Abstract

Flexible pressure sensors can convert mechanical stimuli to electrical signals to interact with the surroundings, mimicking the functionality of the human skins. Piezocapacitive pressure sensors, a class of most widely used devices for artificial skins, however, often suffer from slow response-relaxation speed (tens of milliseconds) and thus fail to detect dynamic stimuli or high-frequency vibrations. Here, we show that the contact-separation behavior of the electrode-dielectric interface is an energy dissipation process that substantially determines the response-relaxation time of the sensors. We thus reduce the response and relaxation time to ~0.04 ms using a bonded microstructured interface that effectively diminishes interfacial friction and energy dissipation. The high response-relaxation speed allows the sensor to detect vibrations over 10 kHz, which enables not only dynamic force detection, but also acoustic applications. This sensor also shows negligible hysteresis to precisely track dynamic stimuli. Our work opens a path that can substantially promote the response-relaxation speed of piezocapacitive pressure sensors into submillisecond range and extend their applications in acoustic range.

Piezocapacitive pressure sensors are typically limited by the slow response-relaxation speed for detecting dynamic stimuli. Here, Zhang et al. utilize the electrode-dielectric interface and bonded micro-structured interface for energy dissipation and reduce the response and relaxation time to 0.04 ms.

Details

Title
Ultrafast piezocapacitive soft pressure sensors with over 10 kHz bandwidth via bonded microstructured interfaces
Author
Zhang, Yuan 1 ; Zhou, Xiaomeng 2   VIAFID ORCID Logo  ; Zhang, Nian 3 ; Zhu, Jiaqi 1 ; Bai, Ningning 1 ; Hou, Xingyu 1 ; Sun, Tao 4 ; Li, Gang 1 ; Zhao, Lingyu 1 ; Chen, Yingchun 5 ; Wang, Liu 6   VIAFID ORCID Logo  ; Guo, Chuan Fei 1   VIAFID ORCID Logo 

 Southern University of Science and Technology, Department of Materials Science and Engineering, Shenzhen, China (GRID:grid.263817.9) (ISNI:0000 0004 1773 1790) 
 Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen, China (GRID:grid.458489.c) (ISNI:0000 0001 0483 7922) 
 University of Science and Technology of China, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Hefei, China (GRID:grid.59053.3a) (ISNI:0000 0001 2167 9639) 
 Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China (GRID:grid.263817.9) (ISNI:0000 0004 1773 1790) 
 Commercial Aircraft Corporation of China Ltd., Science and Technology Committee, Shanghai, China (GRID:grid.464241.1) (ISNI:0000 0004 1786 5481) 
 University of Science and Technology of China, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Hefei, China (GRID:grid.59053.3a) (ISNI:0000 0001 2167 9639); Chinese Academy of Science, State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
Pages
3048
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3034564153
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.