4.4 Article

Experimental determination of thermophysical properties and figures-of-merit analysis of 80:20% water and ionic liquid mixture based MXene nanofluid

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SAGE PUBLICATIONS LTD
DOI: 10.1177/09544062221148587

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Ionanofluids; turbulent flow; thermophysical properties; figures-of-merit

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Novel MXene materials were dispersed into a mixture of ionic liquid [MMIM][DMP] and water to create ionanofluids. The thermophysical properties of the ionanofluids were experimentally studied at different particle weight loadings and temperatures. Three models were used to analyze the figures-of-merit of the ionanofluids under turbulent flow conditions. Results showed that the thermal conductivity of the ionanofluid at 1.0 wt% increased by 56.62% at 60 degrees C, and the dynamic viscosity increased by 17.66% at 20 degrees C. The obtained thermophysical properties were fitted into regression equations, and the figures-of-merit of the ionanofluids were found to be greater than 1, indicating their effectiveness as heat transfer fluids.
Novel material of MXene was synthesized and prepared their ionanofluids while dispersing them into 20:80% (by mass) of ionic liquid of 1,3-Dimethylimidazolium dimethyl phosphate [MMIM][DMP] and water mixture. The thermophysical properties were studied experimentally at different particle weight loadings from 0.2% to 1.0% and at different temperatures over 20 degrees C to 60 degrees C. By utilizing the evaluated thermophysical properties of ionanofluids their figures-of-merit were analyzed by using three models under turbulent flow conditions. It is understood from the results, the thermal conductivity of 1.0 wt% of ionanofluid is enhanced about 56.62% at a temperature of 60 degrees C; whereas, the dynamic viscosity is enhanced to 17.66% at 20 degrees C compared to base fluid alone. Moreover the density of ionanofluid is raised and specific heat ionanofluid is lowered with rise of particle weight concentrations. The obtained thermophysical properties were fitted into regression equations based on the multi-linear regression method. The evaluated three models figures-of-merit show all the prepared ionanofluids in the measured weight concentrations and temperatures are beneficial heat transfer fluids because their value is greater than 1.

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