GeometryRefinement

class GeometryRefinement

Bases: Flow360BaseModel

Setting for refining surface elements for given Surface.

Example

>>> fl.GeometryRefinement(
...     faces=[geometry["face1"], geometry["face2"]],
...     geometry_accuracy=0.001*fl.u.m
... )

---

Attributes

name: str, optional

Default:

'Geometry refinement'

entities: EntityList[Surface, MirroredSurface, WindTunnelGhostSurface]

geometry_accuracy: LengthType.Positive, optional

The smallest length scale that will be resolved accurately by the surface meshing process.

Default:

None

preserve_thin_geometry: bool, optional

Flag to specify whether thin geometry features with thickness roughly equal to geometry_accuracy should be resolved accurately during the surface meshing process.

Default:

None

sealing_size: LengthType.NonNegative, optional

Threshold size below which all geometry gaps are automatically closed.

Default:

None

min_passage_size: LengthType.Positive, optional

Minimum passage size that hidden geometry removal can resolve for this face group. Internal regions connected by thin passages smaller than this size may not be detected. If not specified, the value is derived from geometry_accuracy and sealing_size.

Default:

None

Additional Constructors

classmethod from_file(filename)

Loads a Flow360BaseModel from .json, or .yaml file.

Parameters:

filename (str) – Full path to the .yaml or .json file to load the Flow360BaseModel from.

Returns:

An instance of the component class calling load.

Return type:

Flow360BaseModel

Example

>>> params = Flow360BaseModel.from_file(filename='folder/sim.json') 

Methods

help(methods=False)

Prints message describing the fields and methods of a Flow360BaseModel.

Parameters:

methods (bool = False) – Whether to also print out information about object’s methods.

Return type:

None

Example

>>> params.help(methods=True) 

to_file(filename, **kwargs)

Exports Flow360BaseModel instance to .json or .yaml file

Parameters:

filename (str) – Full path to the .json or .yaml or file to save the Flow360BaseModel to.

Return type:

None

Example

>>> params.to_file(filename='folder/flow360.json')