Thermodynamic Properties Study for the Binary Mixtures of Acetonitryle+ Dichloroethane, Trichlorethan at Temperature Range of 293.15-303.15 K: Experimental Results and Application of the Prigogine–Flory–Patterson Theory

In the present work, densities, ρ, and viscosities, η, for binary mixture of (x1 acetonitryle +x2 dichloroethane) and (x1 acetonitryle +x2 trichlorethan) have been measured at atmospheric pressure and in the entire composition range. These quantities have been used to calculate excess molar volumes, . These excess and deviation quantities have then been fitted to the Redlich– Kister equation [1]. The obtained correlations were used to calculate the other thermodynamic functions such as thermal expansion coefficient, α, and its excess value, αE, and isothermal coefficient of excess molar enthalpy (∂ /∂P)T,x. Results of such calculations were used for interpreting intermolecular interactions that exist between molecules of the binary mixture, qualitatively. The Prigogine-Flory-Patterson (PFP) theory has been successful in prediction the volumetric properties of various kinds of binary mixtures [2,3]. In this theory, excess thermodynamic properties of a binary mixture are separated into three contributions: the interactional contribution which is proportional to the interaction parameter, χ12; free volume contribution which arises from the difference between size of two components; and pressure contribution which depends on the internal pressure and reduced volume of the components. In this work, we have investigated the PFP theory as a method to predict the ¬ of these binary mixtures. Results of these calculations were used for interpreting intermolecular interactions that exist between molecules of the binary mixture. The densities of these binary mixtures were measured over the temperature range and over the entire composition range. Data of the excess molar volumes for these binary mixtures were calculated from the values of the experimental density. The calculated excess molar volumes using the PFP model are comparable with experimental values [4,5].