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A Voiceprint Recognition Sensor Based on a Fully 3D‐Printed Triboelectric Nanogenerator via a One‐Step Molding Route
Author(s) -
Guo Rui,
Zhang Hulin,
Pei Zhen,
Yang Song,
Ge Chao,
Sang Shengbo,
Hao Runfang
Publication year - 2020
Publication title -
advanced engineering materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 114
eISSN - 1527-2648
pISSN - 1438-1656
DOI - 10.1002/adem.201901560
Subject(s) - triboelectric effect , nanogenerator , fabrication , materials science , electronics , process (computing) , inkwell , nanotechnology , sensitivity (control systems) , electrical engineering , computer science , engineering , electronic engineering , piezoelectricity , composite material , medicine , alternative medicine , pathology , operating system
The efficient preparation of energy harvesters plays a pivotal role in large‐scale applications, especially in complex or smart electronics. Currently, most of home‐made laboratorial electrical devices are fabricated by handcraft, which severely suppresses the development of triboelectric nanogenerators (TENGs). Herein, a fully 3D‐printing TENG is reported, with a PDMS tribolayer and frame directly printed on an Al electrode. The one‐step fabrication not only simplifies the manufacturing process, but also narrows differences between devices and realizes large‐scale production. The subtly fabricated TENG shows a high sensitivity to microvibration, resulting in that a voiceprint recognition sensor is demonstrated to detect human language. Because of the ingenious 3D‐printing technique, the TENG sensor can identify human words steadily and accurately. Herein, a way is paved in larger‐scale applications based on TENGs and implies more potential in artificial intelligence and future robots.