Abstract
In this work a unifying framework for modeling multi-component diffusion in mixed solvent polymer solutions is developed by introducing additional restrictions such as the Onsager reciprocal relations (ORR) and the quasi-equilibrium postulate. More specifically, three different multi-component diffusion models, namely the Zielinski and Hanley model, the Dabral et al. theory and the Alsoy–Duda model are revised by using the above restrictions which are based on sound principles of non-equilibrium thermodynamics. Realistic simulations for the solvent(s) evaporation from the water/acetone/cellulose acetate (CA) and formamide/acetone/CA systems were obtained by combining the above multi-component diffusion models with the ORR and the quasi-equilibrium postulate. It is believed that the results of this work could be used to further study diffusion in multi-component systems appearing in coating and membrane formation.
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Abbreviations
- a i :
-
Auxiliary parameters
- C i , C Ti :
-
Auxiliary parameter, dimensionless
- C p :
-
Specific heat capacity, J·kg−1·K−1
- C p0 :
-
Scaling factor, J·kg−1·K−1
- D 0 :
-
Scaling factor, m2·s−1
- \( \overline{D}_{ij} \) :
-
Maxwell–Stefan diffusion coefficient with respect to the mass concentration, m2·s−1
- D ij :
-
Diffusion coefficient with respect to mass concentration, m2·s−1
- \( D_{i}^{{}} \) :
-
Self diffusion coefficient of the i-th substance, m2·s−1
- h :
-
Heat transfer coefficient, W·m2·K−1
- j i,int :
-
Mass flux of the i-th substance at the liquid–gas interface, kg·m−2·s−1
- \( \user2{J}_{i}^{ \ne } \),:
-
Mass flux defined relative to an arbitrary velocity, kg·m−2·s−1
- k :
-
Thermal conductivity, W·m−1·K−1
- \( L_{ij}^{{}} \) :
-
Conductivity coefficient between the i-th and j-th substance, kg2·J−1·m−1·s−1
- L sup :
-
Support axial depth, m
- M i :
-
Molecular weight of the i-th substance, kg·mol−1
- R :
-
Universal gas constant, J·mol−1·K−1
- \( R_{ij}^{{}} \) :
-
Resistance coefficient between the i-th and j-th substance, J·m·s·kg−2
- s :
-
Position of the moving boundary, dimensionless
- S :
-
Rate of entropy production per unit volume, J·K−1·m−3
- t :
-
Time, s
- T :
-
Temperature, K
- T 0 :
-
Initial temperature, K
- u i :
-
Volume fraction of i-th substance, dimensionless
- u i0 :
-
Initial volume fraction of i-th substance, dimensionless
- v i :
-
Local velocity, m·s−1
- \( \user2{v}^{ \ne } \) :
-
Arbitrary velocity, m·s−1
- V i :
-
Partial specific volume of the i-th substance, m3·kg−1
- w i :
-
Weighting factors whose sum is equal to unity, dimensionless
- X i :
-
Thermodynamic driving force for diffusion, J·kg−1·m−1
- z :
-
Axial coordinate, m
- γ i :
-
Activity coefficient, dimensionless
- ΔΗ i :
-
i-th Substance latent heat of vaporization, J·kg−1
- ε :
-
Emissivity of the polymer solution, dimensionless
- η :
-
Dimensionless depth
- Θ :
-
Dimensionless temperature
- μ i :
-
Chemical potential of the i-th substance, J·kg−1
- μ di :
-
Dimensionless chemical potential of the i-th substance
- \( \varvec{\rho} \) :
-
Total mass density, kg·m−3
- ρ 0 :
-
Scaling parameter, kg·m−3
- ρ i :
-
Mass density of the i-th substance, kg·m−3
- ρ s :
-
Density of the polymer solution, kg·m−3
- σ :
-
Stefan–Boltzmann constant, W·m−2·K−4
- τ :
-
Dimensionless time
- Ψ :
-
Dissipation function, J·m−3·s−1
- int:
-
Interface
- s:
-
Solution
- sup:
-
Properties and variables of the support
References
Taylor, R., Krishna, R.: Multicomponent Mass Transfer. Wiley, New York (1993)
Cussler, E.L.: Diffusion Mass Transfer in Fluid Systems. Cambridge University Press, Cambridge (1997)
Slattery, J.C.: Advanced Transport Phenomena. Cambridge University Press, Cambridge (1999)
Bird, R.B., Stewart, W.E., Lightfoot, E.N.: Transport Phenomena. Wiley, New York (2002)
