Abstract
The interest toward lightweight composites in the aeronautical industry grows year by year. The challenge is the identification and characterization of defects by using an integration of different techniques. The use of the infrared thermography (IRT) method for the inspection of lightweight composites is poorly documented in the open literature, due to the low heat diffusion through the honeycomb cores. In this study, IRT was used to retrieve the unknown positions of internal inserted objects in three different lightweight composite structures, by using three new thermal image processing integration methods. The corresponding post-processed results were compared against the traditional principal component thermography and pulsed phase thermography image processing techniques. The comparison showed that the integrated signal smoothing processing enhanced the image quality compared to the established techniques. Then, a thermal-physical analysis corresponding to the experimental results was conducted, in order to explain the experimental results. Finally, the advantages and disadvantages of the different presented methods when applied on the different lightweight composite structures were summarized.
| Language | English |
|---|---|
| Article number | 140 |
| Journal | International Journal of Thermophysics |
| Volume | 39 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 1 Dec 2018 |
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Keywords
- Composite
- Honeycomb
- Infrared
- Lightweight
- NDT
ASJC Scopus subject areas
- Condensed Matter Physics
Cite this
A Comparative Study of Enhanced Infrared Image Processing for Foreign Object Detection in Lightweight Composite Honeycomb Structures. / Zhang, Hai; Sfarra, Stefano; Genest, Marc; Ibarra-Castanedo, Clemente; Duan, Yuxia; Fernandes, Henrique; Avdelidis, Nicolas P.; Maldague, Xavier P.V.
In: International Journal of Thermophysics, Vol. 39, No. 12, 140, 01.12.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A Comparative Study of Enhanced Infrared Image Processing for Foreign Object Detection in Lightweight Composite Honeycomb Structures
AU - Zhang, Hai
AU - Sfarra, Stefano
AU - Genest, Marc
AU - Ibarra-Castanedo, Clemente
AU - Duan, Yuxia
AU - Fernandes, Henrique
AU - Avdelidis, Nicolas P.
AU - Maldague, Xavier P.V.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - The interest toward lightweight composites in the aeronautical industry grows year by year. The challenge is the identification and characterization of defects by using an integration of different techniques. The use of the infrared thermography (IRT) method for the inspection of lightweight composites is poorly documented in the open literature, due to the low heat diffusion through the honeycomb cores. In this study, IRT was used to retrieve the unknown positions of internal inserted objects in three different lightweight composite structures, by using three new thermal image processing integration methods. The corresponding post-processed results were compared against the traditional principal component thermography and pulsed phase thermography image processing techniques. The comparison showed that the integrated signal smoothing processing enhanced the image quality compared to the established techniques. Then, a thermal-physical analysis corresponding to the experimental results was conducted, in order to explain the experimental results. Finally, the advantages and disadvantages of the different presented methods when applied on the different lightweight composite structures were summarized.
AB - The interest toward lightweight composites in the aeronautical industry grows year by year. The challenge is the identification and characterization of defects by using an integration of different techniques. The use of the infrared thermography (IRT) method for the inspection of lightweight composites is poorly documented in the open literature, due to the low heat diffusion through the honeycomb cores. In this study, IRT was used to retrieve the unknown positions of internal inserted objects in three different lightweight composite structures, by using three new thermal image processing integration methods. The corresponding post-processed results were compared against the traditional principal component thermography and pulsed phase thermography image processing techniques. The comparison showed that the integrated signal smoothing processing enhanced the image quality compared to the established techniques. Then, a thermal-physical analysis corresponding to the experimental results was conducted, in order to explain the experimental results. Finally, the advantages and disadvantages of the different presented methods when applied on the different lightweight composite structures were summarized.
KW - Composite
KW - Honeycomb
KW - Infrared
KW - Lightweight
KW - NDT
UR - http://www.scopus.com/inward/record.url?scp=85055456801&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055456801&partnerID=8YFLogxK
U2 - 10.1007/s10765-018-2460-6
DO - 10.1007/s10765-018-2460-6
M3 - Article
VL - 39
JO - International Journal of Thermophysics
T2 - International Journal of Thermophysics
JF - International Journal of Thermophysics
SN - 0195-928X
IS - 12
M1 - 140
ER -