Boothroyd, Stephen C. and Johnson, David W. and Weir, Michael P. and Reynolds, Carl D. and Hart, James M. and Smith, Andrew J. and Clarke, Nigel and Thompson, Richard L. and Coleman, Karl S. (2018) 'Controlled structure evolution of graphene networks in polymer composites.', Chemistry of materials., 30 (5). pp. 1524-1531.
Abstract
Exploiting graphene’s exceptional physical properties in polymer composites is a significant challenge because of the difficulty in controlling the graphene conformation and dispersion. Reliable processing of graphene polymer composites with uniform and consistent properties can therefore be difficult to achieve. We demonstrate distinctive regimes in morphology and nanocomposite properties, achievable through systematic control of shear rate and shear history. Remarkable changes in electrical impedance unique to composites of graphene nanoplates (GNPs) are observed. Low shear rates ≤ 0.1 s-1 break up the typical GNP agglomerates found in graphene composites, exfoliate the GNPs to fewer graphene layers and reduce orientation, enhancing electrical conductivi-ty in the composite materials. Whereas, at higher shear rates GNP orientation increases and the conductivity reduces by four orders of magnitude, as the graphene filler network is broken down. The structure of the composite continues to evolve, reflected in fur-ther changes in conductivity, after the shear force has been removed and the process temperature maintained. This work provides critical insights for understanding and controlling GNP orientation and dispersion within composites and will have important consequences in the industrial processing of graphene polymer composites via the informed design and choice of processing conditions.
Item Type: | Article |
---|---|
Full text: | (AM) Accepted Manuscript Download PDF (905Kb) |
Full text: | (VoR) Version of Record Available under License - Creative Commons Attribution. Download PDF (Advance online version) (2731Kb) |
Full text: | (VoR) Version of Record Available under License - Creative Commons Attribution. Download PDF (Final published version) (2732Kb) |
Status: | Peer-reviewed |
Publisher Web site: | https://doi.org/10.1021/acs.chemmater.7b04343 |
Publisher statement: | ACS AuthorChoice - This is an open access article published under a Creative Commons Attribution (CC-BY) License, which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
Date accepted: | 14 February 2018 |
Date deposited: | 16 February 2018 |
Date of first online publication: | 14 February 2018 |
Date first made open access: | 01 March 2018 |
Save or Share this output
Export: | |
Look up in GoogleScholar |