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AuthorPonnamma, Deepalekshmi
AuthorVarughese, Konnanilkunnathil Thomas
AuthorAl-Maadeed, Mariam Al Ali
AuthorThomas, Sabu
Available date2020-09-20T08:35:36Z
Publication Date2017
Publication NamePolymer International
ResourceScopus
ISSN9598103
URIhttp://dx.doi.org/10.1002/pi.5341
URIhttp://hdl.handle.net/10576/16163
AbstractElectrically and thermally conductive polymer composites offer great possibilities in various electronic fields because of their low weight and ease of processing. This paper addresses the curing behaviour and network properties of conducting multi-walled carbon nanotube (MWCNT)-reinforced natural rubber (NR) nanocomposites, emphasizing the sensing and diffusion performances. NR/MWCNT composites were prepared following a special master batch technique which allows the appropriate distribution of nanotubes within the elastomer. The sensing responses of the composites towards solvents were observed as variations in electrical resistance. Thermal resistance and glass transition behaviour were examined and correlated with the swelling measurements as evidence for solvent sensing. An optimum level of 3 phr of MWCNTs is understood to lead to the best properties for the NR/MWCNT composites. Finally, the structural morphology and interfacial interactions were found to have correlations with cure reactions, glass transition temperatures and sensing responses of all compositions.
SponsorThis work has been supported by the University Grants Commission-Department of Atomic Energy (UGC-DAE) Consortium for Scientific Research (project no. CRS-K-01/16), Government of India. The authors are also grateful to NPRP grant 6-282-2-119 from the Qatar National Research Fund (QNRF, a member of Qatar Foundation).
Languageen
PublisherJohn Wiley and Sons Ltd
Subjectcuring
filler networks
nanotubes
rubber
solvent sensing
TitleCuring enhancement and network effects in multi-walled carbon nanotube-filled vulcanized natural rubber: evidence for solvent sensing
TypeArticle
Pagination931-938
Issue Number6
Volume Number66
dc.accessType Open Access


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