Thermal nondestructive testing of corrosion in aviation aluminum panels and data processing algorithms

Xingwang Guo, V. Vavilov, V. Shiryaev

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Rear-surface corrosion on aviation aluminum panels is evaluated by infrared thermal nondestructive testing (TNDT). The corrosion detection capability of the experiment setup is analyzed. The validity of theoretical analysis and some available data processing algorithms are verified. In the inspection of a reference sample with flat-bottomed hole surrogates of corrosion, the highest signal-to-noise ratio (SNR) is ensured by Fourier transformation in time domain; the corrosion detection limit has been estimated as about 10% in defect areas with diameter larger than 10 mm on 1.8 mm-thick aluminum panels. The inspection of a naturally-corroded aircraft panel shows that high SNR values can be provided by original thermal images or simple processing algorithms, such as averaging, however the validity of some advanced algorithms, such as pulsed phase thermography (PPT), principle component analysis (PCA), polynomial fitting and correlation analysis, is doubtful in detecting naturally-corroded aircraft panels. The thermal NDT of the aircraft aluminum sample is analyzed by numerical solution to the corresponding 3D heat conduction problem, the theoretical temperature distribution and evolution are similar to the measured values. A well known 1D corrosion characterization approach is verified on aviation aluminum plates, and is proven to be valid.

Original languageEnglish
Pages (from-to)208-214
Number of pages7
JournalJixie Gongcheng Xuebao/Journal of Mechanical Engineering
Volume45
Issue number3
DOIs
Publication statusPublished - Mar 2009

Fingerprint

Aviation
Corrosion
Nondestructive examination
Aluminum
Testing
Aircraft
Inspection
Signal to noise ratio
Principle Component Analysis
Thermal Infrared
Detection Limit
Fourier Transformation
Correlation Analysis
Temperature Distribution
Heat Conduction
Heat conduction
Averaging
Time Domain
Theoretical Analysis
Temperature distribution

Keywords

  • Aluminum
  • Corrosion
  • Evaluation
  • Infrared thermography
  • Thermal nondestructive testing

ASJC Scopus subject areas

  • Computer Science Applications
  • Mechanical Engineering
  • Applied Mathematics

Cite this

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abstract = "Rear-surface corrosion on aviation aluminum panels is evaluated by infrared thermal nondestructive testing (TNDT). The corrosion detection capability of the experiment setup is analyzed. The validity of theoretical analysis and some available data processing algorithms are verified. In the inspection of a reference sample with flat-bottomed hole surrogates of corrosion, the highest signal-to-noise ratio (SNR) is ensured by Fourier transformation in time domain; the corrosion detection limit has been estimated as about 10{\%} in defect areas with diameter larger than 10 mm on 1.8 mm-thick aluminum panels. The inspection of a naturally-corroded aircraft panel shows that high SNR values can be provided by original thermal images or simple processing algorithms, such as averaging, however the validity of some advanced algorithms, such as pulsed phase thermography (PPT), principle component analysis (PCA), polynomial fitting and correlation analysis, is doubtful in detecting naturally-corroded aircraft panels. The thermal NDT of the aircraft aluminum sample is analyzed by numerical solution to the corresponding 3D heat conduction problem, the theoretical temperature distribution and evolution are similar to the measured values. A well known 1D corrosion characterization approach is verified on aviation aluminum plates, and is proven to be valid.",
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