6533b82efe1ef96bd1293464

RESEARCH PRODUCT

Prediction of Maxwell – Stefan diffusion coefficients in polymer – multicomponent fluid systems

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Abstract Calculations of mass fluxes in multicomponent fluids based on the system of generalized Maxwell–Stefan equations (GMSE) is preferably used because Maxwell–Stefan (M–S) diffusion coefficients are symmetrical and have a clear physical meaning, as they reflect the binary friction forces between compounds in the system. For the calculation of the mass transport of a multicomponent fluid in the polymer basing on GMSE, it is necessary to have M–S diffusion coefficients. This paper proposes a method that allows their calculation using widely available self-diffusion coefficients and binary diffusion coefficients for infinitely diluted mixtures. The proposed method was compared with the method of J.S. Vrentas and Ch.M. Vrentas [Restrictions on friction coefficients for binary and ternary diffusion, Ind. Eng. Chem. Res. 46 (2007) 3422–3428] that allows to predict diffusion coefficients of the generalized Fick׳s equation (GFE) for ternary systems based on self-diffusion coefficients. In the computational experiment, values of molar fluxes of methanol and toluene in poly(vinyl acetate) calculated in a wide range of concentrations using both methods were compared. Because the proposed method calculates molar fluxes relative to the average molar velocity and the method cited above – mass fluxes relative to the average mass velocity, for the sake of clarity of the comparison, the derivation of J.S. Vrentas and Ch.M. Vrentas was repeated using molar concentrations and mole fractions instead of mass density and mass fractions and molar fluxes were obtained as in the proposed method. In both methods, derivatives of chemical potentials were calculated in the same way, using the UNIFAC-FV method for which equations on derivatives of activity coefficients were derived. The computational experiment showed that the values of fluxes calculated in ternary methanol–toluene–poly(vinyl acetate) system using both significantly different methods are very close.