Detection of internal defects in aviation composites with differential laser infrared thermal imaging

被引：0

作者：

Wang Q. ^{[1
]}

Hu Q. ^{[1
]}

Qiu J. ^{[2
]}

Pei C. ^{[2
]}

Liu M. ^{[1
]}

Li X. ^{[1
]}

Zhou H. ^{[1
]}

机构：

[1] Equipment Management and UAV Engineering College, Air Force Engineering University, Xi'an

[2] School of Aerospace, Xi'an Jiaotong University, Xi'an

来源：

Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering | 2019年 / 48卷 / 05期

关键词：

Aviation composites; Differential laser infrared thermal images; Internal defects; Positioning detection;

D O I：

10.3788/IRLA201948.0504003

中图分类号：

学科分类号：

摘要：

The existence of internal defects of aviation composites is a serious threat to air safety. In this paper, a novel infrared thermal imaging technique with laser as a heat source was applied to detect the internal defects in the carbon fiber reinforced plastics (CFRP) used in aviation field. With the advantages of remote feature and high-power density of laser, the positioning detection for the internal delamination defects of CFRP could be realized precisely. Multiple differential detection was carried out for the defect specimen as same as the reference specimen by using laser infrared thermal imaging technology. At the same time, according to the spatial position relationship between the specimen and the thermal imager, the max temperature difference in thermographs would be selected to calculate the diameter of the internal delaminate defect. The result shows that the laser infrared thermal imaging technology can effectively detect the internal delamination defects of CFRP. Especially, the differential laser infrared thermal imaging technology used for the first time can effectively eliminate the influence of the uneven laser energy distribution and make the defect image much clearer. © 2019, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved.

引用

共 11 条

[1] Huo Y., Zhang C., Quantitative infrared prediction method for defect depth in carbon fiber reinforced plastics composite, Acta Phys Sin, 61, 14, pp. 199-205, (2012)
[2] Usamentiaga R., Venegas P., Guerediaga J., Review: infrared thermography for temperature measurement and nondestructive testing, Sensors, 14, 7, pp. 12305-12348, (2014)
[3] Wang D., Zhang W., Jin G., Et al., Application of cusp catastrophic theory in image segmentation of infrared thermal waving inspection, Infrared and Laser Engineering, 43, 3, pp. 1009-1015, (2014)
[4] Yang R., He Y., Optically and non-optically excited thermography for composites: a review, Infrared Physics & Technology, 75, pp. 26-50, (2016)
[5] Everton S., Dickens P., Tuck C., Using laser ultrasound to detect subsurface defects in metal laser powder bed fusion components, JOM, 70, 3, pp. 378-383, (2018)
[6] Zhan X., Li Y., Gao C., Effect of infrared laser surface treatment on the microstructure and properties of adhesively CFRP bonded joints, Optics and Laser Technology, 106, pp. 398-409, (2018)
[7] Liu H., Pei C., Qiu J., Inspection of delamination defect in first wall panel of tokamak device by using laser infrared thermography technique, IEEE Transactions on Plasma Science, 9, pp. 1-9, (2018)
[8] Qiu J., Pei C., Liu H., Quantitative evaluation of surface crack depth with laser spot thermography, International Journal of Fatigue, 101, pp. 80-85, (2017)
[9] Wu E., Shi Y., Li M., Et al., In-plain thermal conduction of waven carbon fiber reinforced polymers, Chinese Journal of Lasers, 43, 7, (2016)
[10] Kbouri A., Khabbazi A., Youlal H., Applied multiresolution analysis to infrared images for defects detection in materials, NDT and E International, 92, pp. 38-49, (2017)

← 1 2 →