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Microstructural Modeling and Simulation of a Carbon Black-Based Conductive Polymer—A Template for the Virtual Design of a Composite Material
[Image: see text] Carbon black is the most frequently applied conductive additive in rubber and polymer composites. In this work, we show how a carbon black microstructure in a polymer matrix can be conclusively modeled based on carbon black aggregation as well as an agglomeration mechanism using a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404170/ https://www.ncbi.nlm.nih.gov/pubmed/36033654 http://dx.doi.org/10.1021/acsomega.2c01755 |
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author | Wang, Yuanzhen Xu, Chensheng Jahnke, Timotheus Verestek, Wolfgang Schmauder, Siegfried Spatz, Joachim P. |
author_facet | Wang, Yuanzhen Xu, Chensheng Jahnke, Timotheus Verestek, Wolfgang Schmauder, Siegfried Spatz, Joachim P. |
author_sort | Wang, Yuanzhen |
collection | PubMed |
description | [Image: see text] Carbon black is the most frequently applied conductive additive in rubber and polymer composites. In this work, we show how a carbon black microstructure in a polymer matrix can be conclusively modeled based on carbon black aggregation as well as an agglomeration mechanism using a state-of-the-art mathematical model. This novel and flexible microstructural modeling method enables us to virtually investigate the morphology of conductive additives within a polymer matrix and can be adapted to many conductive polymer combinations used for different applications. Furthermore, we calculate the electrical conductivity of the composite using a finite volume-based as well as a discrete element-based simulation technique and validate the results with experimental data. Utilizing a novel discrete element method (DEM) modeling technique, we were able to improve calculation times by a factor of 12.2 compared to finite volume method (FVM) simulations while maintaining high accuracy. Using this approach, we are able to predict the required carbon black content and minimize the amount of additive to create a polymer composite with a designated target conductivity. |
format | Online Article Text |
id | pubmed-9404170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-94041702022-08-26 Microstructural Modeling and Simulation of a Carbon Black-Based Conductive Polymer—A Template for the Virtual Design of a Composite Material Wang, Yuanzhen Xu, Chensheng Jahnke, Timotheus Verestek, Wolfgang Schmauder, Siegfried Spatz, Joachim P. ACS Omega [Image: see text] Carbon black is the most frequently applied conductive additive in rubber and polymer composites. In this work, we show how a carbon black microstructure in a polymer matrix can be conclusively modeled based on carbon black aggregation as well as an agglomeration mechanism using a state-of-the-art mathematical model. This novel and flexible microstructural modeling method enables us to virtually investigate the morphology of conductive additives within a polymer matrix and can be adapted to many conductive polymer combinations used for different applications. Furthermore, we calculate the electrical conductivity of the composite using a finite volume-based as well as a discrete element-based simulation technique and validate the results with experimental data. Utilizing a novel discrete element method (DEM) modeling technique, we were able to improve calculation times by a factor of 12.2 compared to finite volume method (FVM) simulations while maintaining high accuracy. Using this approach, we are able to predict the required carbon black content and minimize the amount of additive to create a polymer composite with a designated target conductivity. American Chemical Society 2022-08-11 /pmc/articles/PMC9404170/ /pubmed/36033654 http://dx.doi.org/10.1021/acsomega.2c01755 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Wang, Yuanzhen Xu, Chensheng Jahnke, Timotheus Verestek, Wolfgang Schmauder, Siegfried Spatz, Joachim P. Microstructural Modeling and Simulation of a Carbon Black-Based Conductive Polymer—A Template for the Virtual Design of a Composite Material |
title | Microstructural
Modeling and Simulation of a Carbon
Black-Based Conductive Polymer—A Template for the Virtual Design
of a Composite Material |
title_full | Microstructural
Modeling and Simulation of a Carbon
Black-Based Conductive Polymer—A Template for the Virtual Design
of a Composite Material |
title_fullStr | Microstructural
Modeling and Simulation of a Carbon
Black-Based Conductive Polymer—A Template for the Virtual Design
of a Composite Material |
title_full_unstemmed | Microstructural
Modeling and Simulation of a Carbon
Black-Based Conductive Polymer—A Template for the Virtual Design
of a Composite Material |
title_short | Microstructural
Modeling and Simulation of a Carbon
Black-Based Conductive Polymer—A Template for the Virtual Design
of a Composite Material |
title_sort | microstructural
modeling and simulation of a carbon
black-based conductive polymer—a template for the virtual design
of a composite material |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404170/ https://www.ncbi.nlm.nih.gov/pubmed/36033654 http://dx.doi.org/10.1021/acsomega.2c01755 |
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