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Multi-scale numerical simulations on piezoresistivity of CNT/polymer nanocomposites
In this work, we propose a comprehensive multi-scale three-dimensional (3D) resistor network numerical model to predict the piezoresistivity behavior of a nanocomposite material composed of an insulating polymer matrix and conductive carbon nanotubes (CNTs). This material is expected to be used as h...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3441497/ https://www.ncbi.nlm.nih.gov/pubmed/22804919 http://dx.doi.org/10.1186/1556-276X-7-402 |
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author | Hu, Bin Hu, Ning Li, Yuan Akagi, Kentaro Yuan, Weifeng Watanabe, Tomonori Cai, Yong |
author_facet | Hu, Bin Hu, Ning Li, Yuan Akagi, Kentaro Yuan, Weifeng Watanabe, Tomonori Cai, Yong |
author_sort | Hu, Bin |
collection | PubMed |
description | In this work, we propose a comprehensive multi-scale three-dimensional (3D) resistor network numerical model to predict the piezoresistivity behavior of a nanocomposite material composed of an insulating polymer matrix and conductive carbon nanotubes (CNTs). This material is expected to be used as highly sensitive resistance-type strain sensors due to its high piezoresistivity defined as the resistance change ratio divided by the mechanical strain. In this multi-scale 3D numerical model, three main working mechanisms, which are well known to induce the piezoresistivity of strain sensors fabricated from nanocomposites, are for the first time considered systematically. They are (a) the change of the internal conductive network formed by the CNTs, (b) the tunneling effect among neighboring CNTs, and (c) the CNTs’ piezoresistivity. Comparisons between the present numerical results and our previous experimental ones were also performed to validate the present numerical model. The influence of the CNTs’ piezoresistivity on the total piezoresistivity of nanocomposite strain sensors is explored in detail and further compared with that of the other two mechanisms. It is found that the first two working mechanisms (i.e., the change of the internal conductive network and the tunneling effect) play a major role on the piezoresistivity of the nanocomposite strain sensors, whereas the contribution from the CNTs’ piezoresistivity is quite small. The present numerical results can provide valuable information for designing highly sensitive resistance-type strain sensors made from various nanocomposites composed of an insulating polymer matrix and conductive nanofillers. |
format | Online Article Text |
id | pubmed-3441497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Springer |
record_format | MEDLINE/PubMed |
spelling | pubmed-34414972012-09-17 Multi-scale numerical simulations on piezoresistivity of CNT/polymer nanocomposites Hu, Bin Hu, Ning Li, Yuan Akagi, Kentaro Yuan, Weifeng Watanabe, Tomonori Cai, Yong Nanoscale Res Lett Nano Express In this work, we propose a comprehensive multi-scale three-dimensional (3D) resistor network numerical model to predict the piezoresistivity behavior of a nanocomposite material composed of an insulating polymer matrix and conductive carbon nanotubes (CNTs). This material is expected to be used as highly sensitive resistance-type strain sensors due to its high piezoresistivity defined as the resistance change ratio divided by the mechanical strain. In this multi-scale 3D numerical model, three main working mechanisms, which are well known to induce the piezoresistivity of strain sensors fabricated from nanocomposites, are for the first time considered systematically. They are (a) the change of the internal conductive network formed by the CNTs, (b) the tunneling effect among neighboring CNTs, and (c) the CNTs’ piezoresistivity. Comparisons between the present numerical results and our previous experimental ones were also performed to validate the present numerical model. The influence of the CNTs’ piezoresistivity on the total piezoresistivity of nanocomposite strain sensors is explored in detail and further compared with that of the other two mechanisms. It is found that the first two working mechanisms (i.e., the change of the internal conductive network and the tunneling effect) play a major role on the piezoresistivity of the nanocomposite strain sensors, whereas the contribution from the CNTs’ piezoresistivity is quite small. The present numerical results can provide valuable information for designing highly sensitive resistance-type strain sensors made from various nanocomposites composed of an insulating polymer matrix and conductive nanofillers. Springer 2012-07-17 /pmc/articles/PMC3441497/ /pubmed/22804919 http://dx.doi.org/10.1186/1556-276X-7-402 Text en Copyright ©2012 Hu et al.; licensee Springer. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Nano Express Hu, Bin Hu, Ning Li, Yuan Akagi, Kentaro Yuan, Weifeng Watanabe, Tomonori Cai, Yong Multi-scale numerical simulations on piezoresistivity of CNT/polymer nanocomposites |
title | Multi-scale numerical simulations on piezoresistivity of CNT/polymer nanocomposites |
title_full | Multi-scale numerical simulations on piezoresistivity of CNT/polymer nanocomposites |
title_fullStr | Multi-scale numerical simulations on piezoresistivity of CNT/polymer nanocomposites |
title_full_unstemmed | Multi-scale numerical simulations on piezoresistivity of CNT/polymer nanocomposites |
title_short | Multi-scale numerical simulations on piezoresistivity of CNT/polymer nanocomposites |
title_sort | multi-scale numerical simulations on piezoresistivity of cnt/polymer nanocomposites |
topic | Nano Express |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3441497/ https://www.ncbi.nlm.nih.gov/pubmed/22804919 http://dx.doi.org/10.1186/1556-276X-7-402 |
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