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Multiscale Analysis of the Highly Stretchable Carbon−Based Polymer Strain Sensor
In this paper, a multiscale analysis method was proposed to simulate carbon nanoparticles (CNPs)−filled polymers which can be strain sensors applied in wearable electronic devices, flexible skin, and health monitoring fields. On the basis of the microstructure characteristics of the composite, a mic...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097124/ https://www.ncbi.nlm.nih.gov/pubmed/37050395 http://dx.doi.org/10.3390/polym15071780 |
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author | Wang, Junpu Wang, Zhu Zuo, Yanjiang Wang, Wenzhi |
author_facet | Wang, Junpu Wang, Zhu Zuo, Yanjiang Wang, Wenzhi |
author_sort | Wang, Junpu |
collection | PubMed |
description | In this paper, a multiscale analysis method was proposed to simulate carbon nanoparticles (CNPs)−filled polymers which can be strain sensors applied in wearable electronic devices, flexible skin, and health monitoring fields. On the basis of the microstructure characteristics of the composite, a microscale representative volume element model of the CNPs−filled polymer was established using the improved nearest−neighbor algorithm. By finite element analysis, the variation of the junction widths of adjacent aggregates can be extracted from the simulation results. Then, according to the conductive mechanism of CNP−filled polymers, the composite was simplified as a circuit network composed of vast random resistors which were determined by the junction widths between adjacent aggregates. Hence, by taking junction widths as the link, the resistance variation of the CNPs−filled polymer with the strain can be obtained. To verify the proposed method, the electromechanical responses of silicone elastomer filled with different CNPs under different filling amounts were investigated numerically and experimentally, respectively, and the results were in good agreement. Therefore, the multiscale analysis method can not only reveal the strain−sensing mechanism of the composite from the microscale, but also effectively predict the electromechanical behavior of the CNPs−filled polymer with different material parameters. |
format | Online Article Text |
id | pubmed-10097124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100971242023-04-13 Multiscale Analysis of the Highly Stretchable Carbon−Based Polymer Strain Sensor Wang, Junpu Wang, Zhu Zuo, Yanjiang Wang, Wenzhi Polymers (Basel) Article In this paper, a multiscale analysis method was proposed to simulate carbon nanoparticles (CNPs)−filled polymers which can be strain sensors applied in wearable electronic devices, flexible skin, and health monitoring fields. On the basis of the microstructure characteristics of the composite, a microscale representative volume element model of the CNPs−filled polymer was established using the improved nearest−neighbor algorithm. By finite element analysis, the variation of the junction widths of adjacent aggregates can be extracted from the simulation results. Then, according to the conductive mechanism of CNP−filled polymers, the composite was simplified as a circuit network composed of vast random resistors which were determined by the junction widths between adjacent aggregates. Hence, by taking junction widths as the link, the resistance variation of the CNPs−filled polymer with the strain can be obtained. To verify the proposed method, the electromechanical responses of silicone elastomer filled with different CNPs under different filling amounts were investigated numerically and experimentally, respectively, and the results were in good agreement. Therefore, the multiscale analysis method can not only reveal the strain−sensing mechanism of the composite from the microscale, but also effectively predict the electromechanical behavior of the CNPs−filled polymer with different material parameters. MDPI 2023-04-03 /pmc/articles/PMC10097124/ /pubmed/37050395 http://dx.doi.org/10.3390/polym15071780 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Junpu Wang, Zhu Zuo, Yanjiang Wang, Wenzhi Multiscale Analysis of the Highly Stretchable Carbon−Based Polymer Strain Sensor |
title | Multiscale Analysis of the Highly Stretchable Carbon−Based Polymer Strain Sensor |
title_full | Multiscale Analysis of the Highly Stretchable Carbon−Based Polymer Strain Sensor |
title_fullStr | Multiscale Analysis of the Highly Stretchable Carbon−Based Polymer Strain Sensor |
title_full_unstemmed | Multiscale Analysis of the Highly Stretchable Carbon−Based Polymer Strain Sensor |
title_short | Multiscale Analysis of the Highly Stretchable Carbon−Based Polymer Strain Sensor |
title_sort | multiscale analysis of the highly stretchable carbon−based polymer strain sensor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097124/ https://www.ncbi.nlm.nih.gov/pubmed/37050395 http://dx.doi.org/10.3390/polym15071780 |
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