• DocumentCode
    778957
  • Title

    Saw-wave excitation eddy-current NDE based on HTS RF SQUID

  • Author

    He, Dongfeng ; Yoshizawa, M.

  • Author_Institution
    Fac. of Eng., Iwate Univ., Morioka, Japan
  • Volume
    13
  • Issue
    3
  • fYear
    2003
  • Firstpage
    3803
  • Lastpage
    3806
  • Abstract
    Using a high-temperature superconductor radio frequency superconducting quantum interference device planar gradiometer as the sensor, we developed a saw-tooth wave excitation eddy-current nondestructive evaluation device. By analyzing the amplitudes of harmonics in the response signal of the sample, we successfully detected artificial defects in an aluminum plate and estimated the defect depth. We also demonstrated the possibility of constructing three-dimensional profiles of a defect. In our program for data processing, we employed a multiplying method to calculate the amplitudes of the harmonics, which was much faster than that using fast Fourier transforms. During the experiment, the x-y stage movement, data acquisition and data processing could be performed simultaneously.
  • Keywords
    SQUID magnetometers; computerised instrumentation; data acquisition; eddy current testing; flaw detection; harmonic analysis; high-temperature superconductors; HTS RF SQUID; aluminum plate; artificial defect detection; data acquisition; data processing program; defect depth estimation; high-temperature superconductor radio frequency superconducting quantum interference device planar gradiometer; multiplying method; response signal harmonics amplitudes; saw-wave excitation eddy-current NDE; three-dimensional defect profile; x-y stage movement; Aluminum; Amplitude estimation; Data processing; Harmonic analysis; High temperature superconductors; Radio frequency; Radiofrequency interference; SQUIDs; Signal analysis; Superconducting devices;
  • fLanguage
    English
  • Journal_Title
    Applied Superconductivity, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8223
  • Type

    jour

  • DOI
    10.1109/TASC.2003.816202
  • Filename
    1230243