Modeling and Precise Prediction of Thermophysical Attributes of Water/EG Blend-Based CNT Nanofluids by NSGA-II Using ANN and RSM

The effect of different parameters on ability of the proposed correlations for the rheological behavior of SiO2 -MWCNT (90:10)/SAE40 oil-based hybrid nano-lubricant and presenting five new correlations

In this study, after investigating the rheological behavior and viscosity of SiO₂-MWCNT (90:10)/SAE40 oil-based hybrid nano-lubricant, the theory was studied by response surface methodology (RSM). Experimental results show that viscosity enhancement decreases significantly at a concentration of 0.0625% to -9.22% and at a concentration of 1% with + 48.23% the highest increase of viscosity enhancement is observed. But the main purpose of this study is to present the new two- and three-variable correlation relationships and compare them with each other. The effectiveness of the experimental correlation for predicting the viscosity is investigated. According to the results of the RSM method, in the relations of two variables, the presence of an independent variable of temperature with the volume fraction (φ) has a greater effect compared to using the variable of shear rate (SR) along the φ and increases the accuracy of the mathematical relation.