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Quality and process control of laser welding using multisensorsystems and methods of pattern recognition

 
: Kuhl, M.; Mickel, P.-M.; Seidel, M.

:
Volltext urn:nbn:de:0011-n-638438 (978 KByte PDF)
MD5 Fingerprint: ab10ad83e389898b8ecad03c7aaaaa2b
Erstellt am: 14.4.2011


Geiger, M.:
Laser assisted net shape engineering 5. Vol.2 : Proceedings of the 5th LANE 2007, Erlangen, September 25 - 28, 2007
Bamberg: Meisenbach, 2007
ISBN: 978-3-87525-261-3
S.957-966
International Conference on Laser Assisted Net Shape Engineering (LANE) <5, 2007, Erlangen>
Englisch
Konferenzbeitrag, Elektronische Publikation
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. For example, the proportion of laser welding seams in car-body construction at VW Saxony has increased from 5 % to 35 % during the last years. 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 GmbH and other partners, is developing a multi-sensor system for in-line process monitoring based upon fuzzy pattern recognition. The work was carried out in the frame of the Cooperative Project MAINE X, supported by the Free State of Saxony.

: http://publica.fraunhofer.de/dokumente/N-63843.html