4.8 Article

Characterization of graphene-rubber nanocomposites: a review

Journal

MATERIALS TODAY CHEMISTRY
Volume 29, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.mtchem.2023.101397

Keywords

Graphene; Graphene oxide; Nanoparticle; Nanocomposite; Elastomer; Rubber

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Since its discovery in 2004, graphene has attracted significant attention for its unique properties and its potential for producing novel polymer composites with environmental and economic benefits. This review focuses on the practical testing of graphene and its elastomeric nanocomposites, highlighting the importance of factors such as layer thickness, oxygen content, and nanoparticle distribution for achieving strong reinforcement. X-ray diffraction spectroscopy, Raman spectroscopy, transmission electron microscopy, and energy dispersive spectroscopy are all valuable tools for characterizing these materials.
Since its discovery in 2004, graphene has gained significant attention from both industry and academia. Its unique properties enable us to produce novel, enhanced polymer composites contributing to envi-ronmental and economic benefits. Graphene can improve the abrasion resistance of materials; thus, it can increase the service life of rubber tires. This present review discusses the testing of key properties of graphene and its elastomeric nanocomposites from a practical point of view. Graphene's layer thickness and its oxygen content are two key factors determining nano reinforcement's success. It is vital to monitor these properties both before and after mixing graphene with rubber to guarantee the high quality of the resulting nanocomposites. Ultimately, the distribution of nanoparticles within the matrix also plays a vital role in assuring strong reinforcement. Overall, we found that X-ray diffraction (XRD) spectroscopy can detect variation in all three aspects. Furthermore, Raman spectroscopy, transmission electron microscopy (TEM), and energy dispersive spectroscopy (EDS) can be used complementarily to support XRD findings.(c) 2023 Elsevier Ltd. All rights reserved.

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