International Journal of Research and Innovation in Applied Science (IJRIAS)
Application of Quasi-Lattice Models for Predicting the Temperature Dependence of Thermodynamic Properties in Liquid Binary Alloys
Published February 28, 2026 • Vol. 11, Issue 2, pp. 329–331Open Access
DOI: 10.51584/IJRIAS.2026.110200029
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.
Keywords: quasi-lattice model, thermodynamic properties, alloy
| Journal | International Journal of Research and Innovation in Applied Science (IJRIAS) |
|---|---|
| ISSN | 2454-6194 |
| Volume / Issue | Volume 11, Issue 2 |
| Pages | 329–331 |
| Publication date | February 28, 2026 |
| DOI | 10.51584/IJRIAS.2026.110200029 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Dr. Anjani Bhartiam, & Dr. Arvind Kumar Sah (2026). Application of Quasi-Lattice Models for Predicting the Temperature Dependence of Thermodynamic Properties in Liquid Binary Alloys. International Journal of Research and Innovation in Applied Science (IJRIAS), 11(2), 329-331. https://doi.org/10.51584/IJRIAS.2026.110200029
BibTeX
@article{Dr2026,
title = {Application of Quasi-Lattice Models for Predicting the Temperature Dependence of Thermodynamic Properties in Liquid Binary Alloys},
author = {Dr. Anjani Bhartiam and Dr. Arvind Kumar Sah},
journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
volume = {11},
number = {2},
pages = {329--331},
year = {2026},
doi = {10.51584/IJRIAS.2026.110200029},
publisher = {RSIS International}
}