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首页> 外文期刊>ACS applied materials & interfaces >Graphene-Based Materials as Strain Sensors in Glass Fiber/Epoxy Model Composites
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Graphene-Based Materials as Strain Sensors in Glass Fiber/Epoxy Model Composites

机译：基于石墨烯的材料作为玻璃纤维/环氧模型复合材料中的应变传感器

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摘要

The ability of graphene-based materials to act as strain sensors in glass fiber/epoxy model composites by using Raman spectroscopy has been investigated. The strain reporting performance of two types of graphene nanoplatelets (GNPs) was compared with that of graphene produced by chemical vapor deposition (CVD). The strain sensitivity of the thicker GNPs was impeded by their limited aspect ratio and weak interaction between flakes and fibers. The discontinuity of the GNP coating and inconsistency in properties among individual platelets led to scatter in the reported strains. In comparison, continuous and homogeneous CVD grown graphene was more accurate as a strain sensor and suitable for point-by-point strain reporting. The Raman mapping results of CVD graphene and its behavior under cyclic deformation show reversible and reliable strain sensing at low strain levels (up to 0.6% matrix strain), above which interfacial sliding of the CVD graphene layer was observed through an in situ Raman spectroscopic study.
机译：研究了基于石墨烯的材料作为使用拉曼光谱法作为玻璃纤维/环氧模型复合材料中的应变传感器的能力。将两种类型的石墨烯纳米片（GNPS）的应变报告性能与通过化学气相沉积（CVD）产生的石墨烯进行比较。通过其有限的纵横比和薄片和纤维之间的弱相互作用阻抗厚GNP的应变敏感性。 GNP涂层的不连续性和各个血小板之间的性质不一致导致报告的菌株分散。相比之下，连续和均匀的CVD成长石墨烯作为应变传感器更精确，适用于点点应变报告。 CVD石墨烯的拉曼映射结果及其在循环变形下的行为显示，在低应变水平（高达0.6％基质菌株）下可逆且可靠的应变感测，高于通过原位拉曼光谱研究观察CVD石墨烯层的界面滑动。

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