Journal
INFRARED PHYSICS & TECHNOLOGY
Volume 61, Issue -, Pages 149-156Publisher
ELSEVIER
DOI: 10.1016/j.infrared.2013.08.003
Keywords
Vibrothermography; Ultrasonic infrared thermography; Crack; Image processing; Wavelet analysis
Categories
Funding
- National Natural Science Foundation of China [50975016]
- Aeronautical Science Foundation of China [2009ZD51045]
- Russian Fund for Fundamental Research [13-08-00190]
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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 20, i.e. applied to spatial coordinates, or a single image. (C) 2013 Elsevier B.V. All rights reserved.
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