3D Printing of Flexible Strain Sensor Array Based on UV‐Curable Multiwalled Carbon Nanotube/Elastomer Composite,Advanced Materials Technologies

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3D Printing of Flexible Strain Sensor Array Based on UV‐Curable Multiwalled Carbon Nanotube/Elastomer Composite
Advanced Materials Technologies ( IF 6.4 ) Pub Date : 2020-11-20 , DOI: 10.1002/admt.202000745
Ting Xiao ₁ , Cheng Qian ₁ , Ruixue Yin ₁ , Kemin Wang ₂ , Yang Gao ₁ , Fuzhen Xuan ₁

Affiliation

Internet of things (IoT) is expected to significantly improve every aspect of society, especially in soft robotics, structural health monitoring, and human motion detection. Flexible strain sensors with high‐performance characteristics as well as highly efficient and cost‐effective maskless fabrication methods are the key components of IoT for these applications. Herein, a 3D printing technology using digital light processing is developed to fabricate high‐performance flexible strain sensors based on UV‐curable multiwalled carbon nanotubes/elastomer (MWCNT/EA) composite. The MWCNT/EA‐based device with 2 wt% MWCNTs delivers a sensitivity of 8.939 with a linearity up to 45% strain. Additionally, the sensor has a detectable strain range from 0.01% to 60%, a high mechanical durability (10 000 cycles), and linear responses to humidity and temperature. Numerical simulation and impedance study indicate that the sensor works on the deformation‐induced reduction of MWCNT conductive pathway. The developed device can be used to detect various external deformation, when combined with a near‐field communication circuit. Moreover, a 4 × 4 strain sensor array is developed for sensing external stimuli distribution, further demonstrating the high performance of the 3D printed device.

中文翻译：

基于紫外线固化的多壁碳纳米管/弹性体复合材料的柔性应变传感器阵列的3D打印

物联网（IoT）有望显着改善社会的方方面面，尤其是在软机器人，结构健康监测和人体运动检测方面。具有高性能特性的柔性应变传感器以及高效，低成本的无掩模制造方法是这些应用的物联网的关键组成部分。本文中，开发了一种使用数字光处理的3D打印技术，以制造基于紫外线可固化的多壁碳纳米管/弹性体（MWCNT / EA）复合材料的高性能柔性应变传感器。基于MWCNT / EA的设备具有2 wt％的MWCNT，其灵敏度高达8.939，线性度高达45％。此外，该传感器具有0.01％至60％的可检测应变范围，较高的机械耐久性（10000个循环）以及对湿度和温度的线性响应。数值模拟和阻抗研究表明，该传感器可用于MWCNT导电路径的变形诱导还原。与近场通信电路结合使用时，开发的设备可用于检测各种外部变形。此外，还开发了一种4×4应变传感器阵列来检测外部刺激分布，从而进一步证明了3D打印设备的高性能。

更新日期：2021-01-05

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