ABSTRACT

Welding processes are influenced by many parameters. By merging data to multimodal information from multichannel images and signals of various welding parameters, the correlation of these and their influence on weld seam imperfections are investigated. The application of a multispectral area camera array enables a new approach on non-destructive testing particularly supported by the passive thermography. The results show the different cooling behaviour of several welding imperfections, such as porosity, and present the relation between incorrect welding parameters and imperfections.

中文翻译：

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结合多模态数据的MAG焊接工艺无损检测系统

抽象的

焊接过程受许多参数影响。通过将数据与来自多通道图像和各种焊接参数信号的多模态信息合并，研究了它们之间的相关性及其对焊缝缺陷的影响。多光谱区域相机阵列的应用为无损检测提供了一种新方法，特别是由被动式热成像技术支持。结果显示了几种焊接缺陷（例如孔隙率）的不同冷却行为，并给出了错误的焊接参数与缺陷之间的关系。