Literature DB >> 24972295

Graphene encapsulated rubber latex composites with high dielectric constant, low dielectric loss and low percolation threshold.

Ming Tian1, Jing Zhang2, Liqun Zhang1, Suting Liu2, Xiaoqing Zan2, Toshio Nishi3, Nanying Ning4.   

Abstract

A dielectric composite with high dielectric constant, low dielectric loss and low percolation threshold was prepared by using the combined strategy of encapsulating of graphene oxide nanosheets (GONS) on carboxylated nitrile rubber (XNBR) latex particles and the in situ thermal reduction in GONS at a moderate temperature. The encapsulation of GONS on XNBR latex particles was mainly realized via the hydrogen bonding interactions between GONS and XNBR during latex mixing. A segregated graphene network was obtained at a low content of thermally reduced graphene (TRG), resulting in a low percolation threshold (0.25 vol.%). The dielectric constant at 100 Hz obviously increased from 23 for pure XNBR to 2211 and 5542 for the composite with 0.5 vol.% and 0.75 vol.% of TRG, respectively. The dielectric loss of the composites retained at a low value (less than 1.5). Meanwhile, the elastic modulus only slightly increased with the presence of 0.1-0.5 vol.% of TRG, keeping the good flexibility of the dielectric composites. This study provides a simple, low-cost and effective method to prepare high performance dielectric composites, facilitating the wide application of dielectric materials.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Dielectric properties; Graphene; Latex mixing; Percolation threshold

Year:  2014        PMID: 24972295     DOI: 10.1016/j.jcis.2014.05.034

Source DB:  PubMed          Journal:  J Colloid Interface Sci        ISSN: 0021-9797            Impact factor:   8.128


  2 in total

1.  Preparation of graphene/polypropylene composites with high dielectric constant and low dielectric loss via constructing a segregated graphene network.

Authors:  Lijing Han; Hairui Wang; Qi Tang; Xiurui Lang; Xuemeng Wang; Yingxia Zong; Chengzhong Zong
Journal:  RSC Adv       Date:  2021-11-29       Impact factor: 3.361

2.  Shape-Memory Composites Based on Ionic Elastomers.

Authors:  Antonio González-Jiménez; Pilar Bernal-Ortega; Fernando M Salamanca; Juan L Valentin
Journal:  Polymers (Basel)       Date:  2022-03-18       Impact factor: 4.329

  2 in total

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