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航空复合材料内部缺陷差动式激光红外热成像检测
引用本文:王强,胡秋平,邱金星,裴翠祥,刘铭,李欣屹,周洪斌. 航空复合材料内部缺陷差动式激光红外热成像检测[J]. 红外与激光工程, 2019, 48(5): 504003-0504003(7). DOI: 10.3788/IRLA201948.0504003
作者姓名:王强  胡秋平  邱金星  裴翠祥  刘铭  李欣屹  周洪斌
作者单位:1.空军工程大学 装备管理与无人机工程学院,陕西 西安 710051;
基金项目:国家自然科学基金(71701210)
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。

关 键 词:差动式激光红外热图像   航空复合材料   定位检测   内部缺陷
收稿时间:2018-12-11

Detection of internal defects in aviation composites with differential laser infrared thermal imaging
Affiliation:1.Equipment Management and UAV Engineering College,Air Force Engineering University,Xi'an 710051,China;2.School of Aerospace,Xi'an Jiaotong University,Xi'an 710049,China
Abstract: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.
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