Integrative process chain optimization using a Genetic Algorithm
Integrative process chain optimization using a Genetic Algorithm
复制标题
使用遗传算法进行综合流程链优化
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
M. Dannenberg
中科院分区：
文献类型：
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作者：
B. Denkena;B. Behrens;F. Charlin;M. Dannenberg
对于锻造零件的生产，有必要沿工艺链沿着协调和优化生产阶段。这包括模具制造的主流工艺以及相关工艺链。到目前为止，这些过程和过程链的计划和优化是相互独立的，因为不同的，往往是相互矛盾的目标标准。本文提出了一种锻造工艺链整体优化的新方法。首先，对应用场景中的过程进行了系统的数学依赖性分析。在此基础上，通过使用遗传算法连续进行基于Pareto的工艺参数的整体优化。文章最后介绍和讨论的计算结果。
For the production of forged components, it is necessary to coordinate and optimize the production stages along the process chain. This includes the mainstream processes as well as the associated process chain of the die manufacturing. Up to now, these processes and process chains are planned and optimized independent from each other because of the different and often contradictory target criteria. In this paper, a new approach for a holistic optimization of forged process chains will be presented. At first, a systematic mathematical dependency-analysis between the processes of an application scenario was carried out. Based on this analysis, a holistic Pareto-based optimization of the process parameters by the use of a Genetic Algorithm was consecutively performed. The article ends with the presentation and discussion of the computational results.