• DocumentCode
    3267252
  • Title

    Tool wear measurement on basis of optical sensors, vision systems and neuronal networks (application milling)

  • Author

    Weis, Wolfgang

  • Author_Institution
    Inst. of Machine Tools & Production Sci., Karlsruhe Univ., Germany
  • fYear
    1993
  • fDate
    28-30 Sep 1993
  • Firstpage
    134
  • Lastpage
    138
  • Abstract
    The system for tool wear measurement described above enables one to measure the flank wear of each single insert of a milling cutter with high precision and in the working range of a machine tool. A comparison of the results of the vision system with those of a measuring microscope verifies the method of optical tool monitoring. Further examinations concentrate on the one hand on the optimization of the system for an industrial use and on the other hand on various methods to analyze the image data. The use of neuronal networks might help to process the pixel information in a much shorter time. An automatic calculation of tool offset values will also be needed in future
  • Keywords
    CCD image sensors; computer vision; factory automation; machine tools; machining; monitoring; wear; CCD cameras; milling; neuronal networks; optical sensors; optical tool monitoring; pixel information; tool wear measurement; vision systems; Biological neural networks; Data analysis; Image analysis; Machine tools; Machine vision; Milling; Monitoring; Optical microscopy; Optical sensors; Optimization methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    WESCON/'93. Conference Record,
  • Conference_Location
    San Francisco, CA
  • ISSN
    1095-791X
  • Print_ISBN
    0-7803-9970-6
  • Type

    conf

  • DOI
    10.1109/WESCON.1993.488423
  • Filename
    488423