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包含碳纳米管、石墨烯、碳纳米纤维或石墨纳米片杂交网络的环氧基复合材料的机械、电学和压阻传感特性

Mechanical, Electrical, and Piezoresistive Sensing Characteristics of Epoxy-Based Composites Incorporating Hybridized Networks of Carbon Nanotubes, Graphene, Carbon Nanofibers, or Graphite Nanoplatelets.

作者信息

Wang XiaoDong, Wang JianChao, Biswas Swarup, Kim Hyeok, Nam IlWoo

机构信息

College of Civil Engineering, Nanjing Tech University, 30 Puzhu Road(S), Nanjing 211800, China.

School of Electrical and Computer Engineering, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, Korea.

出版信息

Sensors (Basel). 2020 Apr 8;20(7):2094. doi: 10.3390/s20072094.

DOI:10.3390/s20072094
PMID:32276407
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7180708/
Abstract

The present study compared the mechanical, electrical, morphological, and piezoresistive characteristics of epoxy-based sensing nanocomposites fabricated with inclusions of hybridized networks of four different carbon nanomaterials (CNMs), such as carbon nanotube (CNT), graphene, carbon nanofiber (CNF), and graphite nanoplatelet (GNP). Enhancements in elastic modulus and electrical conductivity were achieved by CNT-graphene composites and CNT-CNF composites, and these were explained by the morphological observations carried out in the present study and experimental studies found in the literature. The greatest gauge factor was accomplished by the CNT-GNP composite, followed by the CNT-CNF composite among composites where the CNM networks were sufficiently formed with a content ratio of 3%. The two types of the composites outperformed the composites incorporating solely CNT in terms of gauge factor, and this superiority was explained with the excluded volume theory.

摘要

本研究比较了由四种不同碳纳米材料（CNM）（如碳纳米管（CNT）、石墨烯、碳纳米纤维（CNF）和石墨纳米片（GNP））的杂化网络夹杂物制成的环氧基传感纳米复合材料的力学、电学、形态学和压阻特性。CNT-石墨烯复合材料和CNT-CNF复合材料实现了弹性模量和电导率的提高，本研究进行的形态学观察和文献中的实验研究对其进行了解释。在CNM网络以3%的含量比充分形成的复合材料中，CNT-GNP复合材料实现了最大的应变片系数，其次是CNT-CNF复合材料。就应变片系数而言，这两种复合材料优于仅包含CNT的复合材料，并用排除体积理论解释了这种优越性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/aee1323cf6dd/sensors-20-02094-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/4687f05f1c35/sensors-20-02094-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/d2fef63afe92/sensors-20-02094-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/3ce1251ab14c/sensors-20-02094-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/1b9bae8258de/sensors-20-02094-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/95035ea45aa7/sensors-20-02094-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/77b9ba78d546/sensors-20-02094-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/3b3b1b44b769/sensors-20-02094-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/31e68c452347/sensors-20-02094-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/c939e2660eae/sensors-20-02094-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/aee1323cf6dd/sensors-20-02094-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/4687f05f1c35/sensors-20-02094-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/901b455a53b6/sensors-20-02094-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/d2fef63afe92/sensors-20-02094-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/3ce1251ab14c/sensors-20-02094-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/1b9bae8258de/sensors-20-02094-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/95035ea45aa7/sensors-20-02094-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/77b9ba78d546/sensors-20-02094-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/3b3b1b44b769/sensors-20-02094-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/31e68c452347/sensors-20-02094-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/c939e2660eae/sensors-20-02094-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c5/7180708/aee1323cf6dd/sensors-20-02094-g011.jpg

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