mixed_diffusion

openpnm.models.physics.diffusive_conductance.mixed_diffusion(target, pore_diameter='pore.diameter', throat_diameter='throat.diameter', pore_diffusivity='pore.diffusivity', throat_diffusivity='throat.diffusivity', pore_temperature='pore.temperature', throat_temperature='throat.temperature', molecular_weight='pore.molecular_weight', size_factors='throat.diffusive_size_factors')[source]

Calculates the diffusive conductance of conduits in network with Knudsen correction.

Parameters
  • target (OpenPNM Base object) – Object with which this model is associated. This controls the length of the calculated array, and also provides access to other necessary properties.

  • pore_diameter (str) – Name of the dictionary key on target pointing to the array containing values of pore diameter

  • throat_diameter (str) – Name of the dictionary key on target pointing to the array containing values of throat diameter

  • pore_diffusivity (str) – Name of the dictionary key on target pointing to the array containing values of pore diffusivity

  • throat_diffusivity (str) – Name of the dictionary key on target pointing to the array containing values of pore diffusivity

  • pore_temperature (str) – Name of the dictionary key on target pointing to the array containing values of pore temperature

  • molecular_weigth (str) – Name of the dictionary key on target pointing to the array containing values of pore molecular weight

  • size_factors (str) – Name of the dictionary key on target pointing to the array containing values of size factor

Returns

values – A numpy ndarray containing the computed values of diffusive conductance

Return type

ndarray