Thermal Wave Imaging For Characterizing Structures In Aging Aircraft

1997 ◽  
Vol 503 ◽  
Author(s):  
Xiaoyan Han ◽  
L. D. Favro ◽  
R. L. Thomas
Keyword(s):  
Thermal Wave ◽  
Impact Damage ◽  
Structural Defects ◽  
Aging Aircraft ◽  
Wave Imaging ◽  
Thermal Wave Imaging

ABSTRACTWe present examples of the application of thermal wave imaging to the detection of structural defects in aging aircraft. Examples include the imaging of bonded and disbonded internal doublers, together with quantitative corrosion thinning measurements made from thermal wave images of aircraft fuselages and wing skins. We also show example images of impact damage, disbonds and delaminations in composite aircraft materials.

State of the art of thermal wave imaging for NDE of aging aircraft

1999 ◽  
Author(s):  
Lawrence D. Favro ◽  
Robert L. Thomas ◽  
Xiaoyan Han
Keyword(s):  
Thermal Wave ◽  
State Of The Art ◽  
Aging Aircraft ◽  
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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