Industrial & Engineering Chemistry Research, Vol.53, No.25, 10475-10484, 2014
Statistical Refinement and Fitting of Experimental Viscosity-to-Temperature Data in Ionic Liquids
The viscosity-to-temperature experimental data available in the open literature sources for 134 ionic liquids (ILs) was refined using a statistical procedure based on the confidence bands formalism. 1860 data points of 143 different references, among more than 2600 raw data points found in literature, were processed. As a result, 2196 of the data set was rejected. The refined viscosity-to-temperature experimental data were successfully fitted to the eta = f(T) Arrhenius-type equation with an R-2 correlation coefficient higher than 0.99 in all cases. Parameters A and B of the Arrhenius function for 134 ILs were given for the accurate estimation of viscosity in potential uses and compared to A and B parameters for 134 organic solvents. It was found that the obtained A and B values correlate linearly for the wide sample of 134 ionic liquids. As a consequence, it is concluded that ionic liquids having high viscosities at relatively low temperatures also exhibit an abrupt decay of the viscosity with the temperature. This A-B Arrhenius' parameter relationship was also found in organic solvents, obtaining a regression line with a nearly identical slope but different intercept than that in the case of Its. It indicated similar temperature dependence in the viscosity of ILs and organic compounds, but a differential higher viscosity of ionic fluids. In addition, it is observed that, for temperatures over 330-373 K, the viscosities of most ILs studied here are moderate, providing a potential range to manage this kind of solvent in practical applications with less transport property limitations.