• DocumentCode
    1767618
  • Title

    Autonomous hole quality determination using image processing techniques

  • Author

    Kuzu, Ahmet ; Kuzu, Ali T. ; Rahimzadeh, Kaveh ; Bogasyan, Seta ; Gokasan, Metin ; Bakkal, Mustafa

  • Author_Institution
    Control Eng. Dept., Istanbul Tech. Univ., Istanbul, Turkey
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    966
  • Lastpage
    971
  • Abstract
    This paper introduces a technique which evaluate performance of hole quality after drilling process. Hole making is one of the most time consuming process in industry. For some applications the quality of holes are very crucial and be expected of tight tolerance from manufacturer. One of the most common device used by manufacturers to investigate the hole quality is coordinate measurement machines. However investment cost of coordinate measurement instrument machines are very high. Therefore a new image processing technique is proposed in this paper and coordinate measurement machine and image processing technique results were compared.
  • Keywords
    coordinate measuring machines; drilling; image processing; production engineering computing; quality control; autonomous hole quality determination; coordinate measurement machines; drilling process; hole making process; hole quality evaluation; image processing techniques; Brightness; Coordinate measuring machines; Drilling machines; Histograms; Image processing; Least squares approximations; Machining; drilling performance; hole quality; image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ISIE.2014.6864743
  • Filename
    6864743