Solver settings objects#

Solver settings objects provide a natural way to access and modify Fluent solver settings and issue commands to be executed in the Fluent solver. An appropriate call to the launch_fluent() function returns an object whose interface directly exposes the root of the solver settings hierarchy.

New format for accessing solver settings objects#

To simplify the usage of Fluent solver settings and improve readability, you can now instantiate settings objects directly using a more intuitive syntax. This new approach allows for straightforward access to various settings without navigating through the hierarchical structure of the solver settings.

Example usage#

>>> import ansys.fluent.core as pyfluent
>>> solver = pyfluent.launch_fluent(mode=pyfluent.FluentMode.SOLVER)
>>> inlet1 = pyfluent.VelocityInlet(settings_source=solver, name="inlet-1")

This format provides a more natural way to create and interact with settings objects, making your code easier to read and maintain. By abstracting the underlying hierarchy, users can focus on the specific settings they need without dealing with potential changes in the Fluent API structure.

Accessing solver settings#

Following the introduction of the new format, the traditional method remains available for those who prefer the existing hierarchy.

>>> file = solver.settings.file
>>> setup = solver.settings.setup
>>> solution = solver.settings.solution
>>> results = solver.settings.results

Types of settings objects#

A settings object can be one of the primitive types: Integer, Real, String, and Boolean. A settings object can also be one of the three types of container objects: Group, NamedObject, and ListObject.

  • The Group type is a static container with predefined child objects that can be accessed as attributes. For example, using the expression solver.settings.setup.models.energy, which resolves to energy, which is a child of models, which itself is a child of setup, and each of those three objects is a Group. The names of the child objects of a group can be accessed via <Group>.child_names.

  • The NamedObject type is a container holding dynamically created named objects. For a given NamedObject container, each contained object is of the same specific type. A given named object can be accessed using the index operator. For example, solver.settings.setup.boundary_conditions.velocity_inlet['inlet2'] yields a velocity_inlet object with the name inlet2, assuming it exists. The current list of named object children can be accessed via <NamedObject>.get_object_names().

  • The ListObject type is a container holding dynamically created unnamed objects of its specified child type (accessible via a child_object_type attribute) in a list. Children of a ListObject object can be accessed using the index operator. For example, solver.settings.setup.cell_zone_conditions.fluid['fluid-1'].source_terms['mass'][2] refers to the third (starting from index 0) mass source entry for the fluid zone named fluid-1. The current number of child objects can be accessed with the get_size() method.

Object state#

You can access the state of any object by “calling” it. This returns the state of the children as a dictionary for Group and NamedObject types or as a list for ListObject types:

>>> import ansys.fluent.core as pyfluent
>>> viscous = pyfluent.Viscous(settings_source=solver)
>>> viscous.model()
'k-epsilon-standard'

>>> import ansys.fluent.core as pyfluent
>>> energy = pyfluent.Energy(settings_source=solver)
>>> from pprint import pprint
>>> pprint (energy(), width=1)
{'enabled': True,
 'inlet_diffusion': True,
 'kinetic_energy': False,
 'pressure_work': False,
 'viscous_dissipation': False}
>>> inlet1 = pyfluent.VelocityInlet(settings_source=solver, name="inlet1")
>>> inlet1.vmag.constant()
10.0

To modify the state of any object, you can assign the corresponding attribute in its parent object. This assignment can be done at any level. For Group and NamedObject types, the state value is a dictionary. For the ListObject type, the state value is a list.

>>> import ansys.fluent.core as pyfluent
>>> viscous = pyfluent.Viscous(settings_source=solver)
>>> viscous.model = 'laminar'
>>> energy = pyfluent.Energy(settings_source=solver)
>>> energy = { 'enabled' : False }
>>> inlet1 = pyfluent.VelocityInlet(settings_source=solver, name="inlet1")
>>> inlet1.vmag.constant = 14

You can also access the state of an object with the get_state() method and modify it with the set_state() method.

Real and RealList settings objects can incorporate units alongside values. If an object supports units, you can retrieve its value and units as an ansys.units.Quantity object using the as_quantity() method. Alternatively, you can obtain the same information as a tuple by calling the state_with_units() method. You can call the state_with_units() method on a container object. It returns a dictionary where relevant values are represented as tuples containing the value and units.

Both ansys.units.Quantity objects and value-unit tuples can be used with the set_state() method of Real or RealList objects.

