Mass transfer
From Thermal-FluidsPedia
When there is a species concentration difference in a multicomponent mixture, mass transfer occurs. There are two modes of mass transfer: diffusion and convection. Diffusion results from random molecular motion at the microscopic level, and it can occur in a solid, liquid or gas. Similar to convective heat transfer, convective mass transfer is due to a combination of random molecular motion at the microscopic level and bulk motion at the macroscopic level. It can occur only in a liquid or gas.
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Species Concentration
The species concentration in a mixture ρ_{i}, is defined as the mass of species i per unit volume of the mixture (kg/m^{3}). The density of the mixture equals the sum of the concentrations of all N species, i.e.,
The concentration of the i^{th} species can also be represented by the mass fraction of the i^{th} species, defined as
It follows from eq. (1) that
The concentration of the i^{th} species can also be represented as molar concentration, defined as the number of moles of the i^{th} species per unit volume, c_{i} (kmol/m^{3}), which is related to the mass concentration by
The molar concentration of the mixture equals the sum of the molar concentrations of all N species, i.e.,
The molar fraction of the i^{th} species is defined as
which is identical to the molecular number fraction – the fraction of the number of molecules of the i^{th} species to the number of molecules of all species in a given volume. This concept is essential when kinetic theory is used to describe the mass transfer process. Equation (6) leads to
The mean molecular mass of the mixture can be expressed as
The mass fraction is related to the molar fraction by
The molar fraction is related to the mass fraction by
Mass diffusion of the i^{th} component in the mixture will result in a velocity, V_{i}, of the i^{th} component relative to the stationary coordinate axes. The local mass-averaged velocity of all species, , is defined as
which demonstrates that the local mass flux due to diffusion, , is equal to the summation of mass flux for each species, .
The molar-averaged velocity can be defined in a similar manner:
The velocity of the V_{i} species relative to the mass or molar-averaged velocity, or is defined as diffusion velocity. The mass flux and molar flux relative to stationary coordinate axes are defined as
The fluxes defined in eqs. (13) and (14) are related by
Applying eqs. (13) and (14) into eqs. (11) and (12), the total mass flux and molar flux are obtained.
The mass flux relative to the mass-averaged velocity is
and the molar flux relative to the molar averaged velocity is
According to eqs. (11) and (12), we have
Although any one of the four fluxes defined in eqs. (13) – (14) and (18) – (19) are adequate to describe mass diffusion under all circumstances, there is usually a preferred definition of flux that can lead to less algebraic complexity. When mass diffusion is coupled with advection, eq. (18) is preferred because the mass-averaged velocity, , is the velocity used in the momentum and energy equations. On the other hand, eq. (19) is preferred for the multicomponent system with constant molar density c, resulting from constant pressure and temperature. According to eqs. (13)–(19), the following relationships between different fluxes are valid:
Binary Systems
For a binary system that is uniform in all aspects except concentration, i.e., no temperature or pressure gradient, the diffusive mass flux can be obtained by Fick’s law:
or alternatively
where D_{12} is binary diffusivity (m^{2}/s).
The mass and molar-flux relative to a stationary coordinate axes are
Equation (52) is widely applied in binary systems with constant density, while eq. (26) is more appropriate for systems with constant molar concentration. It should be noted that from eqs. (25) and (26) the absolute fluxes of species ( or for a binary system can always be presented as a summation of two parts: one part due to convection [the first term in eqs. (25) and (26)], and another part due to diffusion [the second term in eqs. (25) and (26)]. For an isothermal and isobaric steady-state one-dimensional binary system shown in the figure on the right, in which surface (y =0) is impermeable to species 2, the mass flux of species 1 at the surface (y = 0) is
Multicomponent System and Maxwell-Stefan relation
For a system with more than two components, Fick’s law is no longer appropriate and one must find other approaches to relate mass flux and concentration gradient. For a multicomponent low-density gaseous mixture, the following Maxwell-Stefan relation can be used to relate the molar fraction gradient of the i^{th} component and the molar flux:
where D_{ij} is the binary diffusivity from species i to species j. Equation (28) was originally suggested by Maxwell for a binary mixture based on kinetic theory and was extended to diffusion of gaseous mixtures of N species by Stefan. For an N-component system, N(N–1)/2 diffusivities are required. The diffusion in a multicomponent system is different from diffusion in a binary system, because the movement of the i^{th} species is no longer proportional to the negative concentration gradient of the i^{th} species. It is possible that (1) a species moves against its own concentration gradient, referred to as reverse diffusion; (2) a species can diffuse even when its concentration gradient is zero, referred to as osmotic diffusion; or (3) a species does not diffuse although its concentration gradient is favorable to such diffusion, referred to as diffusion barrier (Bird et al., 2002).