Onsager, L., Fuoss, R.M.: Irreversible processes in electrolytes: diffusion, conductance, and viscous flow in arbitrary mixtures of strong electrolytes. J. Phys. Chem. 36, 2659–2778 (1932)
Onsager, L.: Theories and problems of liquid diffusion. Ann. N.Y. Acad. Sci. 46, 241–265 (1945)
Vrentas, J.S., Duda, J.L.: Diffusion in polymer–solvent systems. I. Re-examination of the free-volume theory. J. Polym. Sci. Part B 15, 403–416 (1977)
Vrentas, J.S., Duda, J.L.: Diffusion in polymer–solvent systems II. A predictive theory for the dependence of diffusion coefficients on temperature, concentration and molecular weight. J. Polym. Sci. Part B 15, 417–439 (1977)
Vrentas, J.S., Duda, J.L., Ling, H.C.: Free-volume theories for self-diffusion in polymer–solvent systems. I. Conceptual differences in theories. J. Polym. Sci. 22, 459–469 (1984)
Vrentas, J.S., Duda, J.L., Ling, H.C.: Enhancement of impurity removal from polymer films. J. Appl. Polym. Sci. 30, 4499–4516 (1985)
Dabral, M., Francis, L.F., Scriven, L.E.: Drying process paths of ternary polymer solution coating. AIChE J. 48, 25–37 (2002)
Zielinski, J.M., Hanley, B.F.: Practical friction-based approach to modelling multicomponent diffusion. AIChE J. 45, 1–12 (1999)
Alsoy, S., Duda, J.L.: Modeling of multicomponent drying of polymer films. AIChE J. 45, 896–905 (1999)
Price Jr, P.E., Romdhane, I.H.: Multicomponent diffusion theory and its applications to polymer–solvent systems. AIChE J. 49, 309–322 (2003)
Kirkaldy, J.S., Weichert, D., Zia-Ul-Haq, : Diffusion in multicomponent metallic systems. VI. Some thermodynamic properties of the D matrix and the corresponding solutions of the diffusion equations. Can. J. Phys. 41, 2166–2173 (1963)
Tyrrell, H.J.V., Harris, K.R.: Diffusion in Liquids. A Theoretical and Experimental Study. Butterworths, London (1984)
Verros, G.D., Xentes, G.K.: Development of a unifying framework for the restrictions in multi-component diffusion close to equilibrium. J. Solution Chem. doi:10.1007/s10953-013-0018-6
Schmitt, A., Craig, J.B.: Frictional coefficient formalism and mechanical equilibrium in membranes. J. Phys. Chem. 81, 1338–1342 (1977)
Miller, D.G.: Thermodynamics of irreversible processes: the experimental verification of the Onsager reciprocal relations. Chem. Rev. 60, 15–37 (1960)
Hirschfelder, J.O., Curtiss, C.F., Bird, R.B.: Molecular Theory of Gases and Liquids. Wiley, New York (1964)
de Groot, S.R., Mazur, P.: Non-Equilibrium Thermodynamics. Dover Publications, New York (1984)
Kuiken, G.D.C.: Thermodynamics of Irreversible Processes—Applications to Diffusion and Rheology. Wiley, New York (1994)
Demirel, Y.A., Sandler, S.I.: Nonequilibrium thermodynamics in engineering and science. J. Phys. Chem. B 108, 31–43 (2004)
Onsager, L.: Reciprocal relations in irreversible processes I. Phys. Rev. 37, 405–426 (1931)
Onsager, L.: Reciprocal relations in irreversible processes II. Phys. Rev. 37, 2265–2279 (1931)
Verros, G.D.: On the validity of the Onsager reciprocal relations in multi-component diffusion. Phys. Lett. A 365, 34–38 (2007)
Verros, G.D.: On the validity of the Onsager reciprocal relations in simultaneous heat and mass transfer. Phys. A 385, 487–492 (2007)
Miller, D.G.: Application of irreversible thermodynamics to electrolyte solutions. I. Determination of ionic transport coefficients l ij for isothermal vector transport processes in binary electrolyte systems. J. Phys. Chem. 70, 2639–2659 (1966)
Nauman, E.B., Savoca, J.: An engineering approach to an unsolved problem in multicomponent diffusion. AIChE J. 47, 1016–1021 (2001)
Miller, D.G.: Ternary isothermal diffusion and the validity of the Onsager reciprocity relations. J. Phys. Chem. 63, 570–578 (1959)
Flory, P.J.: Principles of Polymer Chemistry. Cornell University Press, Ithaca (1953)
