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Axial Flow Column 1D¶
Group /input/model/unit_XXX - UNIT_TYPE - COLUMN_MODEL_1D¶
UNIT_TYPE
Specifies the type of unit operation model
Type: string
Range: \(\texttt{COLUMN_MODEL_1D}\)
Length: 1
NCOMP
Number of chemical components in the chromatographic medium
Type: int
Range: \(\geq 1\)
Length: 1
CROSS_SECTION_AREA
Cross section area of the column (optional if \(\texttt{VELOCITY}\) is present, see Section Specification of flow rate / velocity and direction) Unit: \(\mathrm{m}^{2}\)
Type: double
Range: \(>0\)
Length: 1
COL_LENGTH
Column length
Unit: \(\mathrm{m}\)
Type: double
Range: \(> 0\)
Length: 1
COL_POROSITY
Column porosity
Type: double
Range: \((0,1]\)
Length: 1
NPARTYPE
Number of particle types.
Type: int
Range: \(\geq 1\)
Length: 1
PAR_TYPE_VOLFRAC
Volume fractions of the particle types. The volume fractions can be set for all axial cells together or for each individual axial cell. For each cell, the volume fractions have to sum to \(1\). In case of a spatially inhomogeneous setting, the data is expected in cell-major ordering and the \(\texttt{SENS_SECTION}\) field is used for indexing the axial cell when specifying parameter sensitivities. This field is optional in case of only one particle type.
Type: double
Range: \([0,1]\)
Length: \(\texttt{NPARTYPE} / \texttt{NCOL} \cdot \texttt{NPARTYPE}\)
VELOCITY
Interstitial velocity of the mobile phase (optional if \(\texttt{CROSS_SECTION_AREA}\) is present, see Section Specification of flow rate / velocity and direction) Unit: \(\mathrm{m}\,\mathrm{s}^{-1}\)
Type: double
Range: \(\mathbb{R}\)
Length: \(1 / \texttt{NSEC}\)
COL_DISPERSION
Axial dispersion coefficient
Unit: \(\mathrm{m}_{\mathrm{IV}}^{2}\,\mathrm{s}^{-1}\)
Type: double
Range: \(\geq 0\)
Length: see \(\texttt{COL_DISPERSION_MULTIPLEX}\)
COL_DISPERSION_MULTIPLEX
Multiplexing mode of \(\texttt{COL_DISPERSION}\). Determines whether \(\texttt{COL_DISPERSION}\) is treated as component- and/or section-independent. This field is optional. When left out, multiplexing behavior is inferred from the length of \(\texttt{COL_DISPERSION}\). Valid modes are:
Component-independent, section-independent; length of \(\texttt{COL_DISPERSION}\) is \(1\)
Component-dependent, section-independent; length of \(\texttt{COL_DISPERSION}\) is \(\texttt{NCOMP}\)
Component-independent, section-dependent; length of \(\texttt{COL_DISPERSION}\) is \(\texttt{NSEC}\)
Component-dependent, section-dependent; length of \(\texttt{COL_DISPERSION}\) is \(\texttt{NCOMP} \cdot \texttt{NSEC}\); ordering is section-major
Type: int
Range: \(\{0, \dots, 3 \}\)
Length: 1
REACTION_MODEL_BULK
Specifies the type of reaction model of the bulk volume. The model is configured in the subgroup \(\texttt{reaction_bulk}\).
Type: string
Range: See Section Reaction models
Length: 1
INIT_C
Initial concentrations for each component in the bulk mobile phase
Unit: \(\mathrm{mol}\,\mathrm{m}_{\mathrm{IV}}^{-3}\)
Type: double
Range: \(\geq 0\)
Length: \(\texttt{NCOMP}\)
INIT_STATE
Full state vector for initialization (optional, \(\texttt{INIT_C}\), \(\texttt{INIT_CP}\), and \(\texttt{INIT_CS}\) will be ignored; if length is \(2\texttt{NDOF}\), then the second half is used for time derivatives)
Unit: \(various\)
Type: double
Range: \(\mathbb{R}\)
Length: \(\texttt{NDOF} / 2\texttt{NDOF}\)
Group /input/model/unit_XXX/particle_type_XXX¶
Each particle type is specified in another subgroup particle_type_XXX, see Particle Model.
