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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

byDr. Anjani Bhartiam; Dr. Arvind Kumar Sah

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

JournalInternational Journal of Research and Innovation in Applied Science (IJRIAS)
ISSN2454-6194
Volume / IssueVolume 11, Issue 2
Pages329–331
Publication dateFebruary 28, 2026
DOI10.51584/IJRIAS.2026.110200029
PublisherRSIS International
LicenseOpen 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}
}