A review on graphene based nanofluids: preparation, characterization and applications

Arshad, Adeel; Jabbal, Mark; Yan, Yuying; Reay, David

Abstract

A wide range of heat transfer systems require efficient heat transfer management from source to sink and vice versa. Over the last decade, graphene nanoparticles, matrix nanofluids have been one of the most investigated nanoparticles for a wide range of engineering applications. Graphene–based nanoparticles have several advantages over other nanoparticles: high stability, high thermal conductivity, low erosion and corrosion, and higher carrier mobility. Graphene–based nanofluids have found applications such as heat transfer, defect sensor, anti–infection therapy, energy harvesting systems, biomedical and cosmetics. With advancement of technology, more compact and efficient cooling media are needed to ensure efficiency and reliability of engineering systems and devices. This research study reports an overview of experimental and numerical investigations of graphene nanometer–sized particles with different base host fluids for major engineering applications of energy transfer systems and further thermophysical properties of graphene nanofluids.

Citation

Arshad, A., Jabbal, M., Yan, Y., & Reay, D. (2019). A review on graphene based nanofluids: preparation, characterization and applications. Journal of Molecular Liquids, 279, 444-484. https://doi.org/10.1016/j.molliq.2019.01.153

• Journal Article Type: Article
• Acceptance Date: Jan 28, 2019
• Online Publication Date: Feb 1, 2019
• Publication Date: Apr 1, 2019
• Deposit Date: Feb 19, 2019
• Publicly Available Date: Feb 19, 2019
• Journal: Journal of Molecular Liquids
• Print ISSN: 0167-7322
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 279
• Pages: 444-484
• DOI: https://doi.org/10.1016/j.molliq.2019.01.153
• Keywords: Physical and Theoretical Chemistry; Spectroscopy; Materials Chemistry; Atomic and Molecular Physics, and Optics; Electronic, Optical and Magnetic Materials; Condensed Matter Physics
• Public URL: https://nottingham-repository.worktribe.com/output/1568445
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0167732218350207?via%3Dihub