In
this work, a broadly applicable and simple approach for building
high accuracy viscosity correlations is demonstrated for propane.
The approach is based on the combination of a number of recent insights
related to the use of residual entropy scaling, especially a new way
of scaling the viscosity for consistency with the dilute-gas limit.
With three adjustable parameters in the dense phase, the primary viscosity
data for propane are predicted with a mean absolute relative deviation
of 1.38%, and 95% of the primary data are predicted within a relative
error band of less than 5%. The dimensionality of the dense-phase
contribution is reduced from the conventional two-dimensional approach
(temperature and density) to a one-dimensional correlation with residual
entropy as the independent variable. The simplicity of the model formulation
ensures smooth extrapolation behavior (barring errors in the equation
of state itself). The approach proposed here should be applicable
to a wide range of chemical species. The Supporting Information includes
the relevant data in tabular form and a Python implementation of the
model.