| import openpnm as op |
| from openpnm.models.physics import source_terms |
| from openpnm.models import collections |
| import matplotlib.pyplot as plt |
|
|
|
|
| op.visualization.set_mpl_style() |
| ws = op.Workspace() |
| ws.settings["default_solver"] = "ScipySpsolve" |
| ws.clear() |
|
|
| pn = op.network.Cubic(shape=[25, 25, 1], spacing=1e-4) |
|
|
| |
| Ps = pn.coords[:, 0] < 13e-4 |
| Ts = pn.find_neighbor_throats(pores=Ps, asmask=True) |
| pn["pore.domain1"] = Ps |
| pn["throat.domain1"] = Ts |
|
|
| |
| Ps = pn.coords[:, 0] >= 13e-4 |
| Ts = pn.find_neighbor_throats(pores=Ps, mode="xnor", asmask=True) |
| pn["pore.domain2"] = Ps |
| pn["throat.domain2"] = Ts |
|
|
| |
| pn.add_model_collection(collections.geometry.cones_and_cylinders, domain="domain1") |
| pn.add_model_collection(collections.geometry.pyramids_and_cuboids, domain="domain2") |
|
|
| |
| pn.regenerate_models() |
|
|
| |
| air = op.phase.Air(network=pn, name="air") |
| air.add_model_collection(collections.physics.standard) |
| air.regenerate_models() |
|
|
| |
| air["pore.reaction_sites"] = False |
| air["pore.reaction_sites"][[310, 212, 113]] = True |
| air.add_model( |
| propname="pore.reaction1", |
| model=source_terms.power_law, |
| X="pore.concentration", |
| A1=-1, |
| A2=2, |
| A3=0, |
| domain="reaction_sites", |
| regen_mode="deferred", |
| ) |
| air.add_model( |
| propname="pore.reaction2", |
| model=source_terms.power_law, |
| X="pore.concentration", |
| A1=-1, |
| A2=2, |
| A3=0, |
| domain="reaction_sites", |
| regen_mode="deferred", |
| ) |
|
|
| |
| rxn = op.algorithms.FickianDiffusion(network=pn, phase=air) |
| rxn.set_value_BC(pores=pn.pores("left"), values=1) |
| rxn.set_source(pores=air.pores("reaction_sites"), propname="pore.reaction1") |
| rxn.run() |
|
|
| |
| rxn2 = op.algorithms.FickianDiffusion(network=pn, phase=air) |
| rxn2.set_value_BC(pores=pn.pores("left"), values=1) |
| rxn2.set_source(pores=air.pores("reaction_sites"), propname="pore.reaction2") |
| rxn2.run() |
|
|
| |
| fig, ax = plt.subplots() |
| ax = op.visualization.plot_coordinates( |
| network=pn, |
| ax=ax, |
| color_by=rxn2['pore.concentration'], |
| size_by=pn['pore.diameter'], |
| s=75, |
| ec='k', |
| linewidth=0.5, |
| ) |
| ax = op.visualization.plot_connections( |
| network=pn, |
| ax=ax, |
| zorder=0, |
| color_by=pn['throat.diameter'], |
| linewidth=1.5, |
| alpha=0.5, |
| ) |
| ax.axis(False) |
| fig.colorbar(ax.collections[0], label='pore.concentration') |
| fig.colorbar(ax.collections[1], label='throat.diameter') |
|
|
