超声红外热波成像在 CFRP板螺栓孔损伤检测的研究

吴昊; 刘志平; 杜勇; 张言; 庹特

红外技术, 2019, 41 (8): 786, 网络出版: 2019-10-12

超声红外热波成像在 CFRP板螺栓孔损伤检测的研究

Study on Damage Detection of Bolt Holes in CFRP Plate by Ultrasonic Infrared Thermal Wave Imaging

论文大纲

吴昊 ^*刘志平杜勇张言庹特

作者单位

武汉理工大学物流工程学院, 湖北武汉 430063

超声红外螺栓孔损伤有限元分析 ultrasonic infrared, CFRP, bolt hole damage, finit CFRP

摘要

螺栓连接由于可靠性高、承载能力强等优势广泛应用于复合材料连接, 但螺栓孔处的应力集中作用使其易产生损伤破坏, 且工程应用中很多复合材料螺栓连接件无法卸载, 传统检测方法较难对螺栓孔损伤进行识别。本文使用超声红外热波检测的方法对复合材料螺栓连接件进行损伤识别, 通过仿真研究复合材料螺栓孔裂纹和分层损伤的生热特征, 分析了螺栓以及螺栓预紧力对螺栓孔损伤生热特征的影响, 并设计实验对仿真结论进行了较好的验证。研究显示当螺栓孔损伤区域超出螺帽覆盖的范围, 超声红外热波检测法能快速有效检测螺栓紧固件损伤, 结合图像识别方法可以有效提取损伤信息, 而且该方法对不同大小的螺栓预紧力以及螺栓与被连接件之间的摩擦生热影响有着良好的适应性。

Abstract

Bolted joints are widely used in composite materials owing to their high reliability and strong bearing capacity. However, the stress concentration at the bolt holes makes them susceptible to damages. In addition, several composite bolt joints cannot be unloaded during engineering operations. The identification of bolt hole damage using traditional detection methods is a challenge. In this paper, an ultrasonic infrared heat wave detection method is utilized to identify the damage in composite bolted joints, utilizing the technique of image identification. Based on a simulation study, the influence of bolt and bolt pre-tightening force on the thermal characteristics of the bolt hole damage is analyzed, and the simulation results are verified using a design test. It is found that when the bolt hole damage exceeds the range covered by the nut, the ultrasonic infrared heat wave detection method can be used to detect the damage of the bolt fastener, more speedily and effectively. Moreover, the proposed method shows good adaptability to different bolt pre-tightening forces and the influence of frictional heat generation between the bolt and the connected member.

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吴昊, 刘志平, 杜勇, 张言, 庹特. 超声红外热波成像在 CFRP板螺栓孔损伤检测的研究[J]. 红外技术, 2019, 41(8): 786. WU Hao, LIU Zhiping, DU Yong, ZHANG Yan, TUO Te. Study on Damage Detection of Bolt Holes in CFRP Plate by Ultrasonic Infrared Thermal Wave Imaging[J]. Infrared Technology, 2019, 41(8): 786.

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