Application of Quasi-Lattice Models for Predicting the Temperature Dependence of Thermodynamic Properties in Liquid Binary Alloys

Abstract

This study applies the quasi-lattice model (QLM) incorporating temperature- and composition-dependent parameters to predict the thermodynamic properties of liquid binary alloys. By focusing on key alloys such as Cu-Pb and In-Tl, the model effectively captures temperature-induced variations in free energy, entropy, heat of mixing, and concentration fluctuations. Validation against experimental data demonstrates the model’s capability to describe non-ideal mixing and phase stability, offering valuable insights for alloy design and processing optimization.