Estimation ofactivities and excess Gibbs energy of 19 binary liquid
alloys from partial pair distribution functions
Abstract
This work proposes a new method for estimating the excess Gibbs energy
and activity of liquid alloy based on partial pair distribution function
(PPDF). This work utilized the PPDF to calculate the parameters of the
MIVM, RSM, Wilson, and NRTL model. This new method offers simplicity,
numerical calculation stability, and excellent reproducibility. The work
examined the impact of expressing the model parameters as first-order
linear functions of the components or as constants on the accuracy of
the estimation. When the model parameters were treated as constants,
MIVM and RSM provided an average relative deviation (ARD) of activity of
less than ±20% for 15 and 10 alloys. When model parameters were
expressed as a function of components, QCM showed the best estimation
performance, having 9 alloys with an ARD of less than ±20%.