Graphene Coated Liquid Metal Droplet-Enabled Dual-Axis Integrated Accelerometer

Wedyan Babatain, Nazek Elatab, Muhammad Mustafa Hussain

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This paper presents the design, optimization, fabrication, and characterization of a novel accelerometer consisting of a graphene-coated liquid metal proof mass integrated with laser-induced graphene (LIG) resistive sensing elements. The sensor utilizes the unique electromechanical properties of eutectic gallium-indium (EGaIn) liquid metal by confining an EGaIn droplet within a graphene-patterned 3D pyramid cavity. The pyramid base structure imposes a restoring force on the droplet enabling continuous and simultaneous sensing in two directions using a single proof mass. Coating EGaIn droplet with graphene forms an interpenetrated protective shell around the droplet, enhancing its mobility and mechanical robustness. Design optimization of the sensing microelectrodes is performed to improve the sensor performance. The accelerometer performance is evaluated and characterized, demonstrating a sensitivity of ≈9.5 kΩ g−1 (978 Ω m−1 s2) and a cross-axis sensitivity of ≈3 % with excellent repeatability (over 120 000 cycles). The sensor is fabricated using a scalable laser writing technique and integrated with a programmable system on a chip (PSoC) to function as a stand-alone system for real-time wireless motion monitoring and virtual game control. The developed Graphene/Liquid metal droplet-based sensor is promising for applications of inertial sensors, inertial switches, and soft liquid metal robots with attractive electromechanical properties.
Original languageEnglish (US)
Pages (from-to)2201094
JournalAdvanced Materials Technologies
DOIs
StatePublished - Oct 10 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-10-13
Acknowledged KAUST grant number(s): REP/1/2880-01-01
Acknowledgements: This publication is based upon work supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. REP/1/2880-01-01.

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