Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/12335
Title: Investigation of laser-textured triboelectric nanogenerator for vibration sensing of machine tools
Authors: Kaushik, K.
Gupta, Puneet
Diksha, J.
Tripathi, Ashwani S.
Joshi, Suhas S.
Palani, Anand Iyamperumal
Keywords: laser texturing;performance enhancement;triboelectric nanogenerator;vibration sensing
Issue Date: 2023
Publisher: Institute of Physics
Citation: Kaushik, K., Gupta, P., Diksha, J., Tripathi, A. S., Joshi, S. S., & Palani, I. A. (2023). Investigation of laser-textured triboelectric nanogenerator for vibration sensing of machine tools. Smart Materials and Structures. Scopus. https://doi.org/10.1088/1361-665X/ace394
Abstract: The breakdown of any industrial mechanical system can be predicted and identified using vibration sensing. Piezoelectric material-based vibration sensors are commercially available, but their use is limited by their reliance on external power sources and intricate data-gathering systems. Recently, contact electrification-based triboelectric nanogenerators (TENGs), which are reliable, affordable, and lightweight devices, have been developed as vibration sensors. The TENG is a high-voltage output device
however, its lower current output restricts its practical applications. In this work, we report a novel laser texturing technique for output enhancement of polytetrafluoroethylene (PTFE)- and aluminum (Al)-based TENG for machinery vibration sensing applications. An Nd3+: YAG pulse laser was used for texturing the PTFE sheet. A 50% spatial spot overlap with laser fluences of 10 and 50 J cm−2 was chosen to investigate the impact on the TENG electrical output. As compared to pristine TENG, the open-circuit voltage and short-circuit current of laser-textured (LT) TENG increased from 308 V to 368 V and 12.64 µA to 19.16 µA, respectively. The TENG device was attached to a lathe and a milling machine to sense the change in vibration state with respect to various machining parameters. Moreover, the proposed LT performance-enhanced TENG has excellent potential and broad applications in the fields of machinery monitoring, fault detection, and the Internet of Things and Industry 4.0. © 2023 IOP Publishing Ltd.
URI: https://doi.org/10.1088/1361-665X/ace394
https://dspace.iiti.ac.in/handle/123456789/12335
ISSN: 0964-1726
Type of Material: Journal Article
Appears in Collections:Department of Mechanical Engineering

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