Module “additive_manufacturing”¶

class tc_python.am.AdditiveManufacturingCalculation(calculation)¶

Bases: object

Abstract base class for an Additive Manufacturing calculation.

disable_fluid_flow_marangoni()¶

Disables the fluid flow modelling of the Marangoni effect.

Default: Enabled

Returns:: This AdditiveManufacturingCalculation object

disable_separate_materials()¶

Disables separate material properties for powder and solid material.

Default: Disabled

Returns:: This AdditiveManufacturingCalculation object

enable_fluid_flow_marangoni()¶

Enables the fluid flow modelling of the Marangoni effect.

Default: Enabled

Note

This option is not possible to use in conjunction with the option separate material, which is therefore automatically disabled.

Returns:: This AdditiveManufacturingCalculation object

enable_separate_materials()¶

Enables separate material properties for powder and solid material.

Default: Disabled

Note

This option is not possible to use in conjunction with the option Marangoni fluid flow, which is therefore automatically disabled.

Returns:: This AdditiveManufacturingCalculation object

get_configuration_as_string() → str¶: Returns detailed information about the current state of the calculation object.

Warning

The structure of the calculation objects is an implementation detail and might change between releases without notice. Therefore do not rely on the internal object structure.

invalidate()¶: Invalidates the object and frees the disk space used by it. This is only required if the disk space occupied by the object needs to be released during the calculation. No data can be retrieved from the object afterward.

set_ambient_temperature(temperature: float = 296.15)¶

Sets the ambient temperature.

Default: 23 degree Celsius

Parameters:: temperature – The ambient temperature [K]
Returns:: This AdditiveManufacturingCalculation object

set_base_plate_temperature(temperature: float = 303.15)¶

Sets the baseplate temperature.

Default: 30 degree Celsius

Parameters:: temperature – The baseplate temperature [K]
Returns:: This AdditiveManufacturingCalculation object

set_gas_pressure(pressure: float = 100000.0)¶

Sets the gas pressure.

Default: 1.0e5 Pa

Parameters:: pressure – The pressure [Pa]
Returns:: This AdditiveManufacturingCalculation object

set_height(height: float = 0.002)¶

Sets the height of the simulation domain.

Default: 2.0e-3 m

Parameters:: height – The height [m]
Returns:: This AdditiveManufacturingCalculation object

set_layer_thickness(layer_thickness: float = 4e-05)¶

Sets the layer thickness.

Default: 40.0e-6 m

Parameters:: layer_thickness – The layer thickness [m]
Returns:: This AdditiveManufacturingCalculation object

set_powder_density(powder_density: float = 80.0)¶

Sets the powder density.

Default: 80.0%

Parameters:: powder_density – The powder density [%]
Returns:: This AdditiveManufacturingCalculation object

with_heat_source(heat_source: HeatSource)¶

Sets the heat source.

Parameters:: heat_source – The heat source
Returns:: This AdditiveManufacturingCalculation object

with_material_properties(material_properties: MaterialProperties)¶

Sets the material properties.

Tip

Material properties can be defined like this: MaterialProperties.from_library("IN718") or MaterialProperties.from_scheil_result(scheil_result).

Parameters:: material_properties – The material properties
Returns:: This AdditiveManufacturingCalculation object

with_mesh(mesh: Mesh)¶

Sets the mesh.

Parameters:: mesh – The mesh
Returns:: This AdditiveManufacturingCalculation object

with_numerical_options(numerical_options: NumericalOptions)¶

Sets the numerical options.

Parameters:: numerical_options – The numerical options
Returns:: This AdditiveManufacturingCalculation object

with_top_boundary_conditions(boundary_conditions: TopBoundaryConditions)¶

Sets the boundary conditions.

Parameters:: boundary_conditions – The boundary conditions
Returns:: This AdditiveManufacturingCalculation object

class tc_python.am.AdditiveManufacturingResult(result)¶

Bases: AbstractResult

Base class for additive manufacturing results.

get_data_over_line(name: str, point1: List[float], point2: List[float], n: int) → Tuple[List[float], List[float]]¶: Obtains the data of property name over a line from point1 to point2 :param name: The name of property to obtain the data from :param point1: The first point of the line :param point2: The second point of the line :param n: The number of points to obtain :return: A tuple (distance to point 1 [m], data value)

get_pyvista_mesh(scalar: Scalar = Scalar.TEMPERATURE, material_type: MaterialType = MaterialType.SHOW_ALL)¶

Returns a pyvista mesh object that can be added to a pyvista plotter.

