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石墨烯纳米片负载掺杂聚吡咯的电导率研究与建模

Investigation and Modeling of the Electrical Conductivity of Graphene Nanoplatelets-Loaded Doped-Polypyrrole.

作者信息

Folorunso Oladipo, Hamam Yskandar, Sadiku Rotimi, Ray Suprakas Sinha, Kumar Neeraj

机构信息

Department of Electrical Engineering, French South African Institute of Technology (F'SATI), Tshwane University of Technology, Pretoria 0001, South Africa.

Centre for Nanostructures and Advanced Materials, DSI-CSIR Nanotechnology Innovation Centre, Council for Scientific and Industrial Research, Pretoria 0001, South Africa.

出版信息

Polymers (Basel). 2021 Mar 26;13(7):1034. doi: 10.3390/polym13071034.

DOI:10.3390/polym13071034
PMID:33810464
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8036337/
Abstract

In this study, a hybrid of graphene nanoplatelets with a polypyrrole having 20 wt.% loading of carbon-black (HGPPy.CB20%), has been fabricated. The thermal stability, structural changes, morphology, and the electrical conductivity of the hybrids were investigated using thermogravimetric analyzer, differential scanning calorimeter, X-ray diffraction analyzer, scanning electron microscope, and laboratory electrical conductivity device. The morphology of the hybrid shows well dispersion of graphene nanoplatelets on the surface of the PPy.CB20% and the transformation of the gravel-like PPy.CB20% shape to compact spherical shape. Moreover, the hybrid's electrical conductivity measurements showed percolation threshold at 0.15 wt.% of the graphene nanoplatelets content and the curve is non-linear. The electrical conductivity data were analyzed by comparing different existing models (Weber, Clingerman and Taherian). The results show that Taherian and Clingerman models, which consider the aspect ratio, roundness, wettability, filler electrical conductivity, surface interaction, and volume fractions, closely described the experimental data. From these results, it is evident that Taherian and Clingerman models can be modified for better prediction of the hybrids electrical conductivity measurements. In addition, this study shows that graphene nanoplatelets are essential and have a significant influence on the modification of PPy.CB20% for energy storage applications.

摘要

在本研究中，制备了一种石墨烯纳米片与聚吡咯的复合材料，其中聚吡咯负载了20 wt.%的炭黑（HGPPy.CB20%）。使用热重分析仪、差示扫描量热仪、X射线衍射分析仪、扫描电子显微镜和实验室电导率测量装置，对该复合材料的热稳定性、结构变化、形态和电导率进行了研究。复合材料的形态表明，石墨烯纳米片在PPy.CB20%表面分散良好，并且砾石状的PPy.CB20%形状转变为致密的球形。此外，复合材料的电导率测量表明，在石墨烯纳米片含量为0.15 wt.%时出现渗流阈值，且曲线为非线性。通过比较不同的现有模型（韦伯模型、克林格曼模型和塔赫里安模型）对电导率数据进行了分析。结果表明，考虑了长径比、圆度、润湿性、填料电导率、表面相互作用和体积分数的塔赫里安模型和克林格曼模型能够很好地描述实验数据。从这些结果可以明显看出，塔赫里安模型和克林格曼模型可以进行修正，以便更好地预测复合材料的电导率测量结果。此外，本研究表明，石墨烯纳米片对于储能应用中PPy.CB20%的改性至关重要且具有显著影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/573fe1df72a2/polymers-13-01034-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/c614d3571282/polymers-13-01034-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/5311d017d36f/polymers-13-01034-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/ded232389c12/polymers-13-01034-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/ec24cff3dda3/polymers-13-01034-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/8dbc33191eb7/polymers-13-01034-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/40dba501a5c5/polymers-13-01034-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/141c382cd59d/polymers-13-01034-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/caa6056d5fe8/polymers-13-01034-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/cc34907e601f/polymers-13-01034-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/8e5522128d3e/polymers-13-01034-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/fa387ec481ee/polymers-13-01034-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/573fe1df72a2/polymers-13-01034-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/c614d3571282/polymers-13-01034-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/5311d017d36f/polymers-13-01034-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/ded232389c12/polymers-13-01034-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/ec24cff3dda3/polymers-13-01034-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/8dbc33191eb7/polymers-13-01034-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/40dba501a5c5/polymers-13-01034-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/141c382cd59d/polymers-13-01034-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/caa6056d5fe8/polymers-13-01034-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/cc34907e601f/polymers-13-01034-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/8e5522128d3e/polymers-13-01034-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/fa387ec481ee/polymers-13-01034-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ab/8036337/573fe1df72a2/polymers-13-01034-g012.jpg

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