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A guided-wave system for monitoring the wing skin-to-spar bond in unmanned aerial vehicles

机译:一种用于监控无人机机翼蒙皮与翼梁结合的导波系统

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摘要

Unmanned Aerial Vehicles (UAVs) are being increasingly used in military as well as civil applications. A critical part of the structure is the adhesive bond between the wing skin and the supporting spar. If not detected early, bond defects originating during manufacturing or in service flight can lead to inefficient flight performance and eventual global failure. This paper will present results from a bond inspection system based on attached piezoelectric disks probing the skin-to-spar bondline with ultrasonic guided waves in the hundreds of kilohertz range. The test components were CFRP composite panels of two different fiber layups bonded to a CFRP composite tube using epoxy adhesive. Three types of bond conditions were simulated, namely regions of poor cohesive strength, regions with localized disbonds and well bonded regions. The root mean square and variance of the received time-domain signals and their discrete wavelet decompositions were computed for the dominant modes propagating through the various bond regions in two different inspection configurations. Semi-analytical finite element analysis of the bonded multilayer joint was also carried out to identify and predict the sensitivity of the predominant carrier modes to the different bond defects. Emphasis of this research is based upon designing a built-in system for monitoring the structural integrity of bonded joints in UAVs and other aerospace structures.
机译:无人飞行器(UAV)越来越多地用于军事和民用领域。该结构的关键部分是机翼蒙皮与支撑翼梁之间的粘合。如果不能及早发现,则在制造或服务飞行过程中产生的粘结缺陷会导致飞行性能低下并最终导致整体故障。本文将介绍基于粘合压电盘的粘合检查系统的结果,该压电盘利用数百赫兹范围内的超声波引导探测皮肤至晶石的粘合线。测试组件是使用环氧树脂粘合剂将两种不同纤维叠层的CFRP复合板粘合到CFRP复合管上。模拟了三种类型的粘结条件,即粘结强度较弱的区域,局部粘结的区域和粘结良好的区域。对于在两种不同检查配置中传播通过各个键区的主导模式,计算了接收到的时域信号的均方根和方差及其离散小波分解。还对键合的多层接头进行了半分析有限元分析,以识别和预测主要载流子模式对不同键合缺陷的敏感性。这项研究的重点是基于设计一个内置系统来监视无人机和其他航空航天结构中的粘结接头的结构完整性。

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