Prediction of the thermal conductivity of ionic liquid-based nanofluids using a modified Hamilton–Crosser model

Subject Areas : Modeling

Maryam Bahadori ^{1 *} , Fatemeh Afshar ²

1 - Department of chemistry, Marv.C., Islamic Azad University, Marvdasht, Iran.
2 - Department of chemistry, Marv.C., Islamic Azad University, Marvdasht, Iran.

Received: 2025-08-25 Accepted : 2025-09-19 Published : 2025-09-14

Keywords: Nanofluid, Ionic liquid, Thermal conductivity, Hamilton-Crosser model. ,

Abstract :

Experimental data have demonstrated that in ionic liquid–based nanofluids, the thermal conductivity is typically enhanced in the range of 5% to 55% compared with that of the pure ionic liquid. In the present study, some nanofluids containing ionic liquids as base fluids were selected to investigate their thermal conductivity. It was shown that the classical Hamilton-Crosser model, which has often been employed to predict thermal conductivity in conventional suspensions, fails to provide accurate predictions for these particular systems. To reduce this limitation, modifications were introduced to the Hamilton-Crosser equation. The most important parameters involved in this corrective term are the thermal conductivity of the nanoparticles, temperature, and an empirical correction factor. This correction factor is experimentally determined and its value depends strongly on the type of ionic liquid as well as the type of nanoparticles. With these modifications, the accuracy of the predicted data was significantly improved. The refined model enables reliable prediction of the thermal conductivity of ionic liquid–based nanofluids over a wide range of temperatures and concentrations.

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