expert#

class ansys.fluent.core.generated.solver.tui_242.main_menu.define.models.multiphase.population_balance.expert(service, version, mode, path)#

Bases: TUIMenu

Enter the expert menu for quadrature-based population balance method.

Methods:

__init__(service, version, mode, path)

__init__ method of TUIMenu class.

Classes:

qbmm(service, version, mode, path)

qmom(service, version, mode, path)

__init__(service, version, mode, path)#

__init__ method of TUIMenu class.

class qbmm(service, version, mode, path)#

Bases: TUIMenu

.

Methods:

__init__(service, version, mode, path)

__init__ method of TUIMenu class.

Classes:

advection_cfl(service, version, mode, path)

Select the QBMM advection Courant number.

advection_cfl_method(service, version, mode, ...)

Select the QBMM advection Courant number calculation method: 0 = flux-based, 1 = averaged flux-based 2 = hybrid flux-based, 3 = max flux-based, 4 = explicit vof.

advection_int_max_steps(service, version, ...)

Select the maximum number of advection time steps.

advection_int_scheme(service, version, mode, ...)

Select QBMM advection time integration scheme.

advection_sub_step_hybrid_factor(service, ...)

Select the blending coefficient for the hybrid advection Courant number method.

exit_on_non_real(service, version, mode, path)

Exit on non-realizable moments detection.

max_volume_fraction(service, version, mode, path)

Select the maximum volume fraction value above which the moments are redistributed.

min_volume_fraction_cutoff(service, version, ...)

Select the minimum volume fraction value below which the moments are considered negligible.

redistribute_moments_based_on_volume_fraction(...)

Redistribute the moments if the volume fraction based on moment-3 is more than ``max-volume-fraction''?.

redistribution_error(service, version, mode, ...)

Select the error of the moment-based volume fraction redistribution relative to the total dispersed phase volume.

redistribution_max_iteration(service, ...)

Select the maximum number of moments redistribution iteration.

replace_negative_moments(service, version, ...)

Replace negative moments with locally averaged moments.

solve_advection(service, version, mode, path)

Solve the advection part of the QBMM equation?.

sort_abscissas(service, version, mode, path)

Sort quadrature points based on abscissas.

source_int_scheme(service, version, mode, path)

Select QBMM source time integration scheme.

source_int_time_steps_report(service, ...)

Report the distribution of the source integration time steps based on pre-defined bin sizes.

source_min_dt(service, version, mode, path)

Select the minimum acceptable time step for source time integration.

source_ode_err_abs(service, version, mode, path)

Select the source time integration absolute error.

source_ode_err_rel(service, version, mode, path)

Select the source time integration relative error.

source_ode_factor(service, version, mode, path)

Select the source time integration factor for error estimation.

source_ode_factor_max(service, version, ...)

Select the source time integration maximum factor for error estimation.

source_ode_factor_min(service, version, ...)

Select the source time integration minimum factor for error estimation.

update_moments_from_zetas(service, version, ...)

Update moments based on the auxiliary zetta quantities in advection solution?.

verbosity_level(service, version, mode, path)

Select a verbosity level (0-4) for QBMM.

zero_moment_minus(service, version, mode, path)

Select a small negative value above which the moments are considered negligible.

zero_moment_plus(service, version, mode, path)

Select a small positive value below which the moments are considered negligible.

zero_zeta_minus(service, version, mode, path)

Select a small negative value above which the auxiliary quantities are considered negligible.

zero_zeta_plus(service, version, mode, path)

Select a small postitive value below which the auxiliary quantities are considered negligible.
__init__(service, version, mode, path)#

__init__ method of TUIMenu class.

class advection_cfl(service, version, mode, path)#

Bases: TUIMethod

Select the QBMM advection Courant number.

class advection_cfl_method(service, version, mode, path)#

Bases: TUIMethod

Select the QBMM advection Courant number calculation method: 0 = flux-based, 1 = averaged flux-based 2 = hybrid flux-based, 3 = max flux-based, 4 = explicit vof.

class advection_int_max_steps(service, version, mode, path)#

Bases: TUIMethod

Select the maximum number of advection time steps.

class advection_int_scheme(service, version, mode, path)#

Bases: TUIMethod

Select QBMM advection time integration scheme.

class advection_sub_step_hybrid_factor(service, version, mode, path)#

Bases: TUIMethod

Select the blending coefficient for the hybrid advection Courant number method.

