National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Institute of Microelectronics, Peking University , Beijing 100871, China.
National Center for Nanoscience and Technology , Zhongguancun, Beijing 100190, China.
ACS Nano. 2015 Nov 24;9(11):10867-75. doi: 10.1021/acsnano.5b03851. Epub 2015 Oct 16.
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.
纳米材料因其独特的机电性能,通过适当的组装和调整其结构,可以作为应变传感的有前途的候选材料。通过交错排列的石墨烯微带上下交错的方式,所得到的石墨烯编织织物(GWF)与之前的研究相比,在灵敏度和拉伸性之间表现出了很好的折衷。在这项工作中,研究了编织织物在高灵敏度应变传感中的作用,尽管网络结构始终是保持电阻稳定性的策略。实验和模拟结果表明,超灵敏应变传感器在 2%应变下的应变系数高达 500,这归因于石墨烯的宏观编织织物几何构象,它在交错的带子之间产生了较大的界面电阻,并在交叉点附近形成了微尺度可控的局部取向锯齿形裂缝,这两者都对提高灵敏度有协同作用。同时,通过调整石墨烯生长参数并同时采用斜角拉伸方向,可以将 GWF 的拉伸性调整到高达 40%以上的应变。我们还证明,基于 GWF 的传感器适用于人体运动检测、声音信号采集以及外部应力分布的空间分辨监测。