• DocumentCode
    3322823
  • Title

    GMR based eddy current system for defect detection

  • Author

    Wang Chao ; Zhi Ya ; Gao Peng

  • Author_Institution
    Tianjin Key Lab. of Process Meas. & Control, Tianjin Univ., Tianjin, China
  • Volume
    2
  • fYear
    2013
  • fDate
    16-19 Aug. 2013
  • Firstpage
    1052
  • Lastpage
    1056
  • Abstract
    The Giant Magneto Resistance (GMR) sensor is successfully used in eddy current testing because of its good low frequency detection characteristics and high sensitivity. In order to obtain more information about defects, this paper designed a GMR based eddy current system with Field Programmable Gate Array (FPGA) for defect detection. The system can get both the amplitude of the GMR sensor´s output signal and the phase related to the exciting current at the same time. Through a series of detection experiments with defects of different widths of 6mm, 8mm and 10mm, it is found that both the amplitude and the phase can clearly reflect the magnetic field changes caused by various defects. By comparing the data curves, it is proved that the phase information matches better with the real size of the defects than the amplitude information. The conclusion is beneficial for further quantitative defect detection.
  • Keywords
    eddy current testing; field programmable gate arrays; flaw detection; giant magnetoresistance; magnetic sensors; FPGA; GMR based eddy current system; defect detection; eddy current testing; field programmable gate array; giant magnetoresistance sensor; Current measurement; Demodulation; Eddy currents; Field programmable gate arrays; Magnetic field measurement; Magnetic fields; Probes; FPGA; defect; eddy current testing; giant magneto resistance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments (ICEMI), 2013 IEEE 11th International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-0757-1
  • Type

    conf

  • DOI
    10.1109/ICEMI.2013.6743214
  • Filename
    6743214