class exit_on_non_real(service, version, mode, path)#

Bases: TUIMethod

Exit on non-realizable moments detection.

class max_volume_fraction(service, version, mode, path)#

Bases: TUIMethod

Select the maximum volume fraction value above which the moments are redistributed.

class min_volume_fraction_cutoff(service, version, mode, path)#

Bases: TUIMethod

Select the minimum volume fraction value below which the moments are considered negligible.

class redistribute_moments_based_on_volume_fraction(service, version, mode, path)#

Bases: TUIMethod

Redistribute the moments if the volume fraction based on moment-3 is more than ``max-volume-fraction’’?.

class redistribution_error(service, version, mode, path)#

Bases: TUIMethod

Select the error of the moment-based volume fraction redistribution relative to the total dispersed phase volume.

class redistribution_max_iteration(service, version, mode, path)#

Bases: TUIMethod

Select the maximum number of moments redistribution iteration.

class replace_negative_moments(service, version, mode, path)#

Bases: TUIMethod

Replace negative moments with locally averaged moments.

class solve_advection(service, version, mode, path)#

Bases: TUIMethod

Solve the advection part of the QBMM equation?.

class sort_abscissas(service, version, mode, path)#

Bases: TUIMethod

Sort quadrature points based on abscissas.

class source_int_scheme(service, version, mode, path)#

Bases: TUIMethod

Select QBMM source time integration scheme.

class source_int_time_steps_report(service, version, mode, path)#

Bases: TUIMethod

Report the distribution of the source integration time steps based on pre-defined bin sizes.

class source_min_dt(service, version, mode, path)#

Bases: TUIMethod

Select the minimum acceptable time step for source time integration.

class source_ode_err_abs(service, version, mode, path)#

Bases: TUIMethod

Select the source time integration absolute error.

class source_ode_err_rel(service, version, mode, path)#

Bases: TUIMethod

Select the source time integration relative error.

class source_ode_factor(service, version, mode, path)#

Bases: TUIMethod

Select the source time integration factor for error estimation.

class source_ode_factor_max(service, version, mode, path)#

Bases: TUIMethod

Select the source time integration maximum factor for error estimation.

class source_ode_factor_min(service, version, mode, path)#

Bases: TUIMethod

Select the source time integration minimum factor for error estimation.

class update_moments_from_zetas(service, version, mode, path)#

Bases: TUIMethod

Update moments based on the auxiliary zetta quantities in advection solution?.

class verbosity_level(service, version, mode, path)#

Bases: TUIMethod

Select a verbosity level (0-4) for QBMM.

class zero_moment_minus(service, version, mode, path)#

Bases: TUIMethod

Select a small negative value above which the moments are considered negligible.

class zero_moment_plus(service, version, mode, path)#

Bases: TUIMethod

Select a small positive value below which the moments are considered negligible.

class zero_zeta_minus(service, version, mode, path)#

Bases: TUIMethod

Select a small negative value above which the auxiliary quantities are considered negligible.

class zero_zeta_plus(service, version, mode, path)#

Bases: TUIMethod

Select a small postitive value below which the auxiliary quantities are considered negligible.

class qmom(service, version, mode, path)#

Bases: TUIMenu

.

Methods:

__init__(service, version, mode, path)

__init__ method of TUIMenu class.

Classes:

inversion_algorithm(service, version, mode, path)

Select the inversion algorithm for quadrature-based population balance method.

print_realizable_moment_warning(service, ...)

Print the information for realizable moments in the population balance model.

realizable_moments(service, version, mode, path)

Set the population balance model.

retain_qmom_sources_for_low_vof(service, ...)

Retain qmom source calculation for low secondary phase vof.
__init__(service, version, mode, path)#

__init__ method of TUIMenu class.

class inversion_algorithm(service, version, mode, path)#

Bases: TUIMethod

Select the inversion algorithm for quadrature-based population balance method.

class print_realizable_moment_warning(service, version, mode, path)#

Bases: TUIMethod

Print the information for realizable moments in the population balance model.

class realizable_moments(service, version, mode, path)#

Bases: TUIMethod

Set the population balance model.

class retain_qmom_sources_for_low_vof(service, version, mode, path)#

Bases: TUIMethod

Retain qmom source calculation for low secondary phase vof.

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