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  5. Advances in the Tribological Performance of Graphene Oxide and Its Composites

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Article
en
2025

Advances in the Tribological Performance of Graphene Oxide and Its Composites

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en
2025
Vol 18 (15)
Vol. 18
DOI: 10.3390/ma18153587

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Pradeep L Menezes
Pradeep L Menezes

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Mayur B. Wakchaure
Pradeep L Menezes

Abstract

Graphene oxide (GO), a derivative of graphene, has attracted significant attention in tribological applications due to its unique structural, mechanical, and chemical properties. This review highlights the influence of GO and its composites on friction and wear performance across various engineering systems. The paper explores GO’s key properties, such as its high surface area, layered morphology, and abundant functional groups. These features contribute to reduced shear resistance, tribofilm formation, and improved load-bearing capacity. A detailed analysis of GO-based composites, including polymer, metal, and ceramic matrices, reveals those small additions of GO (typically 0.1–2 wt%) result in substantial reductions in coefficient of friction and wear rate, with improvements ranging between 30–70%, depending on the application. The tribological mechanisms, including self-lubrication, dispersion, thermal stability, and interface interactions, are discussed to provide insights into performance enhancement. Furthermore, the effects of electrochemical environment, functional group modifications, and external loading conditions on GO’s tribological behavior are examined. Despite these advantages, challenges such as scalability, agglomeration, and material compatibility persist. Overall, the paper demonstrates that GO is a promising additive for advanced tribological systems, while also identifying key limitations and future research directions.

How to cite this publication

Mayur B. Wakchaure, Pradeep L Menezes (2025). Advances in the Tribological Performance of Graphene Oxide and Its Composites. , 18(15), DOI: https://doi.org/10.3390/ma18153587.

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Publication Details

Type

Article

Year

2025

Authors

2

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3390/ma18153587

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