This paper deals with the detection and localization of impurities such as release agent residues and fingerprints on fiber-reinforced plastic surfaces in an inline process step. This information can be used to carry out a locally individual and controlled surface pretreatment using laser radiation in order to improve the adhesion conditions. In this paper, surfaces from polyamide 6 reinforced with glass fiber are considered. To detect the impurities, inline images of the joining surfaces are taken using a laser line triangulation system. These image data are then examined with a specially developed algorithm of digital image processing. The real-time algorithm is based on the method of material-specific threshold values. In addition to real impurities, the algorithm was validated with artificial impurities. The central result of this work is the detection and local impurities of release agent residues and fingerprints down to a detail size of 0.3 mm.

中文翻译：

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用于纤维增强塑料粘接的个性化和可控激光束预处理工艺——第一部分：部件表面杂质的光学检测

本文涉及在线工艺步骤中纤维增强塑料表面上的脱模剂残留和指纹等杂质的检测和定位。该信息可用于使用激光辐射进行局部单独和受控的表面预处理，以改善粘附条件。在本文中，考虑了用玻璃纤维增​​强的聚酰胺 6 的表面。为了检测杂质，使用激光线三角测量系统拍摄连接表面的在线图像。然后使用专门开发的数字图像处理算法检查这些图像数据。实时算法基于材料特定阈值的方法。除了真实的杂质外，该算法还通过人工杂质进行了验证。