>>> diam_obj = hydraulic_diameter.as_quantity()
>>> diam_tup = hydraulic_diameter.state_with_units()
>>> assert diam_tup == (diam_obj.value, diam_obj.units.name)
>>> hydraulic_diameter.set_state(2.0 * diam_obj)
>>> assert hydraulic_diameter.units == diam_obj.units

You can print the current state in a simple text format with the print_state method. For example, assume you entered:

>>> import ansys.fluent.core as pyfluent
>>> models = pyfluent.Models(settings_source=solver)
>>> models.print_state()

The following output is returned:

viscous :
  k_epsilon_model : standard
  near_wall_treatment : standard-wall-fn?
  model : k-epsilon-standard
  options :
    viscous_heating : False
    curvature_correction : False
    production_kato_launder : False
    production_limiter : False
energy :
  enabled : True
  pressure_work : False
  viscous_dissipation : False
  inlet_diffusion : True
  kinetic_energy : False
multiphase :
  number_of_phases : 0
  models : none

Commands#

Commands are methods of settings objects that you use to modify the state of the application. For example, the hybrid_initialize() method of solution.initialization initializes the solution using the hybrid initialization method. The command_names attribute of a settings object provides the names of its commands.

If keyword arguments are needed, you can use commands to pass them. To access a list of valid arguments, use the arguments attribute. If you do not specify an argument, its default value is used. Arguments are also settings objects and can be of either primitive or container type.

Additional metadata#

Settings object methods are provided to access some additional metadata. There are a number of explicit methods and two generic methods: get_attr() and get_attrs().

The following examples access the list of allowed values for a particular state of the viscous model. All string and string list objects have an allowed_values() method, which returns a list of allowed string values if such a constraint currently applies for that object or returns None otherwise.

>>> import ansys.fluent.core as pyfluent
>>> viscous = pyfluent.Viscous(settings_source=solver)
>>> viscous.model.allowed_values()
['inviscid', 'laminar', 'k-epsilon-standard', 'k-omega-standard', 'mixing-length', 'spalart-allmaras', 'k-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']

>>> import ansys.fluent.core as pyfluent
>>> viscous = pyfluent.Viscous(settings_source=solver)
>>> viscous.model.get_attr('allowed-values')
['inviscid', 'laminar', 'k-epsilon-standard', 'k-omega-standard', 'mixing-length', 'spalart-allmaras', 'k-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']

>>> import ansys.fluent.core as pyfluent
>>> viscous = pyfluent.Viscous(settings_source=solver)
>>> viscous.model.get_attrs(['allowed-values'])
{'allowed-values': ['inviscid', 'laminar', 'k-epsilon', 'k-omega', 'mixing-length', 'spalart-allmaras', 'k-kl-w', 'transition-sst', 'reynolds-stress', 'scale-adaptive-simulation', 'detached-eddy-simulation', 'large-eddy-simulation']}

These examples accesses the list of zone surfaces:

>>> root.solution.report_definitions.flux["mass_flow_rate"] = {}
>>> root.solution.report_definitions.flux[
        "mass_flow_rate"
    ].zone_names.allowed_values()
['symmetry-xyplane', 'hot-inlet', 'cold-inlet', 'outlet', 'wall-inlet', 'wall-elbow', 'interior--elbow-fluid']

>>> root.solution.report_definitions.flux["mass_flow_rate"] = {}
>>> root.solution.report_definitions.flux[
        "mass_flow_rate"
    ].zone_names.get_attr("allowed-values")
['symmetry-xyplane', 'hot-inlet', 'cold-inlet', 'outlet', 'wall-inlet', 'wall-elbow', 'interior--elbow-fluid']

>>> root.solution.report_definitions.flux["mass_flow_rate"] = {}
>>> root.solution.report_definitions.flux[
        "mass_flow_rate"
    ].zone_names.get_attrs(["allowed-values"])
{'allowed-values': ['symmetry-xyplane', 'hot-inlet', 'cold-inlet', 'outlet', 'wall-inlet', 'wall-elbow', 'interior--elbow-fluid']}

The following table contains metadata names, corresponding methods to access this metadata, whether the method can return None, applicable object types, and returned data types:

Metadata name

Method

Can return None

Type applicability

Metadata type

is-active?

is_active

no

all

bool

is-read-only?

is_read_only

no

all

bool

default-value

default

yes

all primitives

type of primitive

allowed-values

allowed_values

yes

str, str list

str list

min

min

yes

int, float

int or float

max

max

yes

int, float

int or float

Using the get_attr() method requires knowledge of metadata names, their applicability, and the ability to interpret the raw values of the metadata. You can avoid all these issues by using the explicitly named methods. Note also that the metadata is dynamic, which means values can change based on the application state. A None value signifies that no value is currently designated for this metadata.

