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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
© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Created on: 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
pp.177-180
European Conference on Circuit Theory and Design (ECCTD) <19, 2009, Antalya>
English
Conference Paper, Electronic Publication
Fraunhofer IPM ()
cellular neural network (CNN); closed loop system; laser welding; SIMD processor

Abstract
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.

: http://publica.fraunhofer.de/documents/N-122023.html