• DocumentCode
    2092971
  • Title

    On-Line Bubble Inspection Method for Automated Vacuum Casting Controlling System

  • Author

    Zhang, Haiguang ; Hu, Qingxi ; Liu, Yuanyuan ; Wang, Jiawei ; Chi, Zhaofu ; Huang, Jie

  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper analyzes the craft of vacuum casting and proposes modularized frame of a new automated vacuum casting controlling system which is integrated by four sub-modules that are main-control module, electric control module, execution module and detection module. Specially, because bubbles affect quality of casting and realization of full automated control, this paper studied an on-line automated bubbles inspection method and build experiment roof to realize it. The inspection method uses a high speed industrial CCD digital camera to acquire automatically bubbles´ images which are processed and analyzed. The processing algorithms are introduced in detail. The processed results can act as control signal to automatically eliminating bubbles. Finally, we set parameters of some key parts and tested effect of this system through experiments. The results proved the controlling effect significantly better than that of existing vacuum control system form efficiency and quality of eliminating bubbles. In a word, the system has a good market application prospect and high economic value.
  • Keywords
    automatic optical inspection; bubbles; edge detection; feature extraction; vacuum casting; automated vacuum casting controlling system; edge detection; electric control module; execution module; feature extraction; online bubble inspection; Automatic control; Casting; Charge coupled devices; Control systems; Digital cameras; Electrical equipment industry; Image analysis; Inspection; Signal processing; Vacuum systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5301780
  • Filename
    5301780