Ultra-high gauge factor strain sensor with wide range stretchability

Kumaresan, Y. , Mishra, S. , Ozioko, O., Chirila, R. and Dahiya, R. (2022) Ultra-high gauge factor strain sensor with wide range stretchability. Advanced Intelligent Systems, 4(9), 2200043. (doi: 10.1002/aisy.202200043)

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Strain sensors with wide range stretchability, good sensitivity, high gauge factor, and reliability are needed for several applications. Herein we present stretchable strain sensors capable of operating over multi-strain range and having excellent gauge factor. The systematic study, carried out with different combinations of elastomer, conductive filler and graphene-carbon paste (GCP), revealed that the sensors exhibit excellent stretchability when only filler particles are present in the elastomer, and they exhibit high sensitivity when filler particles are mixed with GCP. The molecular dynamics simulations show that the addition of GCP to the elastomer- filler composite helps to attain the excellent sensor response with wide range stretchability. Thus, sensors response can be tuned by using selected material composition. Accordingly, the strain sensor with 50 wt.% GCP revealed 500% stretchability and a maximum gauge factor of 504. Likewise, 150 wt.% GCP loading led to sensors with 45% stretchability and an unprecedented gauge factor of 1834140. The capability to detect the small- to large-scale strains make the presented sensors attractive for monitoring the movements by body parts – which range from small movements during facial expression to large movement experienced by the limb joints.

Item Type:Articles
Additional Information:This work was supported in part by Engineering and Physical Sciences Research Council (EPSRC) through engineering fellowship for growth (EP/R029644/1) and European Commission through FET-OPEN project Ph-Coding (H2020-FETOPEN-2018- 829186) and Innovative Training Network Project INTUITIVE (H2020-MSCA-ITN-2019-861166).
Keywords:Stretchable electronics, strain sensor, carbon nanotube, elastomer and gauge factor.
Glasgow Author(s) Enlighten ID:Dahiya, Professor Ravinder and Kumaresan, Dr Yogeenth and Chirila, Mr Radu-Razvan and Ozioko, Mr Oliver and Mishra, Mr Shashank
Authors: Kumaresan, Y., Mishra, S., Ozioko, O., Chirila, R., and Dahiya, R.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Advanced Intelligent Systems
ISSN (Online):2640-4567
Published Online:16 June 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Advanced Intelligent Systems 4(9): 2200043
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
301728Engineering Fellowships for Growth: Printed Tactile SKINRavinder DahiyaEngineering and Physical Sciences Research Council (EPSRC)EP/R029644/1ENG - Electronics & Nanoscale Engineering
304237Predictive Haptic COding Devices In Next Generation interfacesRavinder DahiyaEuropean Commission (EC)829186ENG - Electronics & Nanoscale Engineering
306720INnovative Network for Training in ToUch InteracTIVE InterfacesRavinder DahiyaEuropean Commission (EC)861166ENG - Electronics & Nanoscale Engineering