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Omnidirectional algorithm for the full penetration hole extraction in laser welding processes

: Nicolosi, L.; Tetzlaff, R.; Höfler, H.; Blug, A.; Carl, D.; Abt, F.

Postprint urn:nbn:de:0011-n-1220238 (806 KByte PDF)
MD5 Fingerprint: 56ba3a88989007deec681f0cabfe2c3a
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Erstellt am: 15.7.2010

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Circuits and Systems Society:
ECCTD 2009, 19th European Conference on Circuit Theory and Design. Proceedings. Vol.1 : 23-27 August 2009, Antalya, Turkey
New York, NY: IEEE, 2009
ISBN: 978-1-4244-3896-9
ISBN: 978-1-4244-3895-2
European Conference on Circuit Theory and Design (ECCTD) <19, 2009, Antalya>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPM ()
cellular neural network (CNN); closed loop system; laser welding; SIMD processor

In this paper a new cellular neural network (CNN) based visual algorithm for welding processes is proposed. The idea described in can be used in processes, whose welding direction has a constant orientation well known a priori. The algorithm proposed in the following is omnidirectional in the sense that it does not depend on the welding direction. This fact enables closed loop control systems for welding processes with curved seeds. On Eye-RIS systems processing times of about 110 mus are achievable for both acquisition and evaluation of full frame images.