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首页> 外文期刊>ACS nano >Tactile Sensing System Based on Arrays of Graphene Woven Microfabrics: Electromechanical Behavior and Electronic Skin Application
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Tactile Sensing System Based on Arrays of Graphene Woven Microfabrics: Electromechanical Behavior and Electronic Skin Application

机译:基于石墨烯编织微阵列的触觉传感系统:机电行为和电子皮肤应用

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摘要

Nanomaterials serve as promising candidates for strain sensing due to unique electromechanical properties by appropriately assembling and tailoring their configurations. Through the crisscross interlacing of graphene microribbons in an over-and-under fashion, the obtained graphene woven fabric (GWF) indicates a good trade-off between sensitivity and stretchability compared with those in previous studies. In this work, the function of woven fabrics for highly sensitive strain sensing is investigated, although network configuration is always a strategy to retain resistance stability. The experimental and simulation results indicate that the ultrahigh mechanosensitivity with gauge factors of 500 under 2% strain is attributed to the macro-woven-fabric geometrical conformation of graphene, which induces a large interfacial resistance between the interlaced ribbons and the formation of microscale-controllable, locally oriented zigzag cracks near the crossover location, both of which have a synergistic effect on improving sensitivity. Meanwhile, the stretchability of the GWF could be tailored to as high as over 40% strain by adjusting graphene growth parameters and adopting oblique angle direction stretching simultaneously. We also demonstrate that sensors based on GWFs are applicable to human motion detection, sound signal acquisition, and spatially resolved monitoring of external stress distribution.
机译:纳米材料由于具有独特的机电性能,因此可以通过适当地组装和定制其配置来成为有希望的应变传感候选材料。通过石墨烯微带的交错交织,所获得的石墨烯机织织物(GWF)与以前的研究相比,在灵敏度和可拉伸性之间取得了良好的折衷。在这项工作中,尽管网络配置始终是保持电阻稳定性的一种策略,但仍研究了机织织物对高灵敏应变感测的功能。实验和仿真结果表明,在2%应变下,应变系数为500的超高机械敏感性归因于石墨烯的宏观编织结构几何构象,从而引起了交错带之间的大界面阻力和可微尺度控制的形成。在交叉位置附近出现局部弯曲的锯齿形裂纹,这两个裂纹对提高灵敏度都有协同作用。同时,通过调节石墨烯的生长参数并同时采用斜角方向拉伸,可以将GWF的拉伸性调整为高达40%以上的应变。我们还证明了基于GWF的传感器适用于人体运动检测,声音信号获取以及外部应力分布的空间分辨监测。

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