expert#

class ansys.fluent.core.solver.tui_241.main_menu.define.models.multiphase.population_balance.expert(service, version, mode, path)#

Bases: TUIMenu

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

Classes:

qbmm(service, version, mode, path)

.

qmom(service, version, mode, path)

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

Bases: TUIMenu

.

Classes:

advection_cfl(service, version, mode, path)

Select the QBMM advection Courant number.

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

Select QBMM advection time integration scheme.

exit_on_non_real(service, version, mode, path)

Exit on non-realizable moments detection.

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_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.

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 bellow 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 bellow which the auxiliary quantities are considered negligible.
class advection_cfl(service, version, mode, path)#

Bases: TUIMethod

Select the QBMM advection Courant number.

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

Bases: TUIMethod

Select QBMM advection time integration scheme.

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

Bases: TUIMethod

Exit on non-realizable moments detection.

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_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 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 bellow 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 bellow which the auxiliary quantities are considered negligible.

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

Bases: TUIMenu

.

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.
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.