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Cited 5 time in webofscience Cited 6 time in scopus
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Flexible one-structure arched triboelectric nanogenerator based on common electrode for high efficiency energy harvesting and self-powered motion sensingopen access

Authors
Chen, X.[Chen, X.]He, J.[He, J.]Song, L.[Song, L.]Zhang, Z.[Zhang, Z.]Tian, Z.[Tian, Z.]Wen, T.[Wen, T.]Zhai, C.[Zhai, C.]Chen, Y.[Chen, Y.]Cho, J.[Cho, J.]Chou, X.[Chou, X.]Xue, C.[Xue, C.]
Issue Date
Apr-2018
Publisher
AMER INST PHYSICS
Citation
AIP ADVANCES, v.8, no.4
Indexed
SCIE
SCOPUS
Journal Title
AIP ADVANCES
Volume
8
Number
4
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/20479
DOI
10.1063/1.5027659
ISSN
2158-3226
Abstract
Triboelectric nanogenerators are widely used because of low cost, simple manufacturing process and high output performance. In this work, a flexible one-structure arched triboelectric nanogenerator (FOAT), based on common electrode to combine the single-electrode mode and contact-separation, was designed using silicone rubber, epoxy resin and flexible electrode. The peak-to-peak short circuit current of 18 mu A and the peak-to-peak open circuit voltage of 570V can be obtained from the FOAT with the size of 5 x 7 cm(2) under the frequency of 3Hz and the pressure of 300N. The peak-to-peak short circuit current of FOAT is increased by 29% and 80%, and the peak-to-peak open circuit voltage is increased by 33% and 54% compared with single-electrode mode and contact-separation mode, respectively. FOAT realizes the combination of two generation modes, which improves the output performance of triboelectric nanogenerator (TENG). 62 light-emitting-diodes (LEDs) can be completely lit up and 2.2 mu F capacitor can be easily charged to 1.2V in 9s. When the FOAT is placed at different parts of the human body, the human motion energy can be harvested and be the sensing signal for motion monitoring sensor. Based on the above characteristics, FOAT exhibits great potential in illumination, power supplies for wearable electronic devices and self-powered motion monitoring sensor via harvesting the energy of human motion. (c) 2018 Author(s).
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