New Method Based on the UNIFAC–VISCO Model for the Estimation of Ionic Liquids Viscosity Using the Experimental Data Recommended by Mathematical Gnostics

The viscosity of ionic liquids (ILs)
has been modeled as a function
of temperature and at atmospheric pressure using a new method based
on the UNIFAC–VISCO method. This model extends the calculations
previously reported by our group (see Zhao et al. J. Chem.
Eng. Data 2016, 61, 2160–2169) which
used 154 experimental viscosity data points of 25 ionic liquids for
regression of a set of binary interaction parameters and ion Vogel–Fulcher–Tammann
(VFT) parameters. Discrepancies in the experimental data of the same
IL affect the quality of the correlation and thus the development
of the predictive method. In this work, mathematical gnostics was
used to analyze the experimental data from different sources and recommend
one set of reliable data for each IL. These recommended data (totally
819 data points) for 70 ILs were correlated using this model to obtain
an extended set of binary interaction parameters and ion VFT parameters,
with a regression accuracy of 1.4%. In addition, 966 experimental
viscosity data points for 11 binary mixtures of ILs were collected
from literature to establish this model. All the binary data consist
of 128 training data points used for the optimization of binary interaction
parameters and 838 test data points used for the comparison of the
pure evaluated values. The relative average absolute deviation (RAAD)
for training and test is 2.9% and 3.9%, respectively.