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  5. Stretchable‐Rubber‐Based Triboelectric Nanogenerator and Its Application as Self‐Powered Body Motion Sensors

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Article
en
2015

Stretchable‐Rubber‐Based Triboelectric Nanogenerator and Its Application as Self‐Powered Body Motion Sensors

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en
2015
Vol 25 (24)
Vol. 25
DOI: 10.1002/adfm.201500428

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Yi Fang
Long Lin
Simiao Niu
+9 more

Abstract

A stretchable‐rubber‐based (SR‐based) triboelectric nanogenerator (TENG) is developed that can not only harvest energy but also serve as self‐powered multifunctional sensors. It consists of a layer of elastic rubber and a layer of aluminum film that acts as the electrode. By stretching and releasing the rubber, the changes of triboelectric charge distribution/density on the rubber surface relative to the aluminum surface induce alterations to the electrical potential of the aluminum electrode, leading to an alternating charge flow between the aluminum electrode and the ground. The unique working principle of the SR‐based TENG is verified by the coupling of numerical calculations and experimental measurements. A comprehensive study is carried out to investigate the factors that may influence the output performance of the SR‐based TENG. By integrating the devices into a sensor system, it is capable of detecting movements in different directions. Moreover, the SR‐based TENG can be attached to a human body to detect diaphragm breathing and joint motion. This work largely expands the applications of TENG not only as effective power sources but also as active sensors; and opens up a new prospect in future electronics.

How to cite this publication

Yi Fang, Long Lin, Simiao Niu, Po Kang Yang, Zhaona Wang, Jun Chen, Yusheng Zhou, Yunlong Zi, Jie Wang, Qingliang Liao, Yue Zhang, Zhong Lin Wang (2015). Stretchable‐Rubber‐Based Triboelectric Nanogenerator and Its Application as Self‐Powered Body Motion Sensors. , 25(24), DOI: https://doi.org/10.1002/adfm.201500428.

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Publication Details

Type

Article

Year

2015

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adfm.201500428

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