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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.

:
Fulltext urn:nbn:de:0011-n-1205957 (1.9 MByte PDF)
MD5 Fingerprint: 844ef83d004c65f9a941c8cb3ed36d59
Created on: 31.3.2010


Japan Laser Processing Society -JLPS-:
LAMP 2009, the 5th International Congress on Laser Advanced Materials Processing : The 10th International Symposium on Laser Precision Microfabrication ; HPL 2009, the 5th International Symposium on High Power Laser Processing ; Kobe, June 29 - July 2, 2009. Congress program & technical digest
Tokyo: Sumitomo, 2009
6 pp.
International Congress on Laser Advanced Materials Processing (LAMP) <5, 2009, Kobe>
International Symposium on Laser Precision Microfabrication (LPM) <10, 2009, Kobe>
International Symposium on High Power Laser Processing (HPL) <5, 2009, Kobe>
English
Conference Paper, Electronic Publication
Fraunhofer IPM ()
cellular neural network (CNN); process control; closed loop; laser welding

Abstract
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.

: http://publica.fraunhofer.de/documents/N-120595.html