Verros, G.D.: Application of non-equilibrium thermodynamics and computer aided analysis to the estimation of diffusion coefficients in polymer solutions: the solvent evaporation method. J. Membr. Sci. 328, 31–57 (2009)
Krantz, W.B., Greenberg, A.R., Hellman, D.J.: Dry-casting: Computer simulation, sensitivity analysis, experimental and phenomenological model studies. J. Membr. Sci. 354, 178–188 (2010)
Verros, G.D., Malamataris, N.A.: Computer-aided estimation of diffusion coefficients in non-solvent/polymer systems. Macromol. Theory Simul. 10, 737–749 (2001)
Verros, G.D., Malamataris, N.A.: Multi-component diffusion in polymer solutions. Polymer 46, 12626–12636 (2005)
Yilmaz, L., McHugh, A.J.: Analysis of nonsolvent–solvent–polymer phase diagrams and their relevance to membrane formation modeling. J. Appl. Polym. Sci. 31, 997–1018 (1986)
Shojaie, S.S.: Polymeric dense films and membranes via the dry-cast phase inversion process. Modeling, casting and morphological studies. Ph.D. thesis, Boulder, Colorado (1992)
Shojaie, S.S., Krantz, W.B., Greenberg, A.R.: Dense polymer film and membrane formation via the dry-cast process. Part I. Model development. J. Membr. Sci. 94, 255–280 (1994)
Shojaie, S.S., Krantz, W.B., Greenberg, A.R.: Dense polymer film and membrane formation via the dry-cast process. Part II. Model validation and morphological studies. J. Membr. Sci. 94, 281–298 (1994)
Greenberg, A.R., Shojaie, S.S., Krantz, W.B., Tantekin-Ersolmaz, S.B.: Use of infrared thermography for temperature measurement during evaporative casting of thin polymeric films. J. Membr. Sci. 107, 249–261 (1995)
Ohya, H., Sourirajan, S.: Determination of concentration changes on membrane surface as function of time during evaporation of reverse-osmosis film casting solutions. J. Appl. Polym. Sci. 15, 705–713 (1971)
Ju, S.T., Duda, J.L., Vrentas, J.S.: Influence of temperature on diffusion of solvents in polymers above the glass transition. Ind. Eng. Chem. Prod. Res. Dev. 20, 330–335 (1981)
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Appendix
Appendix
The starting point for the derivation of Miller’s equation in the case of a diffusing polymer ternary solution close to equilibrium and in the absence of external forces is the dissipation function Ψ (see Eq. 7):
Obviously, the thermodynamic force \( X_{i} = \frac{{\partial \left( {\mu_{i} } \right)_{T,p} }}{\partial z} \) is subject to the Gibbs–Duhem restrictions:
By taking into account that the fluxes are linearly dependent and there is no volume change during the diffusion experiment, the following equation holds true:
where \( V_{i} \) represents the partial specific volume of the i-th substance. By further using Eq. 36–38 the dissipation function can be written as:
where
By applying the linearity postulate in the above equations the following law is derived:
where the L ij are the mass conductivity coefficients.
Fick’s law for a ternary diffusing system can be written in terms of the mass concentration ρ i as:
By using the chain rule to write the partial derivatives appearing in Fick’s law in terms of chemical potential and by comparing the coefficients with the reported coefficients in Eq. 40 one obtains:
where a, b, c, d denote the terms in the corresponding square brackets and μ ij stands for \( \frac{{\partial \left( {\mu_{i} } \right)_{T,p} }}{{\partial \rho_{j} }} \). Solution of Eq. 42 for L ij then yields:
The necessary and sufficient condition that L 12 = L 21 (ORR) is
Obviously, Eq. 44 satisfies both the ORR and the quasi-equilibrium postulate.
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Verros, G.D., Xentes, G.K. Development of a Unifying Framework for Modeling Multi-component Diffusion in Polymer Solutions. J Solution Chem 43, 206–226 (2014). https://doi.org/10.1007/s10953-013-0125-4
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DOI: https://doi.org/10.1007/s10953-013-0125-4