More details about pyvista meshes can be found in their documentation: https://docs.pyvista.org/version/stable/api/plotting/_autosummary/pyvista.Plotter.add_mesh.html

Tip

This method is typically used to obtain additional meshes with other settings if the plot object has already been retrieved with get_pyvista_plotter().

Parameters:

scalar – The quantity to be visualized in the plot
material_type – The material type to be visualized in the plot

Returns:

A pyvista.DataSet object

get_pyvista_plotter(scalar: Scalar = Scalar.TEMPERATURE, material_type: MaterialType = MaterialType.SHOW_ALL, camera: Optional[Dict[str, List[float]]] = None, anti_aliasing: str = 'msaa', multi_samples: int = 16, color_map: str = 'jet', enable_camera_orientation_widget: bool = False, render_lines_as_tubes: bool = True, background: str = 'LightSteelBlue', shape: Optional[bool] = None, view_buttons: bool = True, update_plot_callback: Optional[Callable] = None)¶

Returns a pyvista plotter and a mesh object containing the data from this result. They can be used to create 3D-plots visualizing the results of the AM calculation. More details about the pyvista settings can be found in their documentation: https://docs.pyvista.org/version/stable/api/plotting/_autosummary/pyvista.Plotter.html

The most simple usage of this method is:

plotter, mesh = result.get_pyvista_plotter()
plotter.add_mesh(mesh)
plotter.show()

Parameters:

scalar – The quantity to be visualized in the plot
material_type – The material type to be visualized in the plot, only available if AdditiveManufacturingCalculation.enable_separate_materials() has been used
camera – Defining the camera position, view-up vector and focus point, the default is DEFAULT_CAMERA, for example: {‘position’: [-2, -2, 1], ‘viewup’: [0, 0, 1], ‘focal_point’: [0.0, 0.0, 0.0]}. More details can be found here: https://docs.pyvista.org/version/stable/api/core/camera.html
anti_aliasing – The pyvista antialiasing setting, can be one of: “msaa” - Multi-Sample Anti-Aliasing, “fxaa” - Fast Approximate Anti-Aliasing or “ssaa” - Super-Sample Anti-Aliasing. More details can be found here: https://docs.pyvista.org/version/stable/examples/02-plot/anti-aliasing.html
multi_samples – The number of samples used for antialiasing
color_map – The pyvista colormap. Can be any colormap provided by Matplotlib and some other plotting libraries. More details can be found here: https://docs.pyvista.org/version/stable/examples/02-plot/cmap.html
enable_camera_orientation_widget – Enables the pyvista camera orientation widget in the plotter
render_lines_as_tubes – Controls if lines are rendered as tubes
background – The pyvista background color, either a string, rgb list or hex color string. https://docs.pyvista.org/version/stable/api/plotting/_autosummary/pyvista.Plotter.background_color.html
shape – The shape of the plot, i.e. how many subplots will be created - a tuple (y, x), for example (2, 2). They are accessed using pyvista.Plotter.subplot.
view_buttons – If buttons for quick navigation between camera and x-, y-, or z-direction view should be added to the plot
update_plot_callback – A plot update function that will be called every time the slider with simulation time is dragged in the plot windows, this can be used to dynamically apply changes to the plot, required syntax: def update_plot(plotter: pv.Plotter, mesh: pv.DataSet)

Returns:

Tuple containing the pyvista.Plotter and the pyvista.DataSet mesh object

get_result_file_path() → str¶

Returns the path to the main result file (for example a ParaView *.pvd file) on disk containing the complete result data set. Its directory contains also further result data that can be useful.

Tip

The Python API of ParaView can be used to extract any kind of data from the result in a programmatic way. See here for more details: https://kitware.github.io/paraview-docs/latest/python/

Returns:: The path to the main result file

get_thermal_gradient_and_melting_rate() → List[List[float]]¶: Evaluate the thermal gradient and melting rate at the liquidus isotherm :return [[Thermal gradient], [melting rate], [x], [y], [z]]

get_thermal_gradient_and_solidification_rate() → List[List[float]]¶: Evaluate the thermal gradient and solidification rate at the liquidus isotherm :return [[Thermal gradient], [solidification rate], [x], [y], [z]]

class tc_python.am.Automatic¶

Bases: FileSavingStrategy

An automatic saving strategy.

get_type() → str¶

Returns the type of the file saving strategy.

Returns:: The type

set_max_number_of_files_stored(max_number: int = 1000000)¶

Sets the maximum number of files that are stored.

Default: unlimited

Parameters:: max_number – The maximum number of files that is stored
Returns:: This FileSavingStrategy object

set_saving_interval_strategy(saving_interval_strategy=AutomaticSavingIntervalStrategy.LINEAR)¶

Sets the saving interval strategy.

Default: A linear saving interval strategy.

