A Novel Correlation for Predicting the Dynamic Viscosity of Nanofluids based on MWCNTs

This study conducted a numerical and experimental investigation on the comparison of known empirical correlations to determine the dynamic viscosity of nanofluids with the dependence on nanoparticle volume concentration and temperature. The models proposed by the researchers were compared to forecast the dynamic viscosity of nanofluids based on MWCNTs (MKN-MWCNT-RG1020) and distilled water as a base fluid with regard to volume concentration. To prepare the nanofluid, MWCNT (MKN-MWCNT-RG1020) nanoparticles with inner (5–10 nm) and outer (10–20 nm) diameters of 10–30 µm are used. As a base fluid solution, distilled water with a volume concentration of MWCNT nanoparticles of 0.05% was used. Tests are carried out to determine the dynamic viscosity of the obtained nanofluid at temperatures ranging from 38 to 78°C. We recommended a novel correlation to predict the dynamic viscosity of nanofluids based on experimental relations and the polynomial regression technique. The R2-value and RMSE were 0.99 and 1.18E-06 mPa s, respectively.

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