ThermallyPerfectGas

class ThermallyPerfectGas

Bases: Flow360BaseModel

Multi-species thermally perfect gas model.

Combines NASA 9-coefficient polynomials from multiple species weighted by mass fraction. All species must use the same temperature range boundaries. The mixture properties are computed as mass-fraction-weighted averages of individual species properties.

This model supports temperature-dependent specific heats (cp) while maintaining fixed mass fractions (non-reacting flow).

Example

>>> fl.ThermallyPerfectGas(
...     species=[
...         fl.FrozenSpecies(name="N2", nasa_9_coefficients=..., mass_fraction=0.7555),
...         fl.FrozenSpecies(name="O2", nasa_9_coefficients=..., mass_fraction=0.2316),
...         fl.FrozenSpecies(name="Ar", nasa_9_coefficients=..., mass_fraction=0.0129),
...     ]
... )

---

Attributes

species: list[FrozenSpecies]

List of species with their NASA 9 coefficients and mass fractions. Mass fractions must sum to 1.0.

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')