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基于石墨烯纳米片增强的多尺度复合材料的应变传感

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets.

作者信息

Moriche Rocío, Prolongo Silvia G, Sánchez María, Jiménez-Suárez Alberto, Campo Mónica, Ureña Alejandro

机构信息

Materials Science and Engineering Area, University Rey Juan Carlos;

Materials Science and Engineering Area, University Rey Juan Carlos.

出版信息

J Vis Exp. 2016 Nov 7(117):54512. doi: 10.3791/54512.

Abstract

The electrical response of NH2-functionalized graphene nanoplatelets composite materials under strain was studied. Two different manufacturing methods are proposed to create the electrical network in this work: (a) the incorporation of the nanoplatelets into the epoxy matrix and (b) the coating of the glass fabric with a sizing filled with the same nanoplatelets. Both types of multiscale composite materials, with an in-plane electrical conductivity of ~10 S/m, showed an exponential growth of the electrical resistance as the strain increases due to distancing between adjacent functionalized graphene nanoplatelets and contact loss between overlying ones. The sensitivity of the materials analyzed during this research, using the described procedures, has been shown to be higher than commercially available strain gauges. The proposed procedures for self-sensing of the structural composite material would facilitate the structural health monitoring of components in difficult to access emplacements such as offshore wind power farms. Although the sensitivity of the multiscale composite materials was considerably higher than the sensitivity of metallic foils used as strain gauges, the value reached with NH2 functionalized graphene nanoplatelets coated fabrics was nearly an order of magnitude superior. This result elucidated their potential to be used as smart fabrics to monitor human movements such as bending of fingers or knees. By using the proposed method, the smart fabric could immediately detect the bending and recover instantly. This fact permits precise monitoring of the time of bending as well as the degree of bending.

摘要

研究了氨基功能化石墨烯纳米片复合材料在应变下的电响应。本工作提出了两种不同的制造方法来创建电网络:(a)将纳米片掺入环氧树脂基体中;(b)用填充有相同纳米片的浸润剂涂覆玻璃织物。两种类型的多尺度复合材料,面内电导率约为10 S/m,随着应变增加,由于相邻功能化石墨烯纳米片之间的间距增大以及上层纳米片之间的接触损失,电阻呈指数增长。使用所述程序分析的材料的灵敏度已被证明高于市售应变片。所提出的结构复合材料自传感程序将有助于对诸如海上风力发电场等难以进入位置的部件进行结构健康监测。尽管多尺度复合材料的灵敏度比用作应变片的金属箔的灵敏度高得多,但用氨基功能化石墨烯纳米片涂覆织物所达到的值几乎高出一个数量级。这一结果阐明了它们用作智能织物以监测诸如手指或膝盖弯曲等人体运动的潜力。通过使用所提出的方法,智能织物可以立即检测到弯曲并立即恢复。这一事实允许精确监测弯曲时间以及弯曲程度。

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