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Evaluation of Scanner-Based Focus Finding Methods on Rough Surfaces

机译:基于扫描仪的粗糙表面聚焦方法的评估

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Automated laser beam focus positioning for precise work piece alignment is highly important in laser processing. Ideally, the laser used for processing of the work piece should also be used for fo-cus finding. For this a confocal camera can be used in front of a galvanometric scanner and objec-tive. However, in typical laser processing applications the roughness of the sample in combination with the laser spot size and the coherence of the laser provide a confocal camera image with a dis-tinct speckle pattern. This speckle pattern can impede the determination of the focal position with respect to the work piece, especially if simple evaluation algorithms are applied. In this work we in-vestigate the performance of several more advanced image evaluation methods on confocal camera images for work pieces of different materials, different roughness under normal and tilted incidence of the laser beam. We show that two investigated algorithms provide a positioning uncertainty that is well below the Rayleigh length of the laser beam.
机译:在激光加工中,实现精确工件对准的自动激光束焦点定位非常重要。理想地,用于加工工件的激光也应用于焦点查找。为此,可以在振镜扫描仪和物镜前使用共焦相机。但是,在典型的激光加工应用中,样品的粗糙度与激光光斑的大小以及激光的相干性相结合,可提供共焦相机图像具有明显的斑点图案。这种斑点图案会阻碍相对于工件的焦点位置的确定,特别是如果应用简单的评估算法。在这项工作中,我们研究了几种更高级的图像评估方法在共焦相机图像上的性能,这些共聚焦相机图像用于在激光束的垂直入射和倾斜入射下不同材质,不同粗糙度的工件。我们表明,两个研究算法提供的定位不确定性远低于激光束的瑞利长度。

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