4.7 Article

Preparation of stable TiO2-Graphene/Water hybrid nanofluids and development of a new correlation for thermal conductivity

Journal

POWDER TECHNOLOGY
Volume 385, Issue -, Pages 466-477

Publisher

ELSEVIER
DOI: 10.1016/j.powtec.2021.03.010

Keywords

Hybrid nanofluids; TiO2-Graphene/water; Thermal conductivity; Correlation

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The study investigated the thermal conductivity coefficient variation of TiO2-Graphene/Water hybrid nanofluid, showing that an increase in temperature and volume fraction enhances thermal conductivity. The effect of volume fraction on thermal conductivity was found to be larger than the effect of temperature, particularly at higher temperatures. A model was proposed to predict the thermal conductivity of nanofluids with a small margin of error, indicating good compatibility with experimental data.
The current study investigated the variation of the thermal conductivity coefficient of TiO2-Graphene/Water hy-brid nanofluid. Hybrid nanofluids were tested at different temperatures (25 to 75 degrees C) and different volume frac-tions (0.005 to 0.5%). The dispersion and stability of nanofluids were investigated by employing the dynamic light scattering and Zeta Potential techniques. Measurements of the thermal conductivity coefficient showed that in-crease in temperature and volume fraction results in enhancement of thermal conductivity of nanofluids. The re-sults indicated that enhancement of thermal conductivity with increase of solid volume fraction is more pronounced at higher temperatures. However, the effect of increase in volume fraction on thermal conductivity was larger than the effect of temperature. Thermal conductivity at volume fraction of 0.5% and temperature of 75 degrees C was increased by 27.84% compared to the base fluid. Finally, a model was proposed for predicting the ther-mal conductivity of nanofluids based on the measured data. According to the results, this model has a margin of error of 1.44%, indicating that the results obtained from model calculations are compatible with experimental data. (C) 2021 Elsevier B.V. All rights reserved.

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