The Classical Nature of Thermal Conduction in Nanofluids

By Jacob Eapen, R. Rusconi, R. Piazza, Sidney Yip. 2008

260 citations recorded by the source corpus.

We show that a large set of nanofluid thermal conductivity data falls within the upper and lower Maxwell bounds for homogeneous systems. This indicates that the thermal conductivity of nanofluids is largely dependent on whether the nanoparticles stay dispersed in the base fluid, form large aggregates, or assume a percolating,fractal confguration. The experimental data, which are strikingly analogous to those in most solid composites and liquid mixtures, provide strong evidence for the classical nature of thermal conduction in nanofluids.

Subfields: Biomedical Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/772b3888524737a3e301b15398a44fe92b210921

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In Biomedical Engineering

In Mechanical Engineering

Citations in the corpus

Thermal conductivity and specific heat capacity measurements of CuO nanofluids (2013, unknown): “It can be concluded that the experimental thermal conductivities of the nanofluids studied in this work can be properly justified using a simple classical model and that no anomalous enhancement of thermal conductivity was observed [37, 61, 70].”
Recent developments on fractal-based approaches to nanofluids and nanoparticle aggregation (2017, background): “1 On one hand, a large amount of works reported that the effective thermal conductivity 2 of liquids with suspension of nanoparticles are anomalously larger than that of 3 conventionally nanoparticle free heat transfer fluids [12-18].”
Thermal conductivity and specific heat capacity measurements of Al2O3 nanofluids (2012, background): “It can be concluded that the experimental thermal conductivities of the nanofluids studied in this work can be properly justified using a simple classical model and that no anomalous enhancement of thermal conductivity was observed [43, 54, 55].”