Crack detection in aluminum parts by using ultrasound-excited infrared thermography

Xingwang Guo, Vladimir Vavilov

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

Ultrasound-stimulated IR thermography, thanks to its large-area imaging capability, high test productivity and safety, is a powerful tool for the inspection of cracks in heavy aluminum structures. In thick aluminum parts, the most important defect detection parameters are the differential temperature signal and signal-to-noise ratio (SNR), which typically reach their maximums at shortly (under 1 s) after the beginning of the ultrasonic excitation. In the IR inspection of non-metals, the ultrasonic excitation may be relatively long, while in the case of highly-conductive aluminum, short-pulse (burst) stimulation (from 0.4 to 1 s) is sufficient The crack detectability can be improved by evaluating temperature images at the times when maximum SNR values occur. Further enhancement of test results can be achieved by applying some data processing algorithms which can be 1D, i.e. applied to temperature evolutions in time, or 2D, i.e. applied to spatial coordinates, or a single image.

Original languageEnglish
Pages (from-to)149-156
Number of pages8
JournalInfrared Physics and Technology
Volume61
DOIs
Publication statusPublished - 23 Sep 2013

Keywords

  • Crack
  • Image processing
  • Ultrasonic infrared thermography
  • Vibrothermography
  • Wavelet analysis

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Condensed Matter Physics

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