mixed_diffusion#

mixed_diffusion(phase, 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:
  • phase (OpenPNM Phase object) – The phase object to which this model is associated (i.e. attached). This controls the length of the calculated array(s), and also provides access to other necessary properties.

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

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

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

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

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

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

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

Returns:

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

Return type:

ndarray