Investigation of the Potential for FTIR as a Nondestructive Inspection Technique for Aircraft Coating Degradation

Abstract

Polyurethane-based aircraft coating degradation was examined using Diffuse Reflectance Infrared Fourier Transform spectroscopy (DRIFTs). Two sample sets were aged in an autoclave; each containing four samples. Sample set A contained two as-cured samples and two samples treated to a level of visual degradation. Sample set B contained one sample left as-cured and three samples of differing degradation. DRIFTs spectra were collected on sample set B and singular value decomposition (SVD) was used to reveal trends between the degradation levels. Linear discriminant analysis (LDA) was then applied to the SVD coefficients to determine the most accurate spectral band for classification of unknown degradation. The 1220-850 cm-1 band proved to be the most accurate at discerning between degradation levels with 98.3% accuracy. The approach was then applied to sample set A using one each of the as-cured and degraded samples as unknown degradation levels. The prediction accuracy of LDA was 100% for the as-cured sample, but only 28% for the visibly degraded sample in the fingerprint region. When the misclassification cost was adjusted, the accuracy

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Document Details

Document Type
Technical Report
Publication Date
Mar 27, 2014
Accession Number
ADA598862

Entities

People

  • Hans G. Korth

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircrafts
  • Chemical Reactions
  • Chemistry
  • Corrosion Inhibition
  • Data Science
  • Databases
  • Discriminant Analysis
  • Factor Analysis
  • Information Science
  • Materials
  • Mobile Devices
  • Pattern Recognition
  • Polymers
  • Spectra
  • Spectroscopy

Readers

  • Analytical Chemistry
  • Regression Analysis.
  • Surface Coatings Technology.