Predicting the electrical conductivity in polymer carbon nanotube nanocomposites based on the volume fractions and resistances of the nanoparticle, interphase, and tunneling regions in conductive networks-Reference-Cited by-同舟云学术

Predicting the electrical conductivity in polymer carbon nanotube nanocomposites based on the volume fractions and resistances of the nanoparticle, interphase, and tunneling regions in conductive networks

Published:2018 Issue:34 Volume:8 Page:19001-19010
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Liu Zhenling¹²³⁴,Peng Wanxi¹²³⁴,Zare Yasser⁵⁶⁷⁸⁹^ORCID,Hui David¹⁰¹¹¹²,Rhee Kyong Yop¹⁰¹³¹⁴¹⁵¹⁶

Affiliation:

1. School of Forestry

2. Henan Agricultural University

3. Zhengzhou

4. China

5. Young Researchers and Elites Club

6. Science and Research Branch

7. Islamic Azad University

8. Tehran

9. Iran

10. Department of Mechanical Engineering

11. University of New Orleans

12. USA

13. College of Engineering

14. Kyung Hee University

15. Yongin 446-701

16. Republic of Korea

Abstract

Some limited models have been suggested to determine the conductivity of polymer carbon nanotube (CNT) nanocomposites (PCNTs).

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2018/RA/C8RA00811F

Reference50 articles.

1. Strong, flexible and thermal-resistant CNT/polyarylacetylene nanocomposite films

2. Autonomous self-healing multiwalled carbon nanotube nanocomposites with piezoresistive effect

3. Electromagnetic wave absorption properties of ternary poly(vinylidene fluoride)/magnetite nanocomposites with carbon nanotubes and graphene

4. Tailoring in vitro biological and mechanical properties of polyvinyl alcohol reinforced with threshold carbon nanotube concentration for improved cellular response

5. Chitosan nanocomposite films: Enhanced electrical conductivity, thermal stability, and mechanical properties

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