Cantera/Diffusion: Difference between revisions
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Cantera treats diffusion using either a multicomponent, species-by-species diffusion rate, or using a mixture-averaged diffusion rate for each species. | Cantera treats diffusion using either a multicomponent, species-by-species diffusion rate, or using a mixture-averaged diffusion rate for each species. | ||
Taken from information available at http://public.ca.sandia.gov/chemkin/docs/oppdif.pdf | |||
=Diffusitivites= | =Diffusitivites= | ||
Notation for some diffusivities should be defined before describing models for multicomponent or mixture-averaged diffusive fluxes. Three diffusivities are defined: | |||
* <math>D_{kj}</math> - multicomponent species diffusivity | * <math>D_{kj}</math> - multicomponent species diffusivity | ||
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* <Math>\mathbb{D}_{jk}</math> - binary diffusivity | * <Math>\mathbb{D}_{jk}</math> - binary diffusivity | ||
The diffusive flux <math> \mathbf{J} </math> is proportional to species gradients. | The diffusive flux <math> \mathbf{J} </math> is modeled as being proportional to species gradients. The diffusivities are the proportionality constants of that relationship. | ||
=Multicomponent= | =Multicomponent= | ||
Revision as of 18:56, 12 January 2014
Cantera treats diffusion using either a multicomponent, species-by-species diffusion rate, or using a mixture-averaged diffusion rate for each species.
Taken from information available at http://public.ca.sandia.gov/chemkin/docs/oppdif.pdf
Diffusitivites
Notation for some diffusivities should be defined before describing models for multicomponent or mixture-averaged diffusive fluxes. Three diffusivities are defined:
- $ D_{kj} $ - multicomponent species diffusivity
- $ D_{km} $ - mixture-averaged diffusivity
- $ \mathbb{D}_{jk} $ - binary diffusivity
The diffusive flux $ \mathbf{J} $ is modeled as being proportional to species gradients. The diffusivities are the proportionality constants of that relationship.
Multicomponent
The multicomponent diffusive flux model assumes the diffusive flux $ \mathbf{J} $ is proportional to every species gradient. This means that each species has a distinct contribution to the diffusive flux from the gradient of each species in the mixture:
(Assuming domain/diffusion is one-dimensional)
$ \mathbf{J}_k = J_k = \rho u_{k,diff} $
There are two contributions to the diffusion velocity $ u_{k,diff} $: the multicomponent diffusion velocity, and a contribution to diffusion velocity via thermal gradients:
$ u_{k,diff} = u_{k,mass diff} + u_{k,therm diff} $
These are defined (assuming the one dimension is denoted $ x $) as:
$ u_{k,multicomponent mass diff} = \dfrac{1}{X_k \overline{W}} \sum_{j=1}^{K} W_j D_{kj} \dfrac{ d X_j }{dx} $
or more generally,
$ u_{k,multicomponent multi diff} = \dfrac{1}{X_k \overline{W}} \sum_{j=1}^{K} W_j D_{kj} \nabla X_j $
and the thermal diffusion term is:
$ u_{k,multicomponent therm diff} - \dfrac{D_k^T }{ \rho Y_k } \dfrac{1}{T} \dfrac{dT}{dx} $
or,
$ u_{k,multicomponent therm diff} = - \dfrac{D_k^T }{ \rho Y_k } \dfrac{1}{T} \nabla T $
Mixture-Averaged
The mixture-averaged diffusive flux model assumes the diffusive flux for species k, $ J_k $, depends only on the gradient of species k:
$ u_{k,mixavg mass diff} = - \dfrac{1}{X_k} D_{km} \dfrac{d X_k}{dx} $
$ u_{k,mixavg mass diff} = - \dfrac{1}{X_k} D_{km} \nabla X_k $
and the thermal diffusion term is:
$ u_{k,mixavg therm diff} = - \dfrac{D_k^T}{\rho Y_k} \dfrac{1}{T} \dfrac{dT}{dx} $
$ u_{k,mixavg therm diff} = - \dfrac{D_k^T}{\rho Y_k} \dfrac{1}{T} \nabla T $
The mixture-averaged diffusivities are computed from the binary diffusivities as follows:
$ D_{km} = \dfrac{ 1 - Y_k }{ \sum_{j \neq k}{K} \dfrac{ X_j }{ \mathbb{D}_{jk} $