An Overview of Statistical Thermodynamic Consideration of Binary Mixtures Composed of Molecular Fluids: A Special Instance to The Heats of Mixing of Binary Mixtures of Organic Fluids Over The Whole Composition Range With Graphical Representation

Authors

  • Naba Kumar Ghosh Assistant Professor, Department of Chemistry, Jangipur College, Murshidabad, West Bengal, India

DOI:

https://doi.org/10.15379/ijmst.v9i1.3738

Keywords:

Heats of Mixing (Excess Enthalpy),Statistical Thermodynamics, Thermodynamic Systems for Binary Liquids, Hard-Fluid Model,Binary Liquid Mixtures, Whole Composition Range, Molefraction, Graphical Representation.

Abstract

The excess enthalpy of most binary liquid mixtures is calculated through numerous models. This research uses the ‘Hard-Fluid Model’ under various thermodynamic parameters. This research encompasses the application of the model to instigate the excess enthalpy of Binary Liquid Mixtures. A statistical thermodynamic approach is applied to the system of mixtures. This treatment is applied to organic fluids like Benzene, Carbon Tetrachloride n-hexane, Cyclohexane, etc., and their mixtures over the whole composition range and thermodynamic systems.The calculated results are shown as a function of molefraction graphically. Hence, the calculated results of the research are compared to the experimental results of the binary mixtures in a thermodynamic system. The results are then calculated from other existing methods in research. The results from the corresponding mixture of binary liquids are found to be satisfactory in certain cases that are discussed in the research. This research motivated researchers and physicists to study the excess enthalpy of different binary liquid mixtures through the methods and approaches of existing thermodynamic systems.

 

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Published

2022-08-05

How to Cite

[1]
N. K. . Ghosh, “An Overview of Statistical Thermodynamic Consideration of Binary Mixtures Composed of Molecular Fluids: A Special Instance to The Heats of Mixing of Binary Mixtures of Organic Fluids Over The Whole Composition Range With Graphical Representation”, ijmst, vol. 9, no. 1, pp. 65-73, Aug. 2022.

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Articles