Comparing the modeling functions of hybrid nano-lubricant containing CuO and MWCNTs with standard quality measurement criteria to introduce the most optimal correlation function

Abstract

One of the important properties of fluids is viscosity. In this research, the viscosity modeling of nano-lubricant (NLB) was done using RSM. Using the response surface methodology (RSM), several models including Cubic, Quartic, 2FI and Quadratic, models were designed and the relevant statistical parameters were presented. The selected model after checking the evaluation parameters R-squared, Adjusted R2, Predicted R2 and Std. Dev. is selected and the values are equal to the values of 0.9993, 0.9992, 0.9989 and 4.62, respectively. Statistical charts including residual values, normal distribution, Box-Cox and predicted values in terms of real values also introduce the best model. The trend of viscosity changes of the selected model was evaluated according to the basic parameters T, solid volume fraction and shear rate , and the temperature parameter was introduced as the most influential parameter.

Keywords

• RSM
• Viscosity
• R-squared, Quartic
• Oil 10W40
• Predicted R2