Rheological behavior characteristics of ZrO2-MWCNT/10w40 hybrid nano-lubricant affected by temperature, concentration, and shear rate: An experimental study and a neural network simulating

摘要

In this study, the ZrO2-MWCNT (70%-30%)/10w40 hybrid Nano-lubricant was experimentally evaluated in terms of rheological changes. ZrO2 (40 nm) and MWCNTs nanoparticles with an inner diameter of 3-5 nm were used to prepare the Nano-lubricant. Particles were weighted for solid volume fractions of 0.05%, 0.1%, 0.25%, 0.5%, 0.75%, and 1% and the nano-lubricant was prepared. Then, the viscosity of Nano-lubricants was measured at different shear rates between 5 and 55 degrees C. The results showed that the pure oil was non-Newtonian and the nanolubricant was pseudoplastic. Calculation and checking the power law and consistency coefficients showed that the increase in temperature intensifies the non-Newtonian behavior. Based on the results, at temperature of 55 degrees C and a volume fraction of 1% condition, maximum of dynamic viscosity enhancement (DVE) was reported. Based on experimental data, a new correlation was proposed at different temperatures and the solid volume fraction, and the sensitivity of nano-lubricant was measured. An Artificial Neural Network (ANN) with two hidden layers and six neurons was designed to predict the viscosity. R-2, MSE, and AARD values were obtained as much as 0.9905, 7.0631e-05, and 0.0051 ANN, respectively. Comparison of experimental data with new correlations and ANN showed that the performance of neural network was better in predicting the viscosity data.