Análise de modelos de predição de viscosidade para óleos lubrificantes
Abstract
Models that estimate the resulting viscosity of blending fluids have been studied for
centuries and were the object of study in this work. To work with the combination of
fluids, mineral base oils, synthetic base oils, a viscosity index improving additive and
fourteen lubricating oils were used, seven of which were of mineral origin and the other
seven were of synthetic origin. The method used was divided into two stages, the first
of them was the addition of the additive to the lubricants, in seven concentrations that
varied between 0.5% and 9.5% m/m. After that, the density, dynamic and kinematic
viscosity were measured, all of them at 100 °C, and these experimental values were
compared with the theoretical values calculated for thirteen different viscosity blending
models. Then, the mean absolute error, the root mean square error and the mean
absolute percentage error were calculated to verify the model with the best
performance. The second stage is similar to the first, but this time, instead of adding
the additive, synthetic base oils were added to synthetic lubricants and mineral base
oils were added to mineral lubricants. After carrying out measurements and
calculations, it was found that there was no model with better performance than
another when adding base oils to lubricants, due to the high deviation values found.
However, the Arrhenius, Power law and Grunberg-Nissan models were the best in
predicting viscosity when viscosity index improving additives were added to lubricating
oils.
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