Highly sensitive and large range strain sensor based on synergetic effects with double conductive layer structures
Highly sensitive and large range strain sensor based on synergetic effects with double conductive layer structures
复制标题
基于双导电层结构协同效应的高灵敏度大范围应变传感器
DOI：
10.1016/j.sna.2020.112515
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发表时间：
2021-02-01
影响因子：
4.6
通讯作者：
Su, Shi
中科院分区：
文献类型：
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作者：
Nie, Meng;Ren, Xiangyu;Su, Shi
对可穿戴电子设备的需求不断增长，促进了高弹性应变传感器的发展，该传感器可以监测各种物理参数和实现下一代电子产品的必要因素。然而，鉴于其广泛的应用，包括电子皮肤、智能纺织品以及医疗监测，在机械刺激下同时实现在宽拉伸感测范围内具有足够灵敏度的可穿戴应变传感器仍然具有挑战性。在此，我们提出了一种简单的，具有成本效益的应变传感器的基础上的协同导电网络构成的双层微结构与多壁碳纳米管和弹性体。多壁碳纳米管的微刺结构和峰谷微结构具有扩展的拉伸传感范围和高灵敏度。双层应变传感器在两个线性拉伸应变范围（0- 50%和50- 200%）内具有高应变系数（GF = 12.3和29.4），具有长期可重复使用性、低滞后性和动态负载下的快速响应。该传感器在实时人体运动检测和区分细微信号（如发声、肌肉运动以及手指或手腕）方面表现出出色的机械性能。(C)2020爱思唯尔B. V.保留所有权利。
The increasing demand for wearable electronic devices is promoting the development of highly elastic strain sensors, which can monitor various physical parameters and essential factors for realizing next generation electronics. However, it is still challenging to simultaneously achieve wearable strain sensors with sufficient sensitivity within wide stretching sensing ranges under mechanical stimuli in view of their widespread applications, including electronic skin, smart textiles, as well as healthcare monitoring. Herein, we propose a simple, cost-effective strain sensor based on synergetic conductive networks constituted by double-layer microstructures with multi-walled carbon nanotubes and elastomer. The micro-spinous structures of MWCNTs and the peak-valley microstructures have extended stretching sensing ranges with high sensitivities. The double-layer strain sensor exhibits high gauge factors (GF = 12.3 and 29.4) in the two linear stretching strain ranges (0-50 % and 50-200 %) with a long-term reusability, low-hysteresis, and fast response under dynamic loading. This sensor demonstrates excellent mechanical performance in real-time human motion detecting and distinguishing subtle signals, such as vocalization, muscle motions, as well as fingers or wrists. (C) 2020 Elsevier B.V. All rights reserved.