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Real time closed loop control of full penetration keyhole welding with cellular neural network cameras

: Abt, F.; Blug, A.; Nicolosi, L.; Dausinger, F.; Höfler, H.; Tetzlaff, R.; Weber, R.

Volltext (PDF; )

Journal of Laser Micro/Nanoengineering. Online journal 6 (2011), Nr.2, S.131-137
ISSN: 1880-0688
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IPM ()
cellular neural network (CNN); process control; closed loop; laser welding

Camera based in-process control for laser welding enables flexible image processing which allows the adaption of the system to different processes and quality features. A closed loop control system with a Cellular Neural Network Camera was implemented into a laser welding machine. The system is surveying the contour of the full penetration hole with a frame rate of over 10 kHz for both, acquisition and evaluation of area images. As a result the system reaches and holds the full penetration state automatically. This paper shows the latest experimental results including the extension to direction independent weldings.