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Parametric Analysis of Electrical Conductivity of Polymer-Composites
The problem associated with mixtures of fillers and polymers is that they result in mechanical degradation of the material (polymer) as the filler content increases. This problem will increase the weight of the material and manufacturing cost. For this reason, experimentation on the electrical condu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722708/ https://www.ncbi.nlm.nih.gov/pubmed/31362397 http://dx.doi.org/10.3390/polym11081250 |
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author | Folorunso, Oladipo Hamam, Yskandar Sadiku, Rotimi Ray, Suprakas Sinha Joseph, Adekoya Gbolahan |
author_facet | Folorunso, Oladipo Hamam, Yskandar Sadiku, Rotimi Ray, Suprakas Sinha Joseph, Adekoya Gbolahan |
author_sort | Folorunso, Oladipo |
collection | PubMed |
description | The problem associated with mixtures of fillers and polymers is that they result in mechanical degradation of the material (polymer) as the filler content increases. This problem will increase the weight of the material and manufacturing cost. For this reason, experimentation on the electrical conductivities of the polymer-composites (PCs) is not enough to research their electrical properties; models have to be adopted to solve the encountered challenges. Hitherto, several models by previous researchers have been developed and proposed, with each utilizing different design parameters. It is imperative to carry out analysis on these models so that the suitable one is identified. This paper indeed carried out a comprehensive parametric analysis on the existing electrical conductivity models for polymer composites. The analysis involves identification of the parameters that best predict the electrical conductivity of polymer composites for energy storage, viz: (batteries and capacitor), sensors, electronic device components, fuel cell electrodes, automotive, medical instrumentation, cathode scanners, solar cell, and military surveillance gadgets applications. The analysis showed that the existing models lack sufficient parametric ability to determine accurately the electrical conductivity of polymer-composites. |
format | Online Article Text |
id | pubmed-6722708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67227082019-09-10 Parametric Analysis of Electrical Conductivity of Polymer-Composites Folorunso, Oladipo Hamam, Yskandar Sadiku, Rotimi Ray, Suprakas Sinha Joseph, Adekoya Gbolahan Polymers (Basel) Review The problem associated with mixtures of fillers and polymers is that they result in mechanical degradation of the material (polymer) as the filler content increases. This problem will increase the weight of the material and manufacturing cost. For this reason, experimentation on the electrical conductivities of the polymer-composites (PCs) is not enough to research their electrical properties; models have to be adopted to solve the encountered challenges. Hitherto, several models by previous researchers have been developed and proposed, with each utilizing different design parameters. It is imperative to carry out analysis on these models so that the suitable one is identified. This paper indeed carried out a comprehensive parametric analysis on the existing electrical conductivity models for polymer composites. The analysis involves identification of the parameters that best predict the electrical conductivity of polymer composites for energy storage, viz: (batteries and capacitor), sensors, electronic device components, fuel cell electrodes, automotive, medical instrumentation, cathode scanners, solar cell, and military surveillance gadgets applications. The analysis showed that the existing models lack sufficient parametric ability to determine accurately the electrical conductivity of polymer-composites. MDPI 2019-07-29 /pmc/articles/PMC6722708/ /pubmed/31362397 http://dx.doi.org/10.3390/polym11081250 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Folorunso, Oladipo Hamam, Yskandar Sadiku, Rotimi Ray, Suprakas Sinha Joseph, Adekoya Gbolahan Parametric Analysis of Electrical Conductivity of Polymer-Composites |
title | Parametric Analysis of Electrical Conductivity of Polymer-Composites |
title_full | Parametric Analysis of Electrical Conductivity of Polymer-Composites |
title_fullStr | Parametric Analysis of Electrical Conductivity of Polymer-Composites |
title_full_unstemmed | Parametric Analysis of Electrical Conductivity of Polymer-Composites |
title_short | Parametric Analysis of Electrical Conductivity of Polymer-Composites |
title_sort | parametric analysis of electrical conductivity of polymer-composites |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722708/ https://www.ncbi.nlm.nih.gov/pubmed/31362397 http://dx.doi.org/10.3390/polym11081250 |
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