HeatEquationSolver#
- class HeatEquationSolver[source]#
Bases:
GenericSolverSettingsHeatEquationSolverclass for setting up heat equation solver.Example
>>> fl.HeatEquationSolver( ... equation_evaluation_frequency=10, ... linear_solver_config=LinearSolver( ... max_iterations=50, ... absoluteTolerance=1e-10 ... ) ... )
Attributes
- absolute_tolerance: float#
Absolute residual tolerance that determines the convergence of the heat equation in conjugate heat transfer. This value should be the same or higher than the absolute tolerance for the linear solver by a small margin.
- Default:
1e-09
- relative_tolerance: float#
Tolerance to the relative residual, below which the solver goes to the next physical step. Relative residual is defined as the ratio of the current pseudoStep’s residual to the maximum residual present in the first 10 pseudoSteps within the current physicalStep. NOTE: relativeTolerance is ignored in steady simulations and only absoluteTolerance is used as the convergence criterion.
- Default:
0
- equation_evaluation_frequency: int#
Frequency at which to solve the heat equation in conjugate heat transfer simulations.
- Default:
10
- linear_solver: LinearSolver#
Linear solver settings, see
LinearSolverdocumentation.- Default:
LinearSolver()
Additional Constructors
- classmethod from_file(filename)#
Loads a
Flow360BaseModelfrom .json, or .yaml file.- Parameters:
filename (str) – Full path to the .yaml or .json file to load the
Flow360BaseModelfrom.- 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)