Novel linear piezo‐resistive auxetic meta‐sensors with low Young's modulus by a core–shell conceptual design and electromechanical modelling

Taherkhani, B, Bodaghi, M ORCID: https://orcid.org/0000-0002-0707-944X, Mousavi Nejad Souq, SS, Malmir Chegini, M and Nemati, M, 2023. Novel linear piezo‐resistive auxetic meta‐sensors with low Young's modulus by a core–shell conceptual design and electromechanical modelling. Macromolecular Materials and Engineering: 2300219. ISSN 1438-7492

Preview

Text 1843881_Bodaghi.pdf - Published version Download (4MB) | Preview

Abstract

Production of piezo-resistive auxetic sensors is usually carried out through mixing and coating methods. Although these methods are beneficial, Young's modulus of mixed sensors becomes high because of using a high percentage of sensing elements while the durability of coated sensors gets low due to the separation of sensing elements from the sensor surface. This article presents a new core–shell metamaterial model to address the mentioned problems. The shell and the core are produced of polydimethylsiloxane (PDMS) rubber and a mixture of PDMS/graphite powders (73.45 wt% graphite powders), respectively. A finite element model is developed via COMSOL software to predict the electromechanical behaviors of the created sensor and verified by an experimental study. Scanning electron microscope imaging is conducted to detect the separations of the graphite particles. The main important feature of this meta-sensor is to possess a linear sensitivity due to having zero Poisson's ratio. The advantage of this method is that Young's modulus of the sensor does not decrease (unlike the mixing method), and the sensor-coated particles do not separate from the sensor after a while (unlike the coating method). The introduced model has advantages that promote potential applications such as using sensory gloves to detect, for instance, human hand movements.

Item Type:	Journal article
Publication Title:	Macromolecular Materials and Engineering
Creators:	Taherkhani, B., Bodaghi, M., Mousavi Nejad Souq, S.S., Malmir Chegini, M. and Nemati, M.
Publisher:	Wiley
Date:	22 September 2023
ISSN:	1438-7492
Identifiers:	Number Type 10.1002/mame.202300219 DOI 1843881 Other
Rights:	© 2023 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Divisions:	Schools > School of Science and Technology
Record created by:	Jeremy Silvester
Date Added:	13 Dec 2023 10:40
Last Modified:	13 Dec 2023 10:40
URI:	https://irep.ntu.ac.uk/id/eprint/50536

Actions (login required)

Edit View

Statistics

Views

Downloads