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Methods for a multisensorsystem for in-line process- and quality monitoring of welding seams using fuzzy pattern recognition

 
: Neugebauer, Reimund; Kuhl, M.; Mickel, P.-M.

:
presentation urn:nbn:de:0011-n-638480 (2.5 MByte PDF)
MD5 Fingerprint: d66fe488896c7dac450a0f3e9b5056ae
Created on: 14.4.2011


IEEE Industrial Electronics Society:
ETFA 2007, 12th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings CD-ROM : September 25-28, 2007, Patras - Greece
New York, NY: IEEE, 2007
ISBN: 1-4244-0826-1
ISBN: 978-1-4244-0826-9
pp.908-911
Conference on Emerging Technologies and Factory Automation (ETFA) <12, 2007, Patras>
English
Conference Paper, Electronic Publication
Fraunhofer IWU ()
laser welding; quality monitoring; process monitoring; fuzzy pattern recognition; Laser-Schweißen; Qualitätsüberwachung; Prozessüberwachung; Mustererkennung; Multisensorsystem

Abstract
Due to many advantages such as low heat input and high welding speed, laser-welding technology is increasingly used for manufacturing. It is important for the user of laser welding technologies to optimally use the plant capacities, to ensure high availability, and to avoid downtimes, rejections and rectifications of rejects. In order to solve the respective problems, the Fraunhofer Institute for Machine Tools and Forming Technology, in cooperation with Volkswagen Sachsen AG and other partners, is developing a multi-sensor system for in-line process monitoring based upon fuzzy pattern recognition.

: http://publica.fraunhofer.de/documents/N-63848.html