Title :
Quality and Process Control of Nd: YAG - Laser Welding Using fuzzy Pattern Recognition Techniques for Multisensor Systems
Author :
Kuhl, Michael ; Neugebauer, Reimund
Author_Institution :
Fraunhofer Inst. for Machine Tools & Forming Technol., Chemnitz
Abstract :
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. The work was carried out in the framework of the MAINE cooperative project funded by the Free State of Saxony.
Keywords :
data analysis; fuzzy systems; laser beam welding; pattern recognition; process control; quality control; sensor fusion; fuzzy pattern recognition; laser welding process; multisensor system; process control; process data analysis; quality control; quality monitoring; Fuzzy control; Fuzzy systems; Laser stability; Manufacturing processes; Monitoring; Multisensor systems; Neodymium; Pattern recognition; Process control; Welding;
Conference_Titel :
Emerging Technologies and Factory Automation, 2006. ETFA '06. IEEE Conference on
Conference_Location :
Prague
Print_ISBN :
0-7803-9758-4
DOI :
10.1109/ETFA.2006.355387
