Abstract In the current paper, the rheological behavior of MWCNTs-TiO2/EG hybrid nanofluid was examined. The well-known two-step method was employed to scatter the nano-powder into the ethylene glycol (EG). The dispersed nano-powder consisted of 80 Vol% of TiO2 and 20 Vol% of MWCNTs. The viscosity measurements were performed at the temperatures ranging from 25 to 55 °C and various solid volume fractions of 0.05, 0.1, 0.125, 0.25, 0.5, 0.75, and 1%. Experimental results showed that the addition of nano-powder to EG does not alter its Newtonian behavior. Besides, it was found that the viscosity of the prepared sample was directly related to the temperature and solid volume fractions of nano-powder. The dynamic viscosity of samples enhanced by growing the solid nanoparticles volume fraction and decreasing the temperature. The dynamic viscosity increase for the nanofluid containing 1 Vol% of nanoparticles was recorded to be 194% and 323% at the temperatures of 25 and 50 °C, respectively. Therefore, at greater temperatures, the effect of nanoparticles on the viscosity became more pronounced. Additionally, Adaptive Neuro Fuzzy Inference System (ANFIS) and Support Vector Machine (SVM) methodologies were applied to estimate the nanofluid viscosity. Based on the error calculations, both techniques can forecast the rheological behavior of MWCNTs-TiO2/EG nanofluids with high accuracy. However, the accuracy of the ANFIS method outperforms the SVM approach.
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