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Novel algorithm for the real time multi-feature detection in laser beam welding

: Nicolosi, L.; Tetzlaff, R.; Felix, A.; Andreas, H.; Blug, A.; Höfler, H.


IEEE Circuits and Systems Society:
IEEE International Symposium on Circuits and Systems, ISCAS 2012 : Seoul, South Korea, 20 - 23 May 2012
Piscataway: IEEE, 2012
ISBN: 978-1-4673-0219-7 (electronic)
ISBN: 978-1-4673-0218-0
S.181-184 (Vol.1)
International Symposium on Circuits and Systems (ISCAS) <2012, Seoul>
Fraunhofer IPM ()

In this paper, a novel visual multi-feature detecting algorithm for the real time monitoring and control of laser beam welding (LBW) processes is discussed. It was implemented in the Eye-RIS vision system (VS) which includes a focal plane processor programmable by typical Cellular Neural Network (CNN) operators. The algorithm is based on the extraction of spatters -explosions of rear melt pool -to provide on-line quality information about the process and on the detection of the full penetration hole (FPH) for the laser power control to maintain a constant penetration depth into the workpiece. A single image evaluating step is performed in about 90 s.