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
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
19 August 2020
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).
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
More information
Accepted/In Press date: 24 April 2020
e-pub ahead of print date: 24 April 2020
Published date: 19 August 2020
Additional Information:
Publisher Copyright:
© 2020 The Author(s). Published by IOP Publishing Ltd.
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
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Date deposited: 04 May 2020 16:30
Last modified: 17 Mar 2024 03:33
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Contributors
Author:
Dayuan Qiang
Author:
Xinyu Wang
Author:
Yan Wang
Author:
Thomas Andritsch
Author:
George Chen
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