Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/153923
Title: Flexible tactile sensor based on patterned ag-nanofiber electrodes through electrospinning
Authors: Chen, Mengxiao
Wang, Zhe
Zheng, Yu
Zhang, Qichong
He, Bing
Yang, Jiao
Qi, Miao
Wei, Lei
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Source: Chen, M., Wang, Z., Zheng, Y., Zhang, Q., He, B., Yang, J., Qi, M. & Wei, L. (2021). Flexible tactile sensor based on patterned ag-nanofiber electrodes through electrospinning. Sensors, 21(7), 2413-. https://dx.doi.org/10.3390/s21072413
Project: MOE2019-T2-2-127
T2EP50120-0005
A2083c0062
RG90/19
RG73/19
NRF-CRP18-2017-02
Journal: Sensors
Abstract: The growing demand for intelligent equipment has greatly inspired the development of flexible devices. Thus, disparate flexible multifunctional devices, including pressure sensitive flexible/stretchable displays, have drawn worldwide research attention. Electrodes maintaining conductivity and mechanical strength against deformations are indispensable components in all prospective applications. In this work, a flexible pressure mapping sensor array is developed based on patterned Ag-nanofibers (Ag-NFs) electrode through electrospinning and lithography. The metallic Ag layer is sputtered onto the electrospinning polyvinyl alcohol (PVA) NFs. A uniform and super conductive electrode layer with outstanding mechanical performance is thus formed after dissolving PVA. Followed by the traditional lithography method, a patterned electrode array (4 × 4 sensors) is obtained. Based on the newly developed triboelectric nanogenerator (TENG) technology, a flexible pressure-mapping sensor with excellent stability towards bending deformations is further demonstrated. Moreover, a letter "Z" is successfully visualized by this pressure sensor array, encouraging more human-machine interactive implementations, such as multi-functional tactile screens.
URI: https://hdl.handle.net/10356/153923
ISSN: 1424-8220
DOI: 10.3390/s21072413
DOI (Related Dataset): 10.21979/N9/3L420X
Rights: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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