TY - JOUR
T1 - Flexible Low-Density Polyethylene–BaTiO3 Nanoparticle Composites for Monitoring Leakage Current in High-Tension Equipment
AU - Gupta, Ranjeetkumar
AU - Badel, Birzhan
AU - Gupta, Priya
AU - Bucknall, David G.
AU - Flynn, David
AU - Pancholi, Ketan
N1 - Funding Information:
The authors are grateful to the staff of School of Engineering (David Howie, Alan Mclean, Alexander Laing, David Smith, Martin Johnstone, Alan Macpherson, Patrick Kane, and the EA Team),School of Pharmacy (Laurie Smith, Tracy Willox, Bruce Petrie, Carlos Fernandez, Jenny Macaskill, and Kerr Mathews) at Robert Gordon University and Nathan Oo (EPS) of Heriot-Watt University for making their facility available for part of this research. Financial support is also provided by Innovate UK, Heriot-Watt University and MacTaggart, Scott & Co. Ltd. through KTP grant reference no. 11746.
Publisher Copyright:
©
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/3/26
Y1 - 2021/3/26
N2 - Polymer–nanoparticle composites prepared using a low-density polyethylene (LDPE) matrix with BaTiO3 nanoparticle compositions of 6, 9, 12, and 15 wt % have shown insulating behavior and are evaluated for their applicability as flexible strain sensors. With increasing percentage of the nanoparticles, the LDPE crystallinity decreased from 38.11 to 33.79% and the maximum electrical displacement response was seen to increase from 2.727 × 10–4 to 4.802 × 10–4 C/cm2. The maximum current, remnant current, and coercive field, all increased with the increasing nanoinclusion loading. Furthermore, the interaction radius values derived from the three-dimensional (3D) model of the nanoparticle dispersion state in polymer–nanoparticle composites were found to be correlated with its key properties. The interaction radius values from the simulated 3D model gave a clear basis for comparing the electrical properties of the samples with the effect of the nanoparticles’ functionalization on the dispersion state in the context of the increased NP loading and giving the values of 275, 290, 310, and 300 nm, respectively. The 12 wt % nanoparticulate-loaded sample demonstrates the best overall trade-off of key parameters studied herein. Overall, the results demonstrate that these flexible polymer–nanoparticle composites could be used for strain-based sensors in the high-tension applications.
AB - Polymer–nanoparticle composites prepared using a low-density polyethylene (LDPE) matrix with BaTiO3 nanoparticle compositions of 6, 9, 12, and 15 wt % have shown insulating behavior and are evaluated for their applicability as flexible strain sensors. With increasing percentage of the nanoparticles, the LDPE crystallinity decreased from 38.11 to 33.79% and the maximum electrical displacement response was seen to increase from 2.727 × 10–4 to 4.802 × 10–4 C/cm2. The maximum current, remnant current, and coercive field, all increased with the increasing nanoinclusion loading. Furthermore, the interaction radius values derived from the three-dimensional (3D) model of the nanoparticle dispersion state in polymer–nanoparticle composites were found to be correlated with its key properties. The interaction radius values from the simulated 3D model gave a clear basis for comparing the electrical properties of the samples with the effect of the nanoparticles’ functionalization on the dispersion state in the context of the increased NP loading and giving the values of 275, 290, 310, and 300 nm, respectively. The 12 wt % nanoparticulate-loaded sample demonstrates the best overall trade-off of key parameters studied herein. Overall, the results demonstrate that these flexible polymer–nanoparticle composites could be used for strain-based sensors in the high-tension applications.
KW - BaTiO
KW - flexible sensors
KW - interaction radius
KW - low-density polyethylene (LDPE)
KW - nanoparticle composites
KW - strain
UR - http://www.scopus.com/inward/record.url?scp=85103451012&partnerID=8YFLogxK
U2 - 10.1021/acsanm.0c02719
DO - 10.1021/acsanm.0c02719
M3 - Article
SN - 2574-0970
VL - 4
SP - 2413
EP - 2422
JO - ACS Applied Nano Materials
JF - ACS Applied Nano Materials
IS - 3
ER -