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A Short Overview on Graphene-Based Nanofluids

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Abstract

In this short review, the nanofluids based on graphene and graphene derivatives are discussed in terms of thermophysical properties. Regular heat transfer fluids as water, ethylene glycol, mixtures of those two as well as oils, ionic liquids, or other glycols are widely used in most of the cooling and heating applications. Nevertheless, nanoparticle-enhanced fluids are coming to the forefront of industrial applications, but the research is still ongoing in order to propose a better and viable alternative, with higher convection coefficients. On the other hand, carbon-based materials have a very high thermal conductivity and are the best candidates for a higher conductive new fluid. This particular overview implies the use of graphene and its derivatives (graphene nanoplatelets, graphene oxide, reduced graphene oxide etc.) as a base for nanofluids development. As a conclusion, thermal conductivity is increased up to 30 % for low nanoparticle loading, while the main drawback is the large increase in viscosity. Specific heat and density are not methodically studied and this is a disadvantage. Another observation derived from state of the art review is that coordinated studies are not noticed.

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Abbreviations

CNT:

Carbon nanotubes

DIW:

Deionized water

EG:

Ethylene glycol

FLG:

Few-layer graphene

G:

Graphene

GNP:

Graphene nanoplatelets

GNS:

Graphene nanosheets

GO:

Graphene oxide

GQD:

Graphene quantum dots

MLG:

Multi-layer graphene

MWCNT:

Multiwall carbon nanotubes

NF:

Nanofluids

NP:

Nanoparticles

PEG:

Polyethylene glycol

rGO:

Reduced graphene oxide

SLG:

Single-layer graphene

SWCNT:

Singlewall carbon nanotubes

W:

Water

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  1. Technical University “Gheorghe Asachi” of Iasi, Iasi, Romania

    Alina Adriana Minea & Liviu Zupcu

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  1. Alina Adriana Minea
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AAM and LZ wrote the main manuscript text and prepared figures. All authors reviewed the manuscript.

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Minea, A.A., Zupcu, L. A Short Overview on Graphene-Based Nanofluids. Int J Thermophys 43, 161 (2022). https://doi.org/10.1007/s10765-022-03093-y

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