TY - GEN
T1 - Automated detection of CFRP defects by infrared thermography and image analysis
AU - Yuan-Fang Chen, Terry
AU - Lin, Guan Yu
N1 - Funding Information:
This work is supported by National Science Council, Republic of China under the contract no. MOST103-2221-E-006 -053
Publisher Copyright:
© The Society for Experimental Mechanics, Inc. 2016.
PY - 2016
Y1 - 2016
N2 - Carbon fiber reinforced polymers (CFRP) have experienced widespread use in the aerospace industry. However, the very different internal structure and properties of woven composites presents a challenge to defect detection in such structures. An automated scheme for determination of the location and size of defects using image processing techniques is reported. The scheme includes local thresholding to binarize the image and reduce non-uniform thermal energy effect, morphology procedures to reduce larger noises and separate the defect from the specimen. Test of the scheme on various specimens having artificial defects embedded in different depth is shown. The contrast is lower as the defect is embedded deeper. Nevertheless, the defects can be detected accurately from the IRT images while comparing to the observed ones.
AB - Carbon fiber reinforced polymers (CFRP) have experienced widespread use in the aerospace industry. However, the very different internal structure and properties of woven composites presents a challenge to defect detection in such structures. An automated scheme for determination of the location and size of defects using image processing techniques is reported. The scheme includes local thresholding to binarize the image and reduce non-uniform thermal energy effect, morphology procedures to reduce larger noises and separate the defect from the specimen. Test of the scheme on various specimens having artificial defects embedded in different depth is shown. The contrast is lower as the defect is embedded deeper. Nevertheless, the defects can be detected accurately from the IRT images while comparing to the observed ones.
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U2 - 10.1007/978-3-319-21765-9_30
DO - 10.1007/978-3-319-21765-9_30
M3 - Conference contribution
AN - SCOPUS:84952815493
SN - 9783319217642
T3 - Conference Proceedings of the Society for Experimental Mechanics Series
SP - 243
EP - 248
BT - Residual Stress, Thermomechanics and Infrared Imaging, Hybrid Techniques and Inverse Problems - Proceedings of the 2015 Annual Conference on Experimental and Applied Mechanics
A2 - Schajer, Gary
A2 - Bossuyt, Sven
A2 - Carpinteri, Alberto
PB - Springer New York LLC
T2 - SEM Annual Conference and Exposition on Experimental and Applied Mechanics, 2015
Y2 - 8 June 2015 through 11 June 2015
ER -