Maxwell–Stefan diffusion coefficient model derived from entropy generation minimization principle for binary liquid mixtures

Abstract A new model for the Maxwell–Stefan (MS) diffusion coefficient was developed in this study. The entropy generation minimization principle was used to derive the expression of the MS diffusion coefficient, which has a similar form as Eyring’s model. Molar excess internal energy based on two-liquid theory was derived to correct the error induced by the linear mixing rule. The local surface area fraction was used to replace the bulk fraction by considering the intermolecular friction force exerting on the molecular surfaces. The new model was applied to calculate the Fick diffusion coefficients for four binary systems, which were measured experimentally by digital holographic interferometry. Comparison of the experimental and calculation results indicated that the proposed model has a good performance for calculating the diffusion coefficients for the mentioned binary systems.