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Reversible switching performance of water droplet-driven triboelectric nanogenerators using a magnetocontrollable lubricant-infused surface for sustainable power generation SCIE SCOPUS

Title
Reversible switching performance of water droplet-driven triboelectric nanogenerators using a magnetocontrollable lubricant-infused surface for sustainable power generation
Authors
Yun, SoyeonCho, SuhyeonKim, Hyeon WooCho, Sung BeomLee, SeunghyupYong, Kijung
Date Issued
2022-12
Publisher
ELSEVIER
Abstract
Triboelectric nanogenerators (TENGs) are attracting great attention as potential renewable power sources; in particular, water droplet-driven liquid-solid (LS) TENGs are highly useful due to their abundant sources in daily life. This study developed a novel approach for switching the LS triboelectrification by using a magneto -controllable lubricant-infused surface (MCLIS). The basic units of the MCLIS-based TENG (MCLIS-TENG), that is, magnetocontrollable microwires, showed different alignment states, i.e., vertically standing or lying down, depending on the direction of the applied magnetic field. These reversible wetting states generated distinctive voltage outputs of similar to 2 V (ON state) and < 0.5 V (OFF state), correspondingly. ON/OFF cycles revealed excellent reversibility and stability even after 90 cycles. The switching characteristics of the MCLIS-TENG were studied systematically by varying the Weber number, inclination angle, and lubricant thickness. The proposed device also demonstrated highly sustainable power generation by utilizing the switchable wetting states even under high humidity, where the performance of most LS-TENGs degraded due to surface wetting problems. In addition, the MCLIS-TENG based self-powered magnetic proximity sensor is proposed as an exemplary application to detect the magnetic field intensity and the location of sensing object. This work provides a new idea of mag-netoresponsive triboelectric switching, widening the TENG usability in low-power-consumption applications such as wireless switches and self-powered sensors.
URI
https://oasis.postech.ac.kr/handle/2014.oak/115208
DOI
10.1016/j.nanoen.2022.107783
ISSN
2211-2855
Article Type
Article
Citation
NANO ENERGY, vol. 103, 2022-12
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