Abstract
Infrared thermographic nondestructive testing(NDT) was increasingly used in the inspection of composite materials due to large surface, rapid and noncontact testing capability. The modeling and thermal image processing of the NDT for carbon fiber reinforced plastic (CFRP) were researched. A mathematical model was proposed for the CFRP reference samples with Teflon inserts, and the simulation was carried out. The causes of the phenomenon that the temperature on defects appears lower than that on the background were analyzed. Many advanced data processing methods in the inspection of CFRP samples were used to deal with the infrared image sequences. Several processing algorithms were statistically evaluated to demonstrate that the Fourier transform and the correlation technique can provide the highest values of signal-to-noise ratio.
| Original language | English |
|---|---|
| Pages (from-to) | 363-369 |
| Number of pages | 7 |
| Journal | Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics |
| Volume | 30 |
| Issue number | 4 |
| Publication status | Published - Apr 2004 |
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Keywords
- Composite materials
- Image processing
- Infrared thermographic testing
- Mathematical model
ASJC Scopus subject areas
- Aerospace Engineering
Cite this
Modeling and image processing in infrared thermographic NDT of composite materials. / Guo, Xingwang; Vavilov, V.; Guo, Guangping; Shao, Wei; Liu, Yingtao.
In: Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, Vol. 30, No. 4, 04.2004, p. 363-369.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Modeling and image processing in infrared thermographic NDT of composite materials
AU - Guo, Xingwang
AU - Vavilov, V.
AU - Guo, Guangping
AU - Shao, Wei
AU - Liu, Yingtao
PY - 2004/4
Y1 - 2004/4
N2 - Infrared thermographic nondestructive testing(NDT) was increasingly used in the inspection of composite materials due to large surface, rapid and noncontact testing capability. The modeling and thermal image processing of the NDT for carbon fiber reinforced plastic (CFRP) were researched. A mathematical model was proposed for the CFRP reference samples with Teflon inserts, and the simulation was carried out. The causes of the phenomenon that the temperature on defects appears lower than that on the background were analyzed. Many advanced data processing methods in the inspection of CFRP samples were used to deal with the infrared image sequences. Several processing algorithms were statistically evaluated to demonstrate that the Fourier transform and the correlation technique can provide the highest values of signal-to-noise ratio.
AB - Infrared thermographic nondestructive testing(NDT) was increasingly used in the inspection of composite materials due to large surface, rapid and noncontact testing capability. The modeling and thermal image processing of the NDT for carbon fiber reinforced plastic (CFRP) were researched. A mathematical model was proposed for the CFRP reference samples with Teflon inserts, and the simulation was carried out. The causes of the phenomenon that the temperature on defects appears lower than that on the background were analyzed. Many advanced data processing methods in the inspection of CFRP samples were used to deal with the infrared image sequences. Several processing algorithms were statistically evaluated to demonstrate that the Fourier transform and the correlation technique can provide the highest values of signal-to-noise ratio.
KW - Composite materials
KW - Image processing
KW - Infrared thermographic testing
KW - Mathematical model
UR - http://www.scopus.com/inward/record.url?scp=4043055778&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=4043055778&partnerID=8YFLogxK
M3 - Article
VL - 30
SP - 363
EP - 369
JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
SN - 1001-5965
IS - 4
ER -