Optimization of Viscosity in MWCNT-MgO (35–65%)/5W50 Nanofluid and Comparison of Experimental Results with the Designed ANN

摘要

This study was on the optimization of the viscosity of MWCNT-MgO (35–65%)/5W50 nanofluid and comparison of experimentalresults with the designed artificial neural network (ANN). The experimental examination was performed at solidvolume fraction (SVF) s of 0.05, 0.1, 0.25, 0.5, 0.75, 1% and the temperature of 5–55 °C. A mathematical relationship wasproposed to predict its viscosity using the RSM method in Design-Expert software. The viscosity of this nanofluid was alsooptimized concerning temperature, SVF, and shear rate (SR). A point with a specification of T = 54.45 (°C), SVF = 0.06%,and SR = 11,899.24 (1/s) had an optimum viscosity of 39.0754 mPa s. Specification parameters of the ANN model werereported in this study as well. The results of the proposed mathematical correlation could not accurately predict, as well asthe ANN and the predictions provided by ANN were more accurate.