Parameters:: saving_interval_strategy – The saving interval strategy
Returns:: This FileSavingStrategy object

store_unlimited_number_of_files()¶

Sets the maximum number of files that are stored to unlimited.

Returns:: This FileSavingStrategy object

class tc_python.am.AutomaticSavingIntervalStrategy(value)¶

Bases: Enum

The strategy for choosing the time interval for saving files in automatic mode.

EXPONENTIALLY_INCREASING = 2¶: An exponentially increasing time interval

LINEAR = 1¶: A linear time interval

class tc_python.am.BiDirectionalScanningStrategy¶

Bases: ScanningStrategy

A bidirectional scanning strategy (flipping scanning direction of the heat source between alternate tracks).

get_type() → str¶

Returns the type of scanning strategy.

Returns:: The type

set_angle(angle: float = 0.0)¶

Sets the rotation of the scanning direction between two consecutive layers.

Note

The scanning direction of the first layer is always aligned parallel to the x-axis.

Default: 0 degree

Parameters:: angle – The angle [degree]
Returns:: This BiDirectionalScanningStrategy object

set_hatch_spacing(hatch_spacing: float = 0.0)¶

Sets the horizontal separation between two consecutive tracks.

Default: 0 m

Parameters:: hatch_spacing – The hatch spacing [m]
Returns:: This BiDirectionalScanningStrategy object

set_lift_time(lift_time: float = 0.0)¶

Sets the lift time, i.e. the time between two tracks where the heat source is inactive.

Default: 0 s

Parameters:: lift_time – The lift time [s]
Returns:: This BiDirectionalScanningStrategy object

set_margin(margin: float = 0.001)¶

Sets the margin.

This is the offset of the scanning path from the sides of the computational domain.

Default: 1.0e-3 [m]

Parameters:: margin – The margin [m]
Returns:: This BiDirectionalScanningStrategy object

set_number_of_layers(number_of_layers: int = 1)¶

Sets the number of layers.

Default: 1

Parameters:: number_of_layers – The number of layers
Returns:: This BiDirectionalScanningStrategy object

set_powder_fill_time(powder_fill_time: float = 0.0)¶

Sets the powder fill time.

Default: 0 s

Parameters:: powder_fill_time – The powder fill time [s]
Returns:: This BiDirectionalScanningStrategy object

class tc_python.am.CalculatedGaussianHeatSource(absorptivity_factor: float = 1.0, wave_length: float = 1064.0)¶

Bases: object

A Gaussian heat source (with calculated absorptivity)

disable_keyhole_model()¶

Disables using a keyhole model in the simulation.

Returns:: This GaussianHeatSource object

static get_type() → str¶

Returns the type of heat source.

Returns:: The type

set_absorptivity_pre_factor(pre_factor: float = 1)¶

Parameters:: pre_factor – The absorptivity prefactor value to set, default is 1.
Returns:: This GaussianHeatSource object

set_beam_radius(beam_radius: float = 0.00011)¶

Sets the beam radius.

Default: 110.0e-6 m

Parameters:: beam_radius – The beam radius [m]
Returns:: This GaussianHeatSource object

set_power(power: float = 120.0)¶

Sets the power of the heat source.

Default: 120 W

Parameters:: power – The power [W]
Returns:: This GaussianHeatSource object

set_scanning_speed(beam_speed: float = 0.5)¶

Sets the moving velocity of the heat source.

Default: 500.0e-3 m/s

Parameters:: beam_speed – The beam speed [m/s]
Returns:: This GaussianHeatSource object

set_wave_length(wave_length: float = 1064)¶

Parameters:: wave_length – The wavelength to be set for the heat source, defaults to 1064 nm.
Returns:: This GaussianHeatSource objectT

with_keyhole_model(config: KeyholeModel)¶

Sets the keyhole model applied in the simulation.

Default: None

Parameters:: config – The keyhole model
Returns:: This GaussianHeatSource object

class tc_python.am.CalibratedConicalHeatSource(java_calibrated_heat_source)¶

Bases: object

A calibrated conical heat source.

get_absorptivity() → float¶

Returns the absorptivity of the heat source.

Returns:: The absorptivity [%]

get_hi() → float¶

Returns the Hi dimension of the heat source.

Returns:: The Hi dimension [micrometer]

get_re() → float¶

Returns the Re dimension of the heat source.

Returns:: The Re dimension [micrometer]

get_ri() → float¶

Returns the Ri dimension of the heat source.

Returns:: The Ri dimension [micrometer]

get_type() → HeatSourceType¶

Returns the type of heat source.

Returns:: The type

set_power(power: float = 120.0)¶

Sets the power of the heat source.

Default: 120