The use of laser scanners in industrial laser welding applications is increasing. Welding spatters are challenging if a high quality is required. A control system for spatters is currently being developed, and this study focuses on the validation of a robust spatter detection algorithm. To validate the detection algorithm, artificial spatter images are created. These images provide the ground truth concerning the number of spatters and can therefore be used to improve the recognition quality of the detection algorithm. As a result, this paper describes a method for validating a spatter detection algorithm, which can recognize spatters with a high accuracy.
Das Remote-Laserstrahlschweißen (RLS) mit Scanneroptiken gewinnt in der industriellen Anwendung aufgrund seiner hohen Flexibilität weiter an Bedeutung. Am iwb wird eine Systemtechnik für diesen Schweißprozess entwickelt, die in der Lage sein soll, auftretende Schweißspritzer automatisiert zu erkennen und daraus eine Qualitätsbeurteilung abzuleiten. In diesem Fachartikel wird das Konzept zur automatischen Überwachung des Schweißprozesses vorgestellt.
Remote laser welding using scanning optics is gaining importance in industrial use, due to its flexibility. For this reason, a system technology for automated spatter detection is being developed at iwb. The collected data of spatter characteristics is used to automatically generate a welding quality report. This article will present the overall concept composed of a scanning optics, a process camera, and a processing unit for an automated monitoring of the remote laser welding process.
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