TY - JOUR
T1 - Thermal stresses applied on helicopter blades useful to retrieve defects by means of infrared thermography and speckle patterns
AU - López, F.
AU - Sfarra, S.
AU - Chulkov, A.
AU - Ibarra-Castanedo, C.
AU - Zhang, H.
AU - Omar, M. A.
AU - Vavilov, V.
AU - Maldague, X. P.V.
N1 - Funding Information:
This study was supported by the Russian Scientific Foundation grant # 19-79-00049 (processing algorithms test methodology), Russian Foundation for Basic Research grant # 19-29-13004 (experimentation).
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/8/1
Y1 - 2020/8/1
N2 - This work presents a non-destructive analysis based on infrared thermography (IRT) and speckle inspection methods performed on a helicopter blade. In both cases, thermal stresses are needed in order to provoke the visualization of defects. The sample possess fabricated defects, and three techniques were selected, namely, long-pulse thermography, flash thermography, and digital speckle photography (DSP) to retrieve their positions. The first two techniques belong to the group of infrared imaging, that are inherent to the analysis of the infrared thermal patterns to detect internal anomalies in the material, whilst the last one corresponds to the optical imaging group that requires visible light to measure the material response under a thermal stimulus. The active approach, useful to produce a gradient in either, thermal and/or displacement field of the material, was used. In all cases, heat lamps were used to generate the required thermal stresses. Post-processing algorithms were applied to raw data in order to improve the defect detection. Results are finally compared to evaluate pros and cons of each method.
AB - This work presents a non-destructive analysis based on infrared thermography (IRT) and speckle inspection methods performed on a helicopter blade. In both cases, thermal stresses are needed in order to provoke the visualization of defects. The sample possess fabricated defects, and three techniques were selected, namely, long-pulse thermography, flash thermography, and digital speckle photography (DSP) to retrieve their positions. The first two techniques belong to the group of infrared imaging, that are inherent to the analysis of the infrared thermal patterns to detect internal anomalies in the material, whilst the last one corresponds to the optical imaging group that requires visible light to measure the material response under a thermal stimulus. The active approach, useful to produce a gradient in either, thermal and/or displacement field of the material, was used. In all cases, heat lamps were used to generate the required thermal stresses. Post-processing algorithms were applied to raw data in order to improve the defect detection. Results are finally compared to evaluate pros and cons of each method.
KW - Defect detection
KW - Digital speckle photography
KW - Flash and long-pulse heating
KW - Helicopter blade
KW - Infrared thermography
KW - Speckle
KW - Thermal stimulus
UR - http://www.scopus.com/inward/record.url?scp=85080990871&partnerID=8YFLogxK
U2 - 10.1016/j.tsep.2020.100511
DO - 10.1016/j.tsep.2020.100511
M3 - Article
AN - SCOPUS:85080990871
SN - 2451-9049
VL - 18
JO - Thermal Science and Engineering Progress
JF - Thermal Science and Engineering Progress
M1 - 100511
ER -