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|Title:||Ultra-flexible and large-area textile-based triboelectric nanogenerators with a sandpaper-induced surface microstructure||Authors:||Song, J
|Issue Date:||2018||Publisher:||Molecular Diversity Preservation International (MDPI)||Source:||Materials, 2018, v. 11, no. 11, 2120 How to cite?||Journal:||Materials||Abstract:||Wearable triboelectric nanogenerators (TENGs) have attracted interest in recent years, which demand highly flexible, scalable, and low-cost features. Here, we report an ultra-flexible, large-scale and textile-based TENG (T-TENG) for scavenging human motion energy. The triboelectric layer was derived from the polydimethylsiloxane (PDMS) film with a cost-effective paper-induced rough surface via a facile doctor-blending technology. Ag-coated chinlon fabric (ACF) with ultra-flexible, large-scale and conductive characteristics was used as the electrode. The as-fabricated PDMS-based ACF (PACF) composites possess a 240 × 300 mm2 superficial area and remain highly flexible under mechanical squeezing, folding and even tearing deformation. The maximum output charge of ~21 μC and voltage of 80.40 V were therefore achieved to directly power 100 LEDs based on the high surface area of 762.73 mm2 which was rationally replicated from the sandpaper of the T-TENG. Moreover, the output voltage signal can be also used as a trigger signal of a movement sensor. Importantly, the explicit theoretical model corresponding to T-TENG was quantitatively investigated under different applied force, frequency and effective surface factor.||URI:||http://hdl.handle.net/10397/80377||EISSN:||1996-1944||DOI:||10.3390/ma11112120||Rights:||© 2018 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 (http://creativecommons.org/licenses/by/4.0/).
The following publication: Song, J.; Gao, L.; Tao, X.; Li, L. Ultra-Flexible and Large-Area Textile-Based Triboelectric Nanogenerators with a Sandpaper-Induced Surface Microstructure. Materials 2018, 11, 2120 is available at https://doi.org/10.3390/ma11112120
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