Detection of Subsurface Metal Oxidation with Thermal Imaging

Masoud Ghandehari, Alexey Sidelev

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We introduce thermographic imaging as a non-destructive evaluation method for detection of hidden corrosion or delamination of coating on metals or other substrates. A hybrid experimental-numerical technique using long wave, broad band imaging for the standoff and quantitative analysis of the interface is introduced. Time lapsed measurements of surface temperature is carried out, followed by numerical simulation of the corresponding thermal signature. Results of damage detection using thermal imagery were compared with substrate wall thickness measured by a thickness gauge. It is concluded that imaging approach provides measures of metal loss, at levels less than the variations in the metal wall manufacturing tolerance, highlighting corroded areas which would otherwise be undetectable using sensors for measuring metal thickness.

Original languageEnglish (US)
Title of host publicationSmart Sensors, Measurement and Instrumentation
PublisherSpringer International Publishing
Pages241-252
Number of pages12
DOIs
StatePublished - 2018

Publication series

NameSmart Sensors, Measurement and Instrumentation
Volume28
ISSN (Print)2194-8402
ISSN (Electronic)2194-8410

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Instrumentation
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Ghandehari, M., & Sidelev, A. (2018). Detection of Subsurface Metal Oxidation with Thermal Imaging. In Smart Sensors, Measurement and Instrumentation (pp. 241-252). (Smart Sensors, Measurement and Instrumentation; Vol. 28). Springer International Publishing. https://doi.org/10.1007/978-3-319-70715-0_20