• DocumentCode
    2751585
  • Title

    A Multi-Channel On-Line Ultrasonic Flaw Detection System

  • Author

    Zhang, Hui ; Song, Guangde ; Kang, Yanjun ; Guan, Zhijian

  • Author_Institution
    State Key Lab. of Precision Meas. Technol. & Instrum., Tianjin Univ.
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    5290
  • Lastpage
    5293
  • Abstract
    Based on ultrasonic pulse echo theory, a multi-channel online ultrasonic flaw detection system is developed. It is an intelligent testing system, which is used to detect flaws online in steel plate production. In this system, fault inspection is carried out automatically. At the same time, multi-channel flaw echo and distance-amplitude-curve (DAC) are displayed on screen of PC. In addition, the sensitivity of system is self-correcting and system parameters can be set according to the practical inspection requirements. In this paper, system hardware structure is introduced and especially four-channel ultrasonic flaw detection card is presented in detail. Besides, the methods of high-speed wave acquisition and real-time data processing of flaw echo are described
  • Keywords
    flaw detection; inspection; plates (structures); steel manufacture; ultrasonic materials testing; data processing; distance-amplitude-curve; fault inspection; high-speed wave acquisition; intelligent testing system; multichannel flaw echo; multichannel online ultrasonic flaw detection system; steel plate production; system hardware structure; ultrasonic pulse echo theory; Data processing; Inspection; Instruments; Intelligent systems; Laboratories; Production systems; Pulse measurements; Steel; System testing; Ultrasonic variables measurement; data processing; flaw detection; ultrasonic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1714079
  • Filename
    1714079