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 language | English |
|---|---|
| Pages (from-to) | 208-214 |
| Number of pages | 7 |
| Journal | Jixie Gongcheng Xuebao/Journal of Mechanical Engineering |
| Volume | 45 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2009 |
Fingerprint
Keywords
- Aluminum
- Corrosion
- Evaluation
- Infrared thermography
- Thermal nondestructive testing
ASJC Scopus subject areas
- Computer Science Applications
- Mechanical Engineering
- Applied Mathematics
Cite this
Thermal nondestructive testing of corrosion in aviation aluminum panels and data processing algorithms. / Guo, Xingwang; Vavilov, V.; Shiryaev, V.
In: Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, Vol. 45, No. 3, 03.2009, p. 208-214.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Thermal nondestructive testing of corrosion in aviation aluminum panels and data processing algorithms
AU - Guo, Xingwang
AU - Vavilov, V.
AU - Shiryaev, V.
PY - 2009/3
Y1 - 2009/3
N2 - 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.
AB - 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.
KW - Aluminum
KW - Corrosion
KW - Evaluation
KW - Infrared thermography
KW - Thermal nondestructive testing
UR - http://www.scopus.com/inward/record.url?scp=64249111460&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=64249111460&partnerID=8YFLogxK
U2 - 10.3901/JME.2009.03.208
DO - 10.3901/JME.2009.03.208
M3 - Article
VL - 45
SP - 208
EP - 214
JO - Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering
JF - Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering
SN - 0577-6686
IS - 3
ER -