• DocumentCode
    3123726
  • Title

    Quality analysis measurement for laser cutting

  • Author

    Roggero, Giulio ; Scotti, Fabio ; Sessa, F.S. ; Piuri, Vincenzo

  • Author_Institution
    Dipartimento di Elettronica e Inf., Politecnico di Milano, Italy
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    41
  • Lastpage
    44
  • Abstract
    A new approach to automated quality measurement of laser cut in industrial metal cutting processes is presented. The paper demonstrates how it is possible to exploit the link between the shape of the erupted sparks from the metallic piece and the final quality of the edges of the laser cut, and proposes a solution to automate the quality measurement. The analysis of the shape of the sparks is performed by using images from a camera during real-time functioning. The trade-off between accuracy and robustness versus complexity was considered in order to achieve a prototype solution working in real time
  • Keywords
    cutting; image processing; metallurgical industries; neural nets; quality control; real-time systems; camera; feature extraction; image processing; industrial metal cutting processes; laser cutting; neural networks; quality measurement; real-time system; sparks; Cameras; Cutting tools; Image analysis; Inspection; Laser beam cutting; Manufacturing industries; Metals industry; Shape measurement; Sparks; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual and Intelligent Measurement Systems, 2001, IEEE International Workshop on. VIMS 2001
  • Conference_Location
    Budapest
  • Print_ISBN
    0-7803-6568-2
  • Type

    conf

  • DOI
    10.1109/VIMS.2001.924898
  • Filename
    924898