This study experimentally estimates the extreme possibilities of the heating technique in detection of corrosion in 2-mm-thick aluminum panels using the Thermovision A20M IR thermal vision equipment and two pulse heaters. When a reference block formed as a blackened aluminum plate containing artificial flaws with different holes of various diameters and depths was tested, the maximum signal-to-noise ratio was achieved after phase processing of the recorded sequence of thermograms. The detection threshold was ~10% of the material loss at a diameter of the corrosion zone >10 mm. Testing of a naturally corroded aviation aluminum panel has shown that the optimal result, i.e., the maximum SNR, is obtained from the simple processing (averaging) of the initial thermograms. In this case, SNR ~ 12 in the corrosion zones with a material loss of 40-80%. The phase processing of the data provided visually attractive images of corrosion, but the SNR was lower (~8). Statistical processing and other algorithms of image processing, such as principal component analysis, polynomial approximation, and correlation analysis, were applied. The expedience of using these rather laborious algorithms for corrosion analysis is still uncertain. Use of the previously applied inversion relationships for the quantitative estimation of the material loss has demonstrated its acceptable accuracy for corrosion testing in aviation aluminum panels.
Thermal control of corrosion in aluminum panels of airplanes
Thermische Kontrolle der Korrosion in Flugzeugpanelen aus Aluminium
Russian Journal of Nondestructive Testing ; 44 , 4 ; 266-273
2008
8 Seiten, 7 Bilder, 1 Tabelle, 15 Quellen
Aufsatz (Zeitschrift)
Englisch
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