• DocumentCode
    3541312
  • Title

    Application of FIB/SEM/EDXS tomographic spectral imaging and multivariate statistical analysis to the analysis of localized corrosion

  • Author

    Kotula, Paul G. ; Van Benthem, Mark H. ; Sorensen, N. Rob

  • Author_Institution
    Sandia Nat. Labs., Albuquerque, NM, USA
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    672
  • Lastpage
    675
  • Abstract
    Tomographic spectral imaging is a powerful technique for the 3D analysis of materials. The present work describes the application of this technique to the analysis of localized corrosion of a connector pin. Implemented via serial sectioning in a focused ion-beam/scanning electron microscope, electron-excited x-ray spectra were acquired from each voxel in a 3D array. The resultant tomographic spectral image was analyzed in its entirety with Sandia´s Automated eXpert Spectral Image Analysis multivariate statistical analysis software. The result of the analysis is a small number of chemical components which describe the 3D phase distribution in the volume of material sampled.
  • Keywords
    X-ray chemical analysis; X-ray imaging; X-ray spectra; corrosion; focused ion beam technology; scanning electron microscopy; statistical analysis; 3D analysis; 3D array; 3D phase distribution; FIB-SEM-EDXS tomographic spectral imaging; Sandia automated expert spectral image analysis multivariate statistical analysis software; chemical components; connector pin; electron-excited X-ray spectra; energy-dispersive X-ray spectrometer; focused ion-beam-scanning electron microscope; localized corrosion analysis; serial sectioning; Corrosion; Gold; Matrix decomposition; Principal component analysis; Scanning electron microscopy; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2012 IEEE
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    pending
  • Print_ISBN
    978-1-4673-0182-4
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/SSP.2012.6319791
  • Filename
    6319791