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In-Line Nanostructuring of Glass Fibres Using Different Carbon Allotropes for Structural Health Monitoring Application

机译:使用不同碳同素异形体的玻璃纤维在线纳米结构在结构健康监测中的应用

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By the in-line nanostructuring of glass fibres (GF) during the glass fibre melt spinning process, the authors achieve an electro-mechanical-response-sensor. The glass fibre interphase was functionalized with different highly electrically conductive carbon allotropes such as carbon nanotubes, graphene nanoplatelets, or conductive carbon black. On-line structural health monitoring is demonstrated in continuous glass fibre-reinforced polypropylene composites during a static or dynamic three-point bending test. The different carbon fillers exhibit qualitative differences in their signal quality and sensitivity due to the differences in the aspect ratio of the nanoparticles, the film homogeneity, and the associated electrically conductive network density in the interphase. The occurrence of irreversible signal changes during dynamic loading may be attributed to filler reorientation processes caused by polymer creeping or to the destruction of the electrically conductive paths due to the presence of cracks in the glass fibre interphase. Further, the authors found that sensor embedding hardly influences the tensile properties of continuous GF reinforced polypropylene (PP) composite.
机译:通过在玻璃纤维熔融纺丝过程中对玻璃纤维(GF)进行在线纳米结构化,作者实现了一种机电响应传感器。用不同的高导电碳同素异形体(例如碳纳米管,石墨烯纳米片或导电炭黑)对玻璃纤维相进行了功能化。在线结构健康监测在静态或动态三点弯曲测试期间在连续的玻璃纤维增​​强聚丙烯复合材料中得到证明。由于纳米颗粒的长径比,膜均质性以及相间相关的导电网络密度的差异,不同的碳填料在信号质量和灵敏度方面表现出质的差异。动态加载过程中不可逆信号变化的发生可能归因于聚合物蠕变引起的填料重新定向过程,或者归因于玻璃纤维中间相中裂纹的存在而导致的导电路径破坏。此外,作者发现传感器的嵌入几乎不会影响连续GF增强聚丙烯(PP)复合材料的拉伸性能。

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