using a genetic algorithm

机译:使用遗传算法优化注塑模具制造的工艺计划

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摘要

This paper reports a real application of a computer-aided 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.
机译:本文报告了计算机辅助过程计划(CAPP)系统IMOLD_CAPP在注塑模具制造中的实际应用。模板和生成方法的组合用于此CAPP系统的开发。系统输入的是IMOLD开发的三维模具组件。在此,根据公司惯例,在计划模板中定义了特定类型模具组件的过程类型及其顺序,同时通过以下方法优化了计划模板中针对不同过程的机床,切削工具和切削条件的选择:基于遗传算法(GA)的方法。优化的目标功能是最大程度地减少总体处理时间。将优化的性能与基于模拟退火(SA)的算法进行比较,发现GA方法适合进行优化。根据他们的可用加工资源,预计该方法将适用于大多数模具车间。

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