• DocumentCode
    2486868
  • 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
  • fYear
    2006
  • fDate
    20-22 Sept. 2006
  • Firstpage
    1329
  • Lastpage
    1332
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2006. ETFA '06. IEEE Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    0-7803-9758-4
  • Type

    conf

  • DOI
    10.1109/ETFA.2006.355387
  • Filename
    4178220