Phase inversion in (vibro‐)thermal wave imaging of materials: Extracting the AC component and filtering nonlinearity

2021 ◽  
Author(s):  
Saeid Hedayatrasa ◽  
Gaétan Poelman ◽  
Joost Segers ◽  
Wim Van Paepegem ◽  
Mathias Kersemans
Keyword(s):  
Thermal Wave ◽  
Phase Inversion ◽  
Wave Imaging ◽  
Thermal Wave Imaging

THERMAL WAVE IMAGING OF CRACKS IN METALS

1983 ◽  
Vol 44 (C6) ◽  
pp. C6-519-C6-524
Author(s):  
K. R. Grice ◽  
L. J. Inglehart ◽  
L. D. Favro ◽  
P. K. Kuo ◽  
R. L. Thomas
Keyword(s):  
Thermal Wave ◽  
Wave Imaging ◽  
Thermal Wave Imaging

A low-cost laboratory thermal wave imaging system

1984 ◽  
Vol 17 (6) ◽  
pp. 526-532 ◽  
Author(s):  
G F Kirkbright ◽  
R M Miller ◽  
A Rzadkiewicz
Keyword(s):  
Thermal Wave ◽  
Imaging System ◽  
Low Cost ◽  
Wave Imaging ◽  
Thermal Wave Imaging

NON-DESTRUCTIVE EVALUATION OF CONCRETE STRUCTURES BY NON-STATIONARY THERMAL WAVE IMAGING

2012 ◽  
Vol 32 ◽  
pp. 39-48 ◽  
Author(s):  
Ravibabu Mulaveesala ◽  
Soma Sekhara Balaji Panda ◽  
Rupla Naik Mude ◽  
Muniyappa Amarnath
Keyword(s):  
Thermal Wave ◽  
Concrete Structures ◽  
Non Destructive Evaluation ◽  
Wave Imaging ◽  
Non Destructive ◽  
Thermal Wave Imaging

scholarly journals ON THE LINEAR SHIFT INVARIANCE OF THE THERMAL WAVE IMAGING

1997 ◽  
Vol 46 (7) ◽  
pp. 1338
Author(s):  
ZENG SHAO-QUN ◽  
XU HAI-FENG ◽  
LI JIAO-YANG ◽  
LIU XIAO-DE
Keyword(s):  
Thermal Wave ◽  
Wave Imaging ◽  
Shift Invariance ◽  
Thermal Wave Imaging

Material characterisation by enhanced resolution in non-stationary thermal wave imaging

2021 ◽  
Vol 63 (12) ◽  
pp. 721-726
Author(s):  
G T Vesala ◽  
V S Ghali ◽  
S Subhani ◽  
Y Naga Prasanthi
Keyword(s):  
Defect Detection ◽  
Thermal Wave ◽  
Signal To Noise Ratio ◽  
Empirical Relationship ◽  
Depth Resolution ◽  
Steel Sample ◽  
Detection Depth ◽  
Wave Imaging ◽  
Domain Phase ◽  
Thermal Wave Imaging

In the recent past, quadratic frequency-modulated thermal wave imaging (QFMTWI) has been advanced with a chirp z-transform (CZT)-based processing approach to facilitate enhanced subsurface anomaly detection, depth quantification and material property estimation with enhanced depth resolution. In the present study, the applicability of CZT-based phase analysis for foreign object defect detection in a structural steel sample using QFMTWI is validated through finite element-based numerical modelling rather than experimental verification due to limited available resources. Furthermore, the enhanced defect detection capability of the CZT phase approach is qualitatively compared with the frequency- and time-domain phase approaches using the defect signal-to-noise ratio (SNR) as a quality metric. Also, an empirical relationship between the observed phases and the thermal reflection coefficient is obtained, which recommends the CZT phase as a prominent approach for foreign material defect detection.

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