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Quality and process control of Nd:YAG-laser welding using fuzzy pattern recognition techniques for multisensor systems

: Kuhl, M.; Neugebauer, Reimund


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Conference on Emerging Technologies & Factory Automation 2006 : Prague, Czech Republic, September 20 - 22, 2006
Piscataway, NJ: IEEE, 2006
ISBN: 0-7803-9758-4 (print)
ISBN: 1-4244-0681-1
International Conference on Engineering Technologies and Factory Automation (ETFA) <11, 2006, Prag>
Conference Paper
Fraunhofer IWU ()
Laserstrahlschweißen; Qualitätskontrolle; Multisensorsystem; Fuzzy Mustererkennung; laser welding; quality and process control; multisensor systems; fuzzy pattern recognition

Quality monitoring is necessary for a stable manufacturing, especially in the case of laser welding processes. During the project a system was developed which allows the analysis of in process data by fuzzy pattern recognition methods. This resulted in improved prediction of seam irregularities as compared with conventional methods.