Bioinspired Low Hysteresis Flexible Pressure Sensor Using Nanocomposites of Multiwalled Carbon Nanotubes, Silicone Rubber, and Carbon Nanofiber for Human–Computer Interaction

硅橡胶 材料科学 碳纳米管 纳米复合材料 碳纳米纤维 磁滞 纳米纤维 复合材料 硅酮 天然橡胶 纳米技术 化学工程 工程类 物理 量子力学
作者
Xiaohui Guo,Tiancheng Liu,Yongming Tang,Wei Li,Long Liu,Di Wang,Yifan Zhang,Tianxu Zhang,Xiaowen Zhu,Yuxin Guan,Xianghui Li,Yinuo Chen,Xinyu Wu,Xiao Guang-yu,Xinchen Wang,Renkai Zhang,Dandan Wang,Zhihong Mai,Weiqiang Hong,Qi Hong,Yunong Zhao,Yongjun Zhang,Ming Wang,Feng Yan,Guozhong Xing
出处
期刊:ACS applied nano materials [American Chemical Society]
卷期号:7 (13): 15626-15639
标识
DOI:10.1021/acsanm.4c02631
摘要

The development and utilization of flexible piezoresistive sensors based on bionic nanomaterials have garnered considerable attention due to their broad potential in various domains. However, the key to their enhanced performance lies in incorporating microstructures and conductive coatings, which maximize initial resistance and minimize resistance upon pressure application, thereby amplifying the change in resistance signal. In this study, we draw inspiration from the microconvex structure observed on the skin of crocodiles and propose a bionic-structured flexible pressure sensor. The sensor is fabricated using nanocomposites comprising multiwalled carbon nanotubes, silicone rubber, and carbon nanofiber in conjunction with a three-dimensional (3D)-printed bionic structural mold. Sensor structure is similar to a sandwich structure with three layers: a flexible substrate layer, a sensing layer, and an interdigital electrode layer. Our sensor exhibits improved pressure-sensing capabilities, characterized by rapid response and recovery times (25 ms), a wide pressure detection range (0–80 kPa), minimal hysteresis (2.44%), high sensitivity (0.4311 kPa–1 within the 0–10 kPa range), and fine stability (withstanding 6000 cycles under varying pressures). Notably, this sensor has an efficient sensing ability, long-term stability, and good waterproofing properties, expanding its potential applications in human–computer interaction, motion monitoring, intelligent robotics, and underwater rescue operations.
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