A Modeling Framework for Predicting and Correlating Viscosities of Liquids in Wide Range of Conditions

This communication reports a modeling framework for estimating viscosities in a wide range of conditions that couples the critical point-based revised perturbed chain statistical association fluid theory equation of state (CP-PC-SAFT EoS) and the modified Yarranton-Satyro correlation (MYS), yet is generalized by SAFT molecular parameters. The proposed approach requires as an input just critical constants and the triple point liquid densities, while the same triplet of MYS parameters can predict viscosities of wide variety of compounds including n-alkanes (from methane and until n-octadecane), various aromatic and nonaromatic hydrocarbons, and oxygenated organic substances. In addition, it can yield particularly accurate predictions for saturated and single-phase viscosities of asymmetric mixtures. Consequently, this modeling framework is characterized by an enhanced predictive character.