Group /input/model/unit_XXX/discretization - UNIT_TYPE - COLUMN_MODEL_1D¶
USE_ANALYTIC_JACOBIAN
Determines whether analytically computed Jacobian matrix (faster) is used (value is 1) instead of Jacobians generated by algorithmic differentiation (slower, value is 0)
Type: int
Range: \(\{0, 1\}\)
Length: 1
Spatial discretization - Numerical Methods¶
CADET offers two spatial discretization methods: Finite Volumes (FV) and Discontinuous Galerkin (DG). Each method has it’s own set of input fields. While both methods approximate the same solution to the same underlying model, they may differ in terms of computational performance. With our currently implemented variants of FV and DG, FV perform better for solutions with steep gradients or discontinuities, while DG can be much faster for rather smooth solutions. For the same number of discrete points, DG will generally be slower but often more accurate.
For further information on the choice of discretization methods and their parameters, see Spatial discretization methods.
SPATIAL_METHOD
Spatial discretization method. Optional, defaults to \(\texttt{FV}\)
Type: string
Range: \(\{\texttt{FV}, \texttt{DG}\}\)
Length: 1
Discontinuous Galerkin¶
POLYDEG
DG polynomial degree. Optional, defaults to 4 and \(N_d \in \{3, 4, 5\}\) is recommended. The total number of axial discrete points is given by (
POLYDEG
+ 1 ) *NELEM
Type: int
Range: \(\geq 1\)
Length: 1
NELEM
Number of axial column discretization DG cellselements. The total number of axial discrete points is given by (
POLYDEG
+ 1 ) *NELEM
Type: int
Range: \(\geq 1\)
Length: 1
NCOL
Number of axial discrete points. Optional and ignored if
NELEM
is defined. Otherwise, used to calculateNELEM
= \(\lfloor\)NCOL
/ (POLYDEG
+ 1 ) \(\rfloor\)
Type: int
Range: \(\geq 1\)
Length: 1
EXACT_INTEGRATION
Specifies the DG integration variant. Optional, defaults to 0
Type: int
Range: \(\{0, 1\}\)
Length: 1
LINEAR_SOLVER
Specifies the linear solver variant used to factorize the semidiscretized system. Optional, defaults to
SparseLU
. For more information on these solvers, we refer to the Eigen documentation
Type: int
Range: \(\{\texttt{SparseLU}, \texttt{SparseQR}, ..., \texttt{BiCGSTAB}\}\)
Length: 1
When using the DG method, we generally recommend specifying
USE_MODIFIED_NEWTON = 1
in Group /solver/time_integrator, i.e. to use the modified Newton method to solve the linear system within the time integrator. For further information on discretization parameters, see also Nonlinear solver for consistent initialization.
Finite Volumes¶
NCELLS
Number of axial column discretization points, i.e. FV cells
Type: int
Range: \(\geq 1\)
Length: 1
RECONSTRUCTION
Type of reconstruction method for fluxes
Type: string
Range: \(\texttt{WENO}\)
Length: 1
The following FV discretization parameters are only required if particles are present:
GS_TYPE
Type of Gram-Schmidt orthogonalization, see IDAS guide Section 4.5.7.3, p. 41f. A value of \(0\) enables classical Gram-Schmidt, a value of 1 uses modified Gram-Schmidt.
Type: int
Range: \(\{0, 1\}\)
Length: 1
MAX_KRYLOV
Defines the size of the Krylov subspace in the iterative linear GMRES solver (0: \(\texttt{MAX_KRYLOV} = \texttt{NCOL} \cdot \texttt{NCOMP} \cdot \texttt{NPARTYPE}\))
Type: int
Range: \(\{0, \dots, \texttt{NCOL} \cdot \texttt{NCOMP} \cdot \texttt{NPARTYPE} \}\)
Length: 1
MAX_RESTARTS
Maximum number of restarts in the GMRES algorithm. If lack of memory is not an issue, better use a larger Krylov space than restarts.
Type: int
Range: \(\geq 0\)
Length: 1
SCHUR_SAFETY
Schur safety factor; Influences the tradeoff between linear iterations and nonlinear error control; see IDAS guide Section~2.1 and 5.
Type: double
Range: \(\geq 0\)
Length: 1
FIX_ZERO_SURFACE_DIFFUSION
Determines whether the surface diffusion parameters \(\texttt{SURFACE_DIFFUSION}\) are fixed if the parameters are zero. If the parameters are fixed to zero (\(\texttt{FIX_ZERO_SURFACE_DIFFUSION} = 1\), \(\texttt{SURFACE_DIFFUSION} = 0\)), the parameters must not become non-zero during this or subsequent simulation runs. The internal data structures are optimized for a more efficient simulation. This field is optional and defaults to \(0\) (optimization disabled in favor of flexibility).
Type: int
Range: \(\{0, 1\}\)
Length: 1
For further information on discretization parameters, see also Flux reconstruction methods (FV specific)), and Nonlinear solver for consistent initialization.