Quality and Process Control of Nd: YAG - Laser Welding Using fuzzy Pattern Recognition Techniques for Multisensor Systems

M. Kuhl, R. Neugebauer
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引用次数: 4

Abstract

Quality monitoring is necessary for a stable manufacturing, especially in the case of laser welding processes. During the project a system was developed which allows the analysis of in process data by fuzzy pattern recognition methods. This resulted in improved prediction of seam irregularities as compared with conventional methods. The work was carried out in the framework of the MAINE cooperative project funded by the Free State of Saxony.
基于模糊模式识别技术的多传感器Nd: YAG激光焊接质量与工艺控制
质量监控是稳定制造的必要条件,特别是在激光焊接过程中。在该项目中,开发了一个系统,可以使用模糊模式识别方法对过程数据进行分析。与常规方法相比,这种方法提高了对煤层不规则性的预测。这项工作是在萨克森自由州资助的缅因合作项目框架内进行的。
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