• DocumentCode
    2250317
  • Title

    A data fusion based approach for evaluation of material loss in corroded aluminum panels

  • Author

    De, S. ; Gupta, K. ; Stanley, R.J. ; Steffes, G. ; Palmer, D. ; Zoughi, R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • fYear
    2009
  • fDate
    4-7 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Nondestructive Testing (NDT) is used to detect hidden corrosion in ageing aircraft structures. Use of any single NDT modality provides an incomplete picture of the corrosion environment. Data fusion techniques can be used for improved visualization and automated detection of hidden corrosion in multilayered structures. This work investigates a data fusion based technique using ultrasound measurements from corroded aircraft samples for estimating material loss. Experimental results are presented and suggestions for future work are made for evaluating residual structural integrity of the panels for a damage tolerance approach to corrosion mitigation.
  • Keywords
    aerospace components; aerospace materials; ageing; aircraft testing; aluminium; corrosion; multilayers; sensor fusion; structural panels; ultrasonic materials testing; Al; NDT; ageing aircraft structures; automated detection; corroded aluminum panels; damage tolerance approach; data fusion techniques; hidden corrosion; material loss; multilayered structures; nondestructive testing; residual structural integrity; Aerospace materials; Aging; Aircraft; Aluminum; Corrosion; Data visualization; Loss measurement; Nondestructive testing; Ultrasonic imaging; Ultrasonic variables measurement; Corrosion; PACS: 81.70.-q; Structural Analysis; data fusion; nondestructive evaluation; ultrasound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2009. ITSC '09. 12th International IEEE Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-5519-5
  • Electronic_ISBN
    978-1-4244-5520-1
  • Type

    conf

  • DOI
    10.1109/ITSC.2009.5309830
  • Filename
    5309830