taylor_aris_diffusion#

taylor_aris_diffusion(phase, pore_area='pore.area', throat_area='throat.cross_sectional_area', pore_diffusivity='pore.diffusivity', throat_diffusivity='throat.diffusivity', pore_pressure='pore.pressure', throat_hydraulic_conductance='throat.hydraulic_conductance', size_factors='throat.diffusive_size_factors')[source]#

Calculates the diffusive conductance of conduits in network considering the Taylor-Aris effect (effect of flow on diffusion).

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_area (str) – Name of the dictionary key on the target object pointing to the array containing values of pore cross-sectional area

  • throat_area (str) – Name of the dictionary key on the target object pointing to the array containing values of throat cross-sectional area

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

  • throat_hydraulic_conductance (str) – Name of the dictionary key on the target object pointing to the array containing values of throat hydraulic conductance

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

Returns:

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

Return type:

ndarray

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