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首页> 外文会议>International workshop on structural health monitoring >Damage Detection Via Electrical Impedance Tomography in a Filament Wound Glass Fiber/Epoxy Composite Tube with Carbon Black Filler
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Damage Detection Via Electrical Impedance Tomography in a Filament Wound Glass Fiber/Epoxy Composite Tube with Carbon Black Filler

机译：带有碳黑填料的长丝缠绕玻璃纤维/环氧树脂复合管中的电阻抗层析成像技术进行损伤检测

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Fiber reinforced polymer composites are increasingly being used in the automotive, aerospace, and many other sectors owing to their superior specific stiffness and strength. Filament winding provides means to manufacture cylindrical fibrous composites finding applications in building stronger pressure vessels and corrosion-resistant piping systems. With the expanding use of composites to build vital structural components, there arises the need to monitor the health of these structures. The primary challenge in health monitoring of composites involves the detection of non-visible and sub-surface damage. Current methods to address this issue in filament wound composites include embedding optical fiber or piezoelectric sensors during the manufacturing process. Apart from introducing weak spots in the structure, embedding these sensors make the manufacturing process difficult and time consuming. Nanofiller modified matrix composites impart conductive properties to the composite which can be leveraged for health monitoring with minimal changes to the manufacturing process. The self-sensing capability of these composites can be combined with conductivity imaging modalities such as electrical impedance tomography (EIT) for damage identification and localization. EIT is a low-cost, real-time imaging technique in which the electrical conductivity of the body is inferred from boundary voltage measurements. To date, however, EIT has been primarily used on planar geometries such as rectangular composite coupons. Therefore, this work demonstrates the potential of EIT for damage detection in non-planar, multiply connected domains - a carbon black (CB)-modified glass fiber/epoxy filament wound composite tube. The results show that multiple through holes as small as 7.94 mm can be detected for tubes with a diameter-to-length ratio of 1:2. It was also observed that the sensitivity of this method improved as the aspect ratio of the tube decreased. These preliminary findings strongly indicate the potential of using EIT for damage detection in more complex geometries such as self-sensing filament wound composite tubes.
机译：纤维增强聚合物复合材料由于其优异的比刚度和强度而越来越多地用于汽车，航空航天和许多其他领域。细丝缠绕为制造圆柱形纤维复合材料提供了方法，可用于构建更坚固的压力容器和耐腐蚀的管道系统。随着越来越多地使用复合材料来构建重要的结构部件，出现了对这些结构的健康状况进行监控的需求。复合材料健康监测的主要挑战包括检测不可见和亚表面损伤。解决长丝缠绕复合材料中此问题的当前方法包括在制造过程中嵌入光纤或压电传感器。除了在结构中引入弱点外，将这些传感器嵌入还会使制造过程变得困难且耗时。纳米填料改性的基体复合材料赋予复合材料导电性能，可在制造过程中进行最小限度的变化就可用于健康监测。这些复合材料的自感应能力可以与电导率成像模式（例如电阻抗断层扫描（EIT））结合使用，以进行损伤识别和定位。 EIT是一种低成本的实时成像技术，其中可以从边界电压测量值推断出人体的电导率。然而，迄今为止，EIT主要用于平面几何形状，例如矩形复合材料试样。因此，这项工作证明了EIT在非平面，多连接域-炭黑（CB）改性的玻璃纤维/环氧树脂长丝缠绕复合管中进行损伤检测的潜力。结果表明，对于直径与长度之比为1：2的管子，可以检测到多个小至7.94 mm的通孔。还观察到，该方法的灵敏度随着管的纵横比的减小而提高。这些初步发现强烈表明使用EIT在更复杂的几何结构（如自感应细丝缠绕复合管）中进行损伤检测的潜力。

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