An applicable study on the thermal conductivity of SWCNT-MgO hybrid nanofluid and price-performance analysis for energy management

Abstract The present study deals with the measurement of thermal conductivity of SWCNTs-MgO/EG hybrid nanofluids and the modeling of experimental data using artificial neural network (ANN). Hybrid nanofluids are produced and tested at volume fraction of 0.05–2% and temperature range from 30 to 50 °C. The nanofluid’s obtained data has been compared with experimental outcomes of single particle nanofluids of MgO and SWCNT in base fluid of Ethylene Glycol. A sensitivity analysis is done as a measure of variable changing effects on alterations gradient of the objective function. The analysis shows that the alterations gradient of thermal conductivity increases with the rise of volume fraction of up to 1%, and then, the sensitivity decreases. Generally, the current study is a combination of empirical studies along with the artificial neural network, sensitivity analysis, and proposing an empirical correlation for detailed understanding of the thermal behavior in SWCNT-MgO (20–80%)-EG hybrid nanofluids.

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