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Failure recognition and online processing control in laser beam welding

 
: Böske, L.; Kreutz, E.W.; Petereit, J.; Abels, P.; Kaierle, S.; Kratzsch, C.

E.O. Paton Electric Welding Institute:
Laser technologies in welding and materials processing, LTWMP 2003 : Proceedings of International Conference
Kiev, 2003
ISBN: 966-95847-3-6
6 pp.
International Conference Laser Technologies in Welding and Materials Processing (LTWMP) <2003, Katsiveli, Ukrain>
English
Conference Paper
Fraunhofer ILT ()

Abstract
By means of ISO 9000 and other by law enforced rules the manufacturing industry is forced to document and control the quality of their products. With the aim to improve the quality of the manufactured products and the reliability of the processing an improved understanding of the observability and controllability is desired which only be achieved by reliable online processing control systems.
Actual quality monitoring systems commonly use spatially integrating plasma sensors like photo diodes as detectors. Recent research work and publications show that in the near future the importance of processing diagnosis systems using imaging devices like cameras as detectors will steadily grow. The advantage of such systems is that they provide the information about the spatial distribution of the monitored radiation source, thus allowing a deeper view into processing characteristics than spatial integrating sensors can give.
Based upon a high-speed camera an online processing control system is described which can be adapted for different applications like welding or cutting. An overview over the capabilities of camera-based processing monitoring systems is given in comparison to photo detector based approaches with examples from the latest research work and an outlook to further developments.

: http://publica.fraunhofer.de/documents/N-23495.html