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6.23 kB
| import numpy as _np | |
| import scipy.constants as _const | |
| from openpnm.models import _doctxt | |
| from openpnm.models.physics._utils import _poisson_conductance | |
| __all__ = [ | |
| "generic_diffusive", | |
| "ordinary_diffusion", | |
| "mixed_diffusion", | |
| "taylor_aris_diffusion", | |
| ] | |
| def generic_diffusive(phase, | |
| pore_diffusivity="pore.diffusivity", | |
| throat_diffusivity="throat.diffusivity", | |
| size_factors="throat.diffusive_size_factors"): | |
| r""" | |
| Calculates the diffusive conductance of conduits in network. | |
| Parameters | |
| ---------- | |
| %(phase)s | |
| pore_diffusivity : str | |
| %(dict_blurb)s pore diffusivity | |
| throat_diffusivity : str | |
| %(dict_blurb)s throat diffusivity | |
| size_factors : str | |
| %(dict_blurb)s conduit diffusive size factors | |
| Returns | |
| ------- | |
| %(return_arr)s diffusive conductance | |
| """ | |
| return _poisson_conductance(phase=phase, | |
| pore_conductivity=pore_diffusivity, | |
| throat_conductivity=throat_diffusivity, | |
| size_factors=size_factors) | |
| def ordinary_diffusion(phase, | |
| pore_diffusivity="pore.diffusivity", | |
| throat_diffusivity="throat.diffusivity", | |
| size_factors="throat.diffusive_size_factors"): | |
| r""" | |
| Calculates the diffusive conductance of conduits in network. | |
| Parameters | |
| ---------- | |
| %(phase)s | |
| pore_diffusivity : str | |
| %(dict_blurb)s pore diffusivity | |
| throat_diffusivity : str | |
| %(dict_blurb)s throat diffusivity | |
| size_factors: str | |
| %(dict_blurb)s conduit diffusive size factors | |
| Returns | |
| ------- | |
| %(return_arr)s diffusive conductance | |
| """ | |
| return _poisson_conductance(phase=phase, | |
| pore_conductivity=pore_diffusivity, | |
| throat_conductivity=throat_diffusivity, | |
| size_factors=size_factors) | |
| def 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"): | |
| r""" | |
| Calculates the diffusive conductance of conduits in network with | |
| Knudsen correction. | |
| Parameters | |
| ---------- | |
| %(phase)s | |
| pore_diameter : str | |
| %(dict_blurb)s pore diameter | |
| throat_diameter : str | |
| %(dict_blurb)s throat diameter | |
| pore_diffusivity : str | |
| %(dict_blurb)s pore diffusivity | |
| throat_diffusivity : str | |
| %(dict_blurb)s pore diffusivity | |
| pore_temperature : str | |
| %(dict_blurb)s pore temperature | |
| molecular_weigth : str | |
| %(dict_blurb)s pore molecular weight | |
| size_factors : str | |
| %(dict_blurb)s size factor | |
| Returns | |
| ------- | |
| %(return_arr)s diffusive conductance | |
| """ | |
| # Fetch model parameters | |
| Dp = phase[pore_diffusivity] | |
| Dt = phase[throat_diffusivity] | |
| dp = phase.network[pore_diameter] | |
| dt = phase.network[throat_diameter] | |
| MWp = phase[molecular_weight] | |
| MWt = phase.interpolate_data(propname='throat.'+molecular_weight.split('.', 1)[-1]) | |
| Tp = phase[pore_temperature] | |
| Tt = phase[throat_temperature] | |
| # Calculate Knudsen contribution | |
| DKp = dp/3 * (8*_const.R*Tp / (_const.pi*MWp)) ** 0.5 | |
| DKt = dt/3 * (8*_const.R*Tt / (_const.pi*MWt)) ** 0.5 | |
| # Calculate mixed diffusivity | |
| Dp_eff = (1/DKp + 1/Dp) ** -1 | |
| Dt_eff = (1/DKt + 1/Dt) ** -1 | |
| return _poisson_conductance(phase=phase, | |
| pore_conductivity=Dp_eff, | |
| throat_conductivity=Dt_eff, | |
| size_factors=size_factors) | |
| def 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"): | |
| r""" | |
| Calculates the diffusive conductance of conduits in network | |
| considering the Taylor-Aris effect (effect of flow on diffusion). | |
| Parameters | |
| ---------- | |
| %(phase)s | |
| pore_area : str | |
| %(dict_blurb)s pore cross-sectional area | |
| throat_area : str | |
| %(dict_blurb)s throat cross-sectional area | |
| pore_diffusivity : str | |
| %(dict_blurb)s pore diffusivity | |
| throat_diffusivity : str | |
| %(dict_blurb)s pore diffusivity | |
| pore_pressure : str | |
| %(dict_blurb)s pore pressure | |
| throat_hydraulic_conductance : str | |
| %(dict_blurb)s throat hydraulic conductance | |
| size_factors : str | |
| %(dict_blurb)s conduit size factors | |
| Returns | |
| ------- | |
| %(return_arr)s diffusive conductance | |
| """ | |
| network = phase.network | |
| cn = network['throat.conns'] | |
| F = network[size_factors] | |
| # Fetch model parameters | |
| A1, A2 = network[pore_area][cn].T | |
| At = network[throat_area] | |
| D1, D2 = phase[pore_diffusivity][cn].T | |
| Dt = phase[throat_diffusivity] | |
| P = phase[pore_pressure] | |
| gh = phase[throat_hydraulic_conductance] | |
| # Calculate Peclet number | |
| Qt = -gh * _np.diff(P[cn], axis=1).squeeze() | |
| u1, ut, u2 = [Qt/Ai for Ai in [A1, At, A2]] | |
| Pe1 = u1 * ((4 * A1 / _np.pi) ** 0.5) / D1 | |
| Pe2 = u2 * ((4 * A2 / _np.pi) ** 0.5) / D2 | |
| Pet = ut * ((4 * At / _np.pi) ** 0.5) / Dt | |
| if F.ndim > 1: | |
| g1 = D1 * (1 + Pe1**2 / 192) * F[:, 0] | |
| gt = Dt * (1 + Pet**2 / 192) * F[:, 1] | |
| g2 = D2 * (1 + Pe2**2 / 192) * F[:, 2] | |
| gtot = 1 / (1/g1 + 1/gt + 1/g2) | |
| else: | |
| gtot = Dt * (1 + Pet**2 / 192) * F | |
| return gtot | |