Journal
NDT & E INTERNATIONAL
Volume 62, Issue -, Pages 130-136Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ndteint.2013.12.006
Keywords
Carbon fiber reinforced polymer; Linear frequency modulation; Thermal-wave radar imaging; Hilbert transform; Cross-correlation
Funding
- Chinese National Natural Science Foundation [51173034]
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A combined theoretical and experimental approach is reported using thermal-wave radar imaging (TRWI) for carbon fiber reinforced polymer (CFRP) with subsurface defects inspection. The multi-transform technique (Fourier transform, FT; Hilbert transform, HT; and cross-correlation, CC) is applied to extract the characteristics of thermal-wave signal. Experimental results indicate that the multi-transform technique of thermal-wave signal is available for detecting the subsurface defect. For the shallow defect (defect depth <= 1 mm), the delay time image of CC exhibits high contrast, and the phase image of FT has high SNR at the right frequency component. For the deep defect (defect depth 2.0 mm), the phase images of HT have both high contrast and large SNR value. (C) 2014 Elsevier Ltd. All rights reserved.
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