Corresponding States Method for Determination of the Viscosity of Gases at Atmospheric Pressure

The accuracy and predictability of empirical/semiempirical
correlations for evaluation of the physicochemical properties of chemical
compounds are of much interest in chemical industry. In this study,
our objective is applying the Gene Expression Programming
(GEP) mathematical algorithm to propose a correlation based on the
corresponding states method to calculate/estimate the gas viscosity
of about 1600 chemical compounds (mostly organic) from 81 chemical
families at different temperatures and atmospheric pressure. The parameters
of the correlation include the temperature, critical temperature,
critical pressure, and molecular weight. Around 13 000 experimental
gas viscosity data are randomly selected for developing the correlation,
and about 8500 data are treated for checking its prediction capability.
The obtained statistical parameters including average absolute relative
deviations (AARD %) of the results from the experimental data (about
7%) indicate the accuracy and applicability of the presented
correlation along with its simplicity compared with the most widely
used corresponding states method (with AARD of about 9%) available
in open literature.