Species Transport

A particular species is defined as one component in a multi-component gas mixture or liquid mixture.

The transport equation for the mass fraction Y i of a species is given by:

Figure 1. EQUATION_DISPLAY
t V ρ Y i dV + A [ ρ Y i ( v + M i ) ] d a = A [ J i + μ t σ t Y i ] d a + V ( S Y i + C i ) d V
(1871)

where:

  • t is time
  • V is volume
  • a is the area vector
  • i is the component index.
  • ρ is the overall density.
  • v is the velocity.
  • M i is the migration term that is included when modeling the movement of charged species in an electric field.
  • μ t is the turbulent dynamic viscosity.
  • σ t is the turbulent Schmidt number
  • S Y i is a user specified region source term, or a source term resulting from reactions, for species i .
  • J i is the laminar (or molecular) diffusive flux.
  • C i is the added transport term when modeling concentrated charge migration, to consider the lithium cation migration in the fluid.

Turbulent diffusion is accounted for by the term μ t σ t . Laminar diffusion is defined by J i . If species transport is part of a two-way coupled Lagrangian Multiphase or Dispersed Multiphase, or a porous media simulation using the physical velocity approach, Eqn. (1871) is scaled to account for a reduction in available volume through the presence of a dispersed phase or a solid porous phase. For more information on how these phases affect the transport equation, see Volume Partitioning.

Fick's Law

When multi-component diffusion is deactivated, Fick’s Law is used to calculate the diffusive flux J i , given by:

Figure 2. EQUATION_DISPLAY
J i = ρ D i , m Y i
(1872)

where D i , m is the molecular diffusivity of component i in the mixture.

Multi-Component Diffusion

When multi-component diffusion is activated, the scalar diffusivity of Fick’s Law is replaced by a matrix, and the diffusive flux for component i becomes a function of the mass fractions for all components:

Figure 3. EQUATION_DISPLAY
J i = ρ j = 1 N D i , j Y j
(1873)

D i , j represents the multi-component diffusion coefficients which are calculated using the Maxwell-Stefan equations. These equations define the diffusive flux implicitly as a function of mole fraction gradients, which are given as:

Figure 4. EQUATION_DISPLAY
X i = M w ρ j = 1 , j i N X i J j M j D i , j - X j J i M i D i , j
(1874)

D i , j represents the binary diffusion coefficient between components i and j . Writing these equations in matrix form gives:

Figure 5. EQUATION_DISPLAY
[ B ] Y = [ A ] J
(1875)

where [ B ] represents the mapping from mass fraction gradients to mole fraction gradients and [ A ] represents the Maxwell-Stefan equations. By inverting [ A ] and multiplying by the matrix [ B ] , the multi-component diffusion coefficients are calculated:

Figure 6. EQUATION_DISPLAY
D i , j = ρ k = 1 N A i , k - 1 B k , j
(1876)
Soret Effect

When the Soret Effect option is activated, an additional term is added to the diffusive flux J i for each component.

The Soret flux S is given as:

Figure 7. EQUATION_DISPLAY
S = ρ D i , t T T
(1877)

In the case that multi-component diffusion is deactivated, the expression for the diffusive flux becomes [36]:

Figure 8. EQUATION_DISPLAY
J i = ρ D i , m Y i + S
(1878)

and when multi-component diffusion is activated, the expression becomes [35]:

Figure 9. EQUATION_DISPLAY
J i = ρ ( j = 1 N D i , j Y j ) + S
(1879)

where D i , t is the thermal diffusion coefficient for component i .

Thermal Diffusion

For the Warnatz Model, the thermal diffusion coefficient D i , t in Eqn. (1878) or Eqn. (1879) is computed based on the thermal diffusion ratio. The thermal diffusion ratio between component i and component j is given as [37]:

Figure 10. EQUATION_DISPLAY
K t , i j = 15 2 ( 2 A i , j * + 5 ) ( 6 C i , j * 5 ) A i , j * ( 16 A i , j * 12 B i , j * + 55 ) M i M j M i + M j X i X j
(1880)

and:

Figure 11. EQUATION_DISPLAY
A i , j * = 1 2 Ω i , j ( 2 , 2 ) Ω i , j ( 1 , 1 ) B i , j * = 1 3 5 Ω i , j ( 1 , 2 ) Ω i , j ( 1 , 3 ) Ω i , j ( 1 , 1 ) C i , j * = 1 3 Ω i , j ( 1 , 2 ) Ω i , j ( 1 , 1 )
(1881)
where:
  • Ω i , j represents collision integrals between component i and component j .
  • M i is the molecular weight of component i
Using the thermal diffusion ratio, the thermal diffusion coefficient for component i is given as:
Figure 12. EQUATION_DISPLAY
D i , t = D i , m M i M w j = 1 N K t , i j
(1882)

where D i , m is the effective molecular diffusivity of component i into the mixture and M w is the mean molecular weight of the mixture.

For N components, Simcenter STAR-CCM+ solves transport equations for all species and ensures that all mass fractions sum to 1.

Charged Species Effects

The Nernst-Planck ([835]) formulation is used to describe the behavior of dilute charged solutions. The migration or drift term, M i is added to Eqn. (1871), which describes the transport of charged species in an electric field, defined by:
Figure 13. EQUATION_DISPLAY
M i = F z i μ i E
(1883)
where F is the Faraday constant, z i and μ i are the charge number and charge mobility, respectively, that are specified for species i , and E is the electric field.

Concentrated Electrolyte

For concentrated charge migration, the transport term C i is added to Eqn. (1871) to consider the lithium cation migration in the fluid. C i is defined as:
Figure 14. EQUATION_DISPLAY
C i = - M i I t + , i 0 F
(1884)
where:
  • I is the electric current density.
  • t + , i 0 is the transference number with respect to the solvent.

The diffusion coefficient D i , m is extended to account for the concentrated solution correction to the ion/salt diffusion ([834]), which is defined as:

Figure 15. EQUATION_DISPLAY
D i , m = D i , m , 0 χ τ [ 1 - d ( ln c 0 ) d ( ln c i ) ]
(1885)
where:
  • c 0 is the solvent concentration.
  • c i is the salt concentration.

Species Transport in Porous Media

In porous media, the diffusive flux is modified by the porosity χ and tortuosity τ of the media.

For Fick's Law:

J i = χ τ ρ D i , m Y i

For multi-component diffusion:

J i = ρ χ τ j = 1 N D i , j Y j

For the Soret effect:

J i = ρ χ τ D i , m Y i + χ τ S