Simulating of effective conductivity for grapheme-polymer nanocomposites.

Autor: Vatani M; Department of Chemical Engineering, Faculty of Engineering, University of Kashan, P.O. Box 87317-53153, Kashan, Iran., Zare Y; Biomaterials and Tissue Engineering Research Group, Department of Interdisciplinary Technologies, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran. y.zare@aut.ac.ir., Gharib N; College of Engineering and Technology, American University of the Middle East, Egaila, 54200, Kuwait., Rhee KY; Department of Mechanical Engineering (BK21 Four), College of Engineering, Kyung Hee University, Yongin, Republic of Korea. rheeky@khu.ac.kr., Park SJ; Department of Chemistry, Inha University, Incheon, 22212, Republic of Korea. sjpark@inha.ac.kr.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2023 Apr 11; Vol. 13 (1), pp. 5907. Date of Electronic Publication: 2023 Apr 11.
DOI: 10.1038/s41598-023-32991-w
Abstrakt: The efficient conductivity of graphene-polymer systems is expressed supposing graphene, tunneling and interphase components. The volume shares and inherent resistances of the mentioned components are used to define the efficient conductivity. Besides, the percolation start and the share of graphene and interphase pieces in the nets are formulated by simple equations. Also, the resistances of tunneling and interphase parts are correlated to graphene conductivity and their specifications. Suitable arrangements among experimented data and model's estimates as well as the proper trends between efficient conductivity and model's parameters validate the correctness of the novel model. The calculations disclose that the efficient conductivity improves by low percolation level, dense interphase, short tunnel, large tunneling pieces and poor polymer tunnel resistivity. Furthermore, only the tunneling resistance can govern the electron transportation between nanosheets and efficient conductivity, while the big amounts of graphene and interphase conductivity cannot play a role in the efficient conductivity.
(© 2023. The Author(s).)
Databáze: MEDLINE
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