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...
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MDPI AG
2019-07-01
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Series: | Polymers |
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Online Access: | https://www.mdpi.com/2073-4360/11/8/1250 |
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author | Oladipo Folorunso Yskandar Hamam Rotimi Sadiku Suprakas Sinha Ray Adekoya Gbolahan Joseph |
author_facet | Oladipo Folorunso Yskandar Hamam Rotimi Sadiku Suprakas Sinha Ray Adekoya Gbolahan Joseph |
author_sort | Oladipo Folorunso |
collection | DOAJ |
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. |
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format | Article |
id | doaj.art-f7ec7d12ce304ae29dfce6888c871465 |
institution | Directory Open Access Journal |
issn | 2073-4360 |
language | English |
last_indexed | 2024-04-13T06:31:32Z |
publishDate | 2019-07-01 |
publisher | MDPI AG |
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series | Polymers |
spelling | doaj.art-f7ec7d12ce304ae29dfce6888c8714652022-12-22T02:58:08ZengMDPI AGPolymers2073-43602019-07-01118125010.3390/polym11081250polym11081250Parametric Analysis of Electrical Conductivity of Polymer-CompositesOladipo Folorunso0Yskandar Hamam1Rotimi Sadiku2Suprakas Sinha Ray3Adekoya Gbolahan Joseph4French South African Institute of Technology (F’SATI)/Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South AfricaFrench South African Institute of Technology (F’SATI)/Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South AfricaInstitute of Nanoengineering Research (INER)/Department of Chemical, Metallurgy and Material Engineering, Tshwane University of Technology, Pretoria 0001, South AfricaDST-CSIR National Centre for Nanostructured Materials, Council for Scientific and Industrial Research, Pretoria 0001, South AfricaInstitute of Nanoengineering Research (INER)/Department of Chemical, Metallurgy and Material Engineering, Tshwane University of Technology, Pretoria 0001, South AfricaThe 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.https://www.mdpi.com/2073-4360/11/8/1250polymersfillersmodelspercolationelectricalconductivity |
spellingShingle | Oladipo Folorunso Yskandar Hamam Rotimi Sadiku Suprakas Sinha Ray Adekoya Gbolahan Joseph Parametric Analysis of Electrical Conductivity of Polymer-Composites Polymers polymers fillers models percolation electrical conductivity |
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 | polymers fillers models percolation electrical conductivity |
url | https://www.mdpi.com/2073-4360/11/8/1250 |
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