I am looking into the spatial distribution of particles with different properties and their effect on adsorption columns.
For this I am using variations of size and porosity and their respective axial distribution inside the column.
My question is how npartype and the matrix for volume fractions are build.
model.root.input.model.unit_001.par_porosity = [0.33,0.5] # - model.root.input.model.unit_001.par_radius = [1e-6, 2e-6, 3e-6] # m model.root.input.model.unit_001.npartype = 6
In the documentation under “Ordering of multi dimensional data” the example given is
comp0bnd0, comp0bnd1, comp0bnd2, comp1bnd0, comp1bnd1, comp1bnd2.
In my case this could mean:
porosity0radius0, porosity0radius1, porosity0radius2, porosity1radius0, porosity1radius1, porosity1radius2.
radius0porosity0, radius0porosity1, radius0porosity2, radius1porosity0, radius1porosity1, radius1porosity2.
The order is relevant to know, because npartype is the column vector for the partype_volfrac Matrix.
Therefore the order of the columns need to be known to initialize this matrix.
The partype_volfrac Matrix in the example would look like one of these:
Hope someone can clarify which one of these 2 options is correct.