• DocumentCode
    2574677
  • Title

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

  • Author

    Kuhl, Michael ; Neugebauer, Reimund ; Mickel, Paul-Michael

  • Author_Institution
    Fraunhofer Inst. for Machine Tools & Forming Technol., Chemnitz
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    908
  • Lastpage
    911
  • 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.
  • Keywords
    fuzzy set theory; laser beam welding; pattern classification; process monitoring; quality management; sensor fusion; fuzzy pattern recognition; industrial manufacturing system; inline process monitoring; laser welding seam; multisensor system; quality monitoring; Acoustic sensors; Chemical technology; Filters; Infrared detectors; Intelligent sensors; Monitoring; Pattern recognition; Sensor phenomena and characterization; Surface emitting lasers; Welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2007. ETFA. IEEE Conference on
  • Conference_Location
    Patras
  • Print_ISBN
    978-1-4244-0825-2
  • Electronic_ISBN
    978-1-4244-0826-9
  • Type

    conf

  • DOI
    10.1109/EFTA.2007.4416879
  • Filename
    4416879