The University of Southampton
University of Southampton Institutional Repository

Experimental study and numerical estimation of moisture effect on charge transport in polymer nanocomposites

Experimental study and numerical estimation of moisture effect on charge transport in polymer nanocomposites
Experimental study and numerical estimation of moisture effect on charge transport in polymer nanocomposites
Polymer nanocomposites as dielectrics have attracted a wide range of research interests due to their improved performance. One of the observed characteristics of polymer nanocomposites is the suppression on space charge injection and accumulation and the charge transport mechanism behind is also investigated based on thermally activated hopping (TAH) and quantum mechanical tunnelling (QMT) mechanisms. However, there still lacks research on the effect of moisture on charge transport characteristics and its relationship with experimental results. We herein proposed a method to re-virtualize the distribution of nanoparticles/their aggregates based on the multidimensional scaling (MDS) method in the first step, and a simple numerical method is further following to estimate the contribution of TAH and QMT conductivities to the experimental ones. The results, firstly, indicate the presence of moisture could lead to significant charge injections, and for different relative humidity conditions, due to their diverse water shell thickness, the separation distances of nanoparticles where deep/shallow traps locate show an obvious reduction and consequently vary the contribution of TAH and QMT conductivities in the measured ones. Second, the TAH mechanism plays the main role in charge transport/conduction, especially under lower RH conditions, while the obvious increment of QMT conduction is attributed to the reduced trap distances caused by thicker conductive water shells and support the existence of deep traps. Besides, the proposed model could be potentially extended to other research topics on electrical properties of polymer nanocomposites, such as particle size, dispersion/distribution status and filler loading concentrations which can be reflected and explained via the variation of nanoparticle surface/trap site distances.
Charge transport, Electrical properties, Hopping and tunneling process, Modelling, Moisture, Nanocomposites
0022-3727
Qiang, Dayuan
2a64f637-fc33-4722-ab29-4e8fd60895a1
Wang, Xinyu
b0de6d39-87db-4bda-a097-a8ec50804a4a
Wang, Yan
f64021d0-1658-417b-93a7-b59055bd76f9
Andritsch, Thomas
8681e640-e584-424e-a1f1-0d8b713de01c
Chen, George
3de45a9c-6c9a-4bcb-90c3-d7e26be21819
Qiang, Dayuan
2a64f637-fc33-4722-ab29-4e8fd60895a1
Wang, Xinyu
b0de6d39-87db-4bda-a097-a8ec50804a4a
Wang, Yan
f64021d0-1658-417b-93a7-b59055bd76f9
Andritsch, Thomas
8681e640-e584-424e-a1f1-0d8b713de01c
Chen, George
3de45a9c-6c9a-4bcb-90c3-d7e26be21819

Qiang, Dayuan, Wang, Xinyu, Wang, Yan, Andritsch, Thomas and Chen, George (2020) Experimental study and numerical estimation of moisture effect on charge transport in polymer nanocomposites. Journal of Physics D: Applied Physics, 53 (34), [345304]. (doi:10.1088/1361-6463/ab8cee).

Record type: Article

Abstract

Polymer nanocomposites as dielectrics have attracted a wide range of research interests due to their improved performance. One of the observed characteristics of polymer nanocomposites is the suppression on space charge injection and accumulation and the charge transport mechanism behind is also investigated based on thermally activated hopping (TAH) and quantum mechanical tunnelling (QMT) mechanisms. However, there still lacks research on the effect of moisture on charge transport characteristics and its relationship with experimental results. We herein proposed a method to re-virtualize the distribution of nanoparticles/their aggregates based on the multidimensional scaling (MDS) method in the first step, and a simple numerical method is further following to estimate the contribution of TAH and QMT conductivities to the experimental ones. The results, firstly, indicate the presence of moisture could lead to significant charge injections, and for different relative humidity conditions, due to their diverse water shell thickness, the separation distances of nanoparticles where deep/shallow traps locate show an obvious reduction and consequently vary the contribution of TAH and QMT conductivities in the measured ones. Second, the TAH mechanism plays the main role in charge transport/conduction, especially under lower RH conditions, while the obvious increment of QMT conduction is attributed to the reduced trap distances caused by thicker conductive water shells and support the existence of deep traps. Besides, the proposed model could be potentially extended to other research topics on electrical properties of polymer nanocomposites, such as particle size, dispersion/distribution status and filler loading concentrations which can be reflected and explained via the variation of nanoparticle surface/trap site distances.

Text
JPhysD_Experimental+Study+and+Numerical+Estimation+of+Moisture+Effect+on+Charge+Transport+in+Polymer+Nanocomposites - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (888kB)

More information

Accepted/In Press date: 24 April 2020
e-pub ahead of print date: 24 April 2020
Keywords: Charge transport, Electrical properties, Hopping and tunneling process, Modelling, Moisture, Nanocomposites

Identifiers

Local EPrints ID: 439779
URI: http://eprints.soton.ac.uk/id/eprint/439779
ISSN: 0022-3727
PURE UUID: f0d91b29-b662-4e94-90cb-ae3e96fab6f5
ORCID for Xinyu Wang: ORCID iD orcid.org/0000-0001-9434-2906
ORCID for Thomas Andritsch: ORCID iD orcid.org/0000-0002-3462-022X

Catalogue record

Date deposited: 04 May 2020 16:30
Last modified: 18 Feb 2021 17:31

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×