• DocumentCode
    1718723
  • Title

    A model for inverting eddy-current data and reconstructing three-dimensional flaws embedded in anisotropic advanced composite materials

  • Author

    Barkeshli, S. ; Sabbagh, H.A. ; Radecki, D.J. ; Shamee, B.

  • Author_Institution
    Sabbagh Associates Inc., Bloomington, IN, USA
  • fYear
    1989
  • Firstpage
    1562
  • Abstract
    The authors present a three-dimensional linearized model for inverting eddy-current data to reconstruct flaws in advanced anisotropic composite materials, such as graphite epoxy. This problem is significant for enhancing the detection capability for the variety of failure modes in composites, such as delamination, fiber breakage, flaws, etc. The inversion scheme takes the form of an integral equation, which then is discretized by means of the method of moments. The measured data are then inverted by means of the conjugate gradient algorithm. Examples are shown in which a linear classifier is used to improve convergence of the conjugate gradient algorithm. As an example, a 0.11-in.-thick woven graphite epoxy material was simulated for the inversion algorithm.<>
  • Keywords
    composite materials; eddy current testing; 3D flaws reconstruction; anisotropic composite materials; conjugate gradient algorithm; convergence; delamination; eddy-current data; failure modes detection; fiber breakage; graphite epoxy; integral equation; inversion algorithm; inversion scheme; linear classifier; measured data; method of moments; three-dimensional linearized model; Anisotropic magnetoresistance; Character generation; Composite materials; Conductivity measurement; Current measurement; Electromagnetic measurements; Electromagnetic scattering; Integral equations; Slabs; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 1989. AP-S. Digest
  • Conference_Location
    San Jose, CA, USA
  • Type

    conf

  • DOI
    10.1109/APS.1989.135021
  • Filename
    135021