The Maxwell-Stefan relation can also be rewritten in terms of mass fraction and mass flux
where is the molar-averaged molecular mass of the mixture. Although eqs. (28) and (29) were originally developed for low-density gaseous mixtures, it has been shown that they are also valid for dense gases, liquids, and polymers, except that D_{ij} should be replaced by the multicomponent Maxwell-Stefan diffusivity .
The total diffusive mass flux vector of species i can be expressed as a linear form (Curtiss and Bird, 1999)
which is referred to as the generalized Fick equation, which is applicable to a system with concentration, temperature, and pressure gradients. The first term on the right-hand side represents thermal diffusion, where is thermal diffusion coefficient. The second term is diffusion caused by all other driving forces, including concentration gradient, pressure, and body force, where is the multicomponent Fick diffusivity. is obtained from
where
The multicomponent Fick diffusivities are symmetric () and satisfy . Equation (30) can be rearranged to express the driving force, d_{i}, in terms of mass flux, i.e.,
which are referred to as generalized Maxwell-Stefan equations. The diffusional driving force d_{i} is obtained by
where is partial molar Gibbs free energy (J/kmol), is partial molar enthalpy (J/kmol), and X_{j} is the body force per unit mass (m/s^{2}) for the i^{th} component. For an ideal gas mixture, the generalized driving force becomes
where the first two terms on the right-hand side are driving forces for ordinary diffusion and pressure diffusion. The last two terms are driving force for body force diffusion. If gravity is the only body force, the body force diffusion is zero because for any component. The thermal (Soret) diffusion was included in the first term in eq. (30).
Substituting eq. (35) into eq. (30) and after some manipulations, the final form of mass flux in the Fick form is obtained as (Curtiss and Bird, 1999)
Similarly, substituting eq. (35) into eq. (32), the final form of the Maxwell-Stefan equations becomes
For dilute monatomic gas mixtures, the Maxwell-Stefan diffusivities can be approximated by binary diffusivity, i.e., and eq. (37) is preferred over eq. (36) because strongly depends on the mass concentrations. Equation (37) reduces to eq. (28) for the gaseous mixture with uniform temperatures and pressures. The multicomponent thermodiffusivity for species i is expressed as
where is the thermal diffusion ratio and it is related to the thermal diffusion factor, by (Bird et al., 2002) where x_{i} and x_{j} are molar fractions of component i and j, respectively. For applications that involve mass diffusion in a binary mixture containing species 1 and 2, the multicomponent thermodiffusivity becomes
The thermal diffusion ratio in a binary system depends on both temperature and concentration, and some selected values for liquids and gases can be found in Bird et al.(2002). For transport phenomena in applications such as biotechnology, fuel cells and many others, it is usually assumed that the gas is ideal, the only body force is gravity, and the mixture pressure gradient is negligible. Although eq. (36) can be simplified to get the diffusive mass flux in this case, the multicomponent Fick diffusivities are strongly dependent on the concentration as evidenced by eqs. (31) and (32). An alternative and simpler approach that utilizes all effects was developed in Faghri and Zhang (2006).
The components of matrices A and B can be found below.
Equation (40) is in a form that can be very easily programmed and it can be simplified for a variety of cases. For a binary mixture – a simplest mixture, A and B are both a single value.
Therefore, the diffusion mass flux of a binary mixture is:
For a mixture of several species that are all very dilute in species N (), the B matrix is approximately
and the A matrix is approximately
The mixture molecular mass is also approximately equal to the molecular mass of the N^{th} component, . Therefore the diffusion flux for each component is:
While the above discussions provided the generalized descriptions for mass transfer in a multicomponent system, the mass flux in a nonisothermal and nonisobaric binary system has a much simpler expression. The mass flux of species 1 due to ordinary pressure, body force, and thermal diffusion for a binary system becomes
where D_{12} is the binary diffusion coefficient (mass diffusivity, m^{2}/s) of species 1 in a mixture of species 1 and 2. The unit for the mass diffusivity, D_{12}, is the same as the kinematic viscosity, ν = μ / ρ, and the thermal diffusivity, α= k/(ρc_{p}). The binary diffusivity at 1 atm for selected gases is listed in Tables E.1-E.3, Appendix E. It should be pointed out that the pressure diffusion, body force diffusion, and Soret diffusion represented by the second to fourth terms in eq. (51) is negligible for most applications.
Similarly one can reduce the generalized Maxwell-Stefan equation (37) to the following form by neglecting pressure, body force, and thermal diffusion effects and assuming the mean molecular mass is constant [see. eq. (29)]:
In order to solve for the mass flux J, eq. (52) can be rearranged to get
where
The second mode of mass transfer, convective mass transfer, may be expressed in a manner analogous to eq. (19):
where the species mass flux, is again exemplified by transport from a flat surface to a vapor stream flowing over that surface. The term h_{m} (m/s) in eq. (57) is the convection mass transfer coefficient, ρ_{1,w} is the species mass concentration at the surface, is the species mass concentration in the free stream, and ω_{1,w} and are the species mass fractions at the surface and in the free stream, respectively.
As is the case for the convective heat transfer coefficient, the convective mass transfer coefficient is a function of fluid properties, the flow field characteristics, and the geometric configuration. Results are frequently expressed in a dimensionless form that also reflects the analogy between heat and mass transfer, the Sherwood number:
For convenience and physical analogy between various diffusion transport processes, the three rates of diffusion transport equations for mass, momentum, and heat for one-dimensional, constant properties are summarized below:
Fick's law (binary diffusion):Newton's law viscosity (viscous fluid shear):
Fourier's law of heat conduction:
It is apparent that all the rate equations are of the same form, where flux equals a constant times potential gradient. The proportionality constant is a function of materials involved in the transport process. This analogous relationship can be used to predict a transport phenomenon on the basis of knowledge of another transport phenomenon. For example, the empirical correlation of turbulent heat transfer can be obtained by applying correlation of friction or similarly mass transfer coefficients. In general, when an analogy exists and it does not always, information obtained from a simple experimental setup can be applied to more complex physical experimental setups. In subsequent chapters, we see circumstances in which two or more processes are governed by the same dimensionless governing equations and boundary conditions. In these circumstances, one can develop these analogous relations from a more accurate basis. As a first approximation, the convective heat and mass transfer coefficients for laminar and turbulent heat transfer can be related by the following equation:
Various fluxes in terms of the transport properties in multicomponent systems are summarized in the following table.
Summary of fundamental laws in momentum, heat and mass transfer
Flux | Equations | Requirements | Comments/Assumptions |
Momentum | Newton’s law of viscosity (Introduction to Momentum Transfer) | Newtonian fluid Laminar | Single or multicomponent |
Simplified Newton’s law of viscosity | Newtonian fluid Laminar | Single or multicomponent Incompressible | |
Energy | Fourier’s law (Introduction to Heat Transfer) | Single component | Isotropic |
Fourier’s law for anisotropic material | Single component | Anisotropic | |
Fourier’s law for anisotropic material with interdiffusion convection and thermodiffusion effects | Multi-component | Anisotropic The second and third terms account for, respectively, the interdiffusion convection and thermodiffusion effects | |
Mass | Fick’s law, eqs. (23) and (24) | Binary only | No temperature and pressure gradients. Same body force for both components |
Maxwell-Stefan equation (28) | Multi-component gaseous mixture | No temperature and pressure gradients. Same body forces for all N components | |
Maxwell-Stefan equation (56) | Multi-component gaseous mixture | No temperature and pressure gradients. Same body forces for all N components | |
Maxwell-Stefan equation (37) | Multi-component system | Including ordinary, pressure, body force, and thermal diffusion | |
Mass flux in binary system, eq. (51) | Binary only | Including ordinary, pressure, body force, and thermal diffusion |
The transport properties are presented in Thermophysical properties: mass transfer properties. Various empirical equations for transport properties of gases and liquids can also be found in Poling et al. (2000).
References
Bird, R.B., Stewart, W.E., and Lightfoot, E.N., 2002, Transport Phenomena, 2^{nd} edition, John Wiley & Sons, New York.
Curtiss, C. F., and Bird, R. B., 1999, “Multicomponent Diffusion,” Industrial and Engineering Chemistry Research, Vol. 38, pp. 2115-2522.
Curtiss, C. F., and Bird, R. B., 2001, “Errata,” Industrial and Engineering Chemistry Research, Vol. 40, p. 1791.
Faghri, A., and Zhang, Y., 2006, Transport Phenomena in Multiphase Systems, Burlington, MA.
Faghri, A., Zhang, Y., and Howell, J. R., 2010, Advanced Heat and Mass Transfer, Global Digital Press, Columbia, MO.
Kays, W.M., Crawford, M.E., and Weigand, B., 2004, Convective Heat Transfer, 4^{th} ed., McGraw-Hill, New York, NY.
Poling, B.E., Prausnitz, J. M., and O’Connell, J.P., 2000, The Properties of Gases and Liquids, 5^{th} edition, McGraw-Hill, New York, NY.