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Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models

Mostafizur Rahaman Orcid Logo, Prashant Gupta, Mokarram Hossain Orcid Logo, Govindasami Periyasami, Paramita Das

Colloid and Polymer Science, Volume: 301

Swansea University Author: Mokarram Hossain Orcid Logo

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DOI (Published version): 10.1007/s00396-023-05120-2

Abstract

The AC electrical properties of EVA- and NBR-based composites filled with different conductive fillers were investigated. Result shows several magnitudes of increment in AC electrical conductivity and dielectric permittivity after the addition of these conductive fillers, indicating that these mater...

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Published in: Colloid and Polymer Science
ISSN: 0303-402X 1435-1536
Published: Springer Science and Business Media LLC
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URI: https://cronfa.swan.ac.uk/Record/cronfa63532
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spelling v2 63532 2023-05-24 Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models 140f4aa5c5ec18ec173c8542a7fddafd 0000-0002-4616-1104 Mokarram Hossain Mokarram Hossain true false 2023-05-24 GENG The AC electrical properties of EVA- and NBR-based composites filled with different conductive fillers were investigated. Result shows several magnitudes of increment in AC electrical conductivity and dielectric permittivity after the addition of these conductive fillers, indicating that these materials can be used as supercapacitors. The magnitude of increment was varied according to polymer and filler types. Herein, we also have tested the applicability of different sigmoidal models to find out the percolation threshold value of permittivity for these binary polymer composite systems. It is observed that except sigmoidal–Boltzmann and sigmoidal–dose–response models, other sigmoidal models exhibit different values of percolation threshold when considered for any particular polymer composite system. The paper discusses the variation in results of percolation threshold with an emphasis on the advantages, disadvantages and limitations of these models. We also have applied the classical percolation theory to predict the percolation threshold of permittivity and compared with all the reported sigmoidal models. To judge the unanimous acceptability of these models, they tested vis-à-vis the permittivity results of various polymer composites reported in published literature. To comprehend, all the models except the sigmoidal–logistic-1 model were successfully applicable for predicting the percolation threshold of permittivity for polymer composites. Journal Article Colloid and Polymer Science 301 Springer Science and Business Media LLC 0303-402X 1435-1536 Classical percolation theory; Dielectric constant; Percolation threshold; Polymer composites; Sigmoidal models 0 0 0 0001-01-01 10.1007/s00396-023-05120-2 http://dx.doi.org/10.1007/s00396-023-05120-2 COLLEGE NANME General Engineering COLLEGE CODE GENG Swansea University This work is funded by the Researchers Supporting Project number (RSPD2023R674), King Saud University, Riyadh, Saudi Arabia. 2023-09-04T17:34:34.7447825 2023-05-24T13:30:38.3723676 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Mostafizur Rahaman 0000-0002-5495-1771 1 Prashant Gupta 2 Mokarram Hossain 0000-0002-4616-1104 3 Govindasami Periyasami 4 Paramita Das 5 Under embargo Under embargo 2023-06-14T10:34:17.3623696 Output 3173606 application/pdf Accepted Manuscript true 2024-05-23T00:00:00.0000000 true eng
title Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models
spellingShingle Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models
Mokarram Hossain
title_short Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models
title_full Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models
title_fullStr Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models
title_full_unstemmed Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models
title_sort Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models
author_id_str_mv 140f4aa5c5ec18ec173c8542a7fddafd
author_id_fullname_str_mv 140f4aa5c5ec18ec173c8542a7fddafd_***_Mokarram Hossain
author Mokarram Hossain
author2 Mostafizur Rahaman
Prashant Gupta
Mokarram Hossain
Govindasami Periyasami
Paramita Das
format Journal article
container_title Colloid and Polymer Science
container_volume 301
institution Swansea University
issn 0303-402X
1435-1536
doi_str_mv 10.1007/s00396-023-05120-2
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
url http://dx.doi.org/10.1007/s00396-023-05120-2
document_store_str 0
active_str 0
description The AC electrical properties of EVA- and NBR-based composites filled with different conductive fillers were investigated. Result shows several magnitudes of increment in AC electrical conductivity and dielectric permittivity after the addition of these conductive fillers, indicating that these materials can be used as supercapacitors. The magnitude of increment was varied according to polymer and filler types. Herein, we also have tested the applicability of different sigmoidal models to find out the percolation threshold value of permittivity for these binary polymer composite systems. It is observed that except sigmoidal–Boltzmann and sigmoidal–dose–response models, other sigmoidal models exhibit different values of percolation threshold when considered for any particular polymer composite system. The paper discusses the variation in results of percolation threshold with an emphasis on the advantages, disadvantages and limitations of these models. We also have applied the classical percolation theory to predict the percolation threshold of permittivity and compared with all the reported sigmoidal models. To judge the unanimous acceptability of these models, they tested vis-à-vis the permittivity results of various polymer composites reported in published literature. To comprehend, all the models except the sigmoidal–logistic-1 model were successfully applicable for predicting the percolation threshold of permittivity for polymer composites.
published_date 0001-01-01T17:34:36Z
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