Title of article :
Statistical mechanical theory of fluid mixtures
Author/Authors :
Zhao، نويسنده , , Yueqiang and Wu، نويسنده , , Zhengming and Liu، نويسنده , , Weiwei، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Pages :
14
From page :
62
To page :
75
Abstract :
A general statistical mechanical theory of fluid mixtures (liquid mixtures and gas mixtures) is developed based on the statistical mechanical expression of chemical potential of components in the grand canonical ensemble, which gives some new relationships between thermodynamic quantities (equilibrium ratio K i , separation factor α i j and activity coefficient γ i ) and ensemble average potential energy u ̄ i for one molecule. The statistical mechanical expressions of separation factor α i j and activity coefficient γ i derived in this work make the fluid phase equilibrium calculations can be performed by molecular simulation simply and efficiently, or by the statistical thermodynamic approach (based on the saturated-vapor pressure of pure substance) that does not need microscopic intermolecular pair potential functions. The physical meaning of activity coefficient γ i in the liquid phase is discussed in detail from a viewpoint of molecular thermodynamics. The calculated Vapor–Liquid Equilibrium (VLE) properties of argon–methane, methanol–water and n -hexane–benzene systems by this model fit well with experimental data in references, which indicates that this model is accurate and reliable in the prediction of VLE properties for small, large and strongly associating molecules; furthermore the statistical mechanical expressions of separation factor α i j and activity coefficient γ i have good compatibility with classical thermodynamic equations and quantum mechanical COSMO–SAC approach.
Keywords :
Fluid phase equilibria , Separation factor , activity coefficient , molecular simulation
Journal title :
Physica A Statistical Mechanics and its Applications
Serial Year :
2014
Journal title :
Physica A Statistical Mechanics and its Applications
Record number :
1737653
Link To Document :
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