航空复合材料内部缺陷差动式激光红外热成像检测
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摘要
航空复合材料内部缺陷的存在严重威胁着飞行安全。以航空碳纤维复合材料层合板为检测对象,利用激光作为红外热成像检测技术的热激励源,充分利用激光的远距离精准加热、高功率密度等优点,实现对复合材料内部分层缺陷的定位检测。利用激光红外热成像技术对缺陷试件和参考试件进行多次差动检测,并且依据试件与热像仪的空间位置关系,选择温差最大时刻计算内部分层缺陷的直径。实验结果表明:激光红外热成像技术可有效检测航空碳纤维复合材料内部分层缺陷。同时,首次使用的差动式激光红外方法可有效消除激光能量分布不均对检测结果带来的影响,使缺陷成像结果更清晰。
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.
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.
引文
[1] Huo Yan, Zhang Cunlin. Quantitative infrared prediction method for defect depth in carbon fiber reinforced plastics composite[J]. Acta Phys Sin, 2012, 61(14):199-205.(in Chinese)霍雁,张存林.碳纤维复合材料内部缺陷深度的定量红外测量[J].物理学报, 2012, 61(14):199-205.
[2] Ruben Usamentiaga, Pablo Venegas, Jon Guerediaga. Review:infrared thermography for temperature measurement and nondestructive testing[J]. Sensors, 2014, 14(7):12305-12348.
[3] Wang Dongdong, Zhang Wei, Jin Guofeng, et al. Application of cusp catastrophic theory in image segmentation of infrared thermal waving inspection[J]. Infrared and Laser Engineering, 2014, 43(3):1009-1015.(in Chinese)王冬冬,张炜,金国峰,等.尖点突变理论在红外热波检测图像分割中的应用[J].红外与激光工程, 2014, 43(3):1009-1015.
[4] Yang Ruizhen, He Yunze. Optically and non-optically excited thermography for composites:a review[J]. Infrared Physics&Technology, 2016, 75:26-50.
[5] Everton S, Dickens P, Tuck C. Using laser ultrasound to detect subsurface defects in metal laser powder bed fusion components[J]. JOM, 2018, 70(3):378-383.
[6] Zhan Xiaohong, Li Yun, Gao Chuanyun. Effect of infrared laser surface treatment on the microstructure and properties of adhesively CFRP bonded joints[J]. Optics and Laser Technology, 2018, 106:398-409.
[7] Liu Haochen, Pei Cuixiang, Qiu Jinxing. Inspection of delamination defect in first wall panel of tokamak device by using laser infrared thermography technique[J]. IEEE Transactions on Plasma Science, 2018(9):1-9.
[8] Qiu Jinxing, Pei Cuixiang, Liu Haochen. Quantitative evaluation of surface crack depth with laser spot thermography[J]. International Journal of Fatigue, 2017, 101:80-85.
[9] Wu Enqi, Shi Yufang, Li Meihua, et al. In-plain thermal conduction of waven carbon fiber reinforced polymers[J].Chinese Journal of Lasers, 2016, 43(7):0703004.(in Chinese)吴恩启,石玉芳,李美华,等.编织碳纤维复合材料平面内热传导规律研究[J].中国激光, 2016, 43(7):0703004.
[10] Ahmed Kbouri, Abdelhamid Khabbazi, Hussein Youlal.Applied multiresolution analysis to infrared images for defects detection in materials[J]. NDT and E International,2017, 92:38-49.
[11] Sam Ang Keo, Franck Brachelet, Florin Breaban. Defect detection in CFRP by infrared thermography with CO2Laser excitation compared to conventional lock-in infrared thermography[J]. Composites:Part B, 2015, 69:1-5.
[2] Ruben Usamentiaga, Pablo Venegas, Jon Guerediaga. Review:infrared thermography for temperature measurement and nondestructive testing[J]. Sensors, 2014, 14(7):12305-12348.
[3] Wang Dongdong, Zhang Wei, Jin Guofeng, et al. Application of cusp catastrophic theory in image segmentation of infrared thermal waving inspection[J]. Infrared and Laser Engineering, 2014, 43(3):1009-1015.(in Chinese)王冬冬,张炜,金国峰,等.尖点突变理论在红外热波检测图像分割中的应用[J].红外与激光工程, 2014, 43(3):1009-1015.
[4] Yang Ruizhen, He Yunze. Optically and non-optically excited thermography for composites:a review[J]. Infrared Physics&Technology, 2016, 75:26-50.
[5] Everton S, Dickens P, Tuck C. Using laser ultrasound to detect subsurface defects in metal laser powder bed fusion components[J]. JOM, 2018, 70(3):378-383.
[6] Zhan Xiaohong, Li Yun, Gao Chuanyun. Effect of infrared laser surface treatment on the microstructure and properties of adhesively CFRP bonded joints[J]. Optics and Laser Technology, 2018, 106:398-409.
[7] Liu Haochen, Pei Cuixiang, Qiu Jinxing. Inspection of delamination defect in first wall panel of tokamak device by using laser infrared thermography technique[J]. IEEE Transactions on Plasma Science, 2018(9):1-9.
[8] Qiu Jinxing, Pei Cuixiang, Liu Haochen. Quantitative evaluation of surface crack depth with laser spot thermography[J]. International Journal of Fatigue, 2017, 101:80-85.
[9] Wu Enqi, Shi Yufang, Li Meihua, et al. In-plain thermal conduction of waven carbon fiber reinforced polymers[J].Chinese Journal of Lasers, 2016, 43(7):0703004.(in Chinese)吴恩启,石玉芳,李美华,等.编织碳纤维复合材料平面内热传导规律研究[J].中国激光, 2016, 43(7):0703004.
[10] Ahmed Kbouri, Abdelhamid Khabbazi, Hussein Youlal.Applied multiresolution analysis to infrared images for defects detection in materials[J]. NDT and E International,2017, 92:38-49.
[11] Sam Ang Keo, Franck Brachelet, Florin Breaban. Defect detection in CFRP by infrared thermography with CO2Laser excitation compared to conventional lock-in infrared thermography[J]. Composites:Part B, 2015, 69:1-5.