This simple example shows you how to use a number of these explicit metadata access methods in a single solver session:

>>> import ansys.fluent.core as pyfluent
>>> from ansys.fluent.core import examples
>>> from pprint import pprint
>>> import_file_name = examples.download_file("mixing_elbow.msh.h5", "pyfluent/mixing_elbow")
>>> solver = pyfluent.launch_fluent(mode=pyfluent.FluentMode.SOLVER)
>>> solver.settings.file.read(file_type="case", file_name=import_file_name)
Fast-loading...
...Done
>>> viscous = pyfluent.Viscous(settings_source=solver)
>>> viscous.is_active()
True
>>> viscous.model.is_read_only()
False
>>> viscous.model.default_value()
>>> pprint(viscous.model.allowed_values(), width=1)
['inviscid',
 'laminar',
 'k-epsilon',
 'k-omega',
 'mixing-length',
 'spalart-allmaras',
 'k-kl-w',
 'transition-sst',
 'reynolds-stress',
 'scale-adaptive-simulation',
 'detached-eddy-simulation',
 'large-eddy-simulation']
>>> cold_inlet = pyfluent.VelocityInlet(settings_source=solver, name="cold-inlet")
>>> cold_inlet.turb_intensity.min()
0
>>> cold_inlet.turb_intensity.max()
1

Active objects and commands#

Objects and commands can be active or inactive based on the application state. The is_active() method returns True if an object or command is currently active.

The get_active_child_names() method returns a list of active children:

>>> import ansys.fluent.core as pyfluent
>>> models = pyfluent.Models(settings_source=solver)
>>> models.get_active_child_names()
['energy', 'multiphase', 'viscous']

The get_active_command_names() method returns the list of active commands:

>>> solver.settings.solution.run_calculation.get_active_command_names()
['iterate']

Wildcards#

You can use wildcards when using named objects, list objects, and string list settings. For named objects and list objects, for instance:

>>> import ansys.fluent.core as pyfluent
>>> fluid = pyfluent.FluidCellZone(settings_source=solver, name="*")
>>> fluid.source_terms["*mom*"]()
{'fluid': {'source_terms': {'x-momentum': [], 'y-momentum': [], 'z-momentum': []}}}

Also, when you have one or more velocity inlets with “inlet” in their names:

>>> import ansys.fluent.core as pyfluent
>>> inlet = pyfluent.VelocityInlet(settings_source=solver, name="*inlet*")
>>> inlet.vmag()
{'velo-inlet_2': {'vmag': {'option': 'value', 'value': 50}},
'velo-inlet_1': {'vmag': {'option': 'value', 'value': 35}}

For string lists with allowed values, for instance:

>>> solver.results.graphics.contour['contour-1'].surfaces_list = 'in*'

sets surfaces_list to all matches of surface names starting with in, so when you prompt for the list of surfaces:

>>> solver.results.graphics.contour['contour-1'].surfaces_list()
['in1', 'in2']

The following list summarizes common wildcards:

  • * indicates zero or more occurrences of the preceding element. For example, 'in*' lists only items starting with “in” such as in1 and in2, whereas in lists only items that have the string “in” within the name.

  • ? substitutes for a single unknown character. For example, 'gr?y' would list “grey” and “gray”.

  • [] indicates a range of numbers or characters at the beginning of a string. For example, '[to]' would match anything starting with “t” and anything starting with “o” in the name. Using '[a-z]' would match anything starting with a character between “a” and “z” inclusively, or using '[0-9]' would match the initial character with any number between “0” and “9” inclusively.

  • ^ indicates a Boolean NOT function, or negation. For example, '^*in*' would list anything not containing “in”.

  • | indicates a Boolean OR function. For example, '*part*|*solid*' would list anything containing either “part” or “solid” such as “part2-solid-1”, “part2-solid-2”, “part-3”, “solid”, and “solid-1”.

  • & indicates a Boolean AND function. For example, '*part*&*solid*' would list anything containing both “part” and “solid” such as “part2-solid-1” and “part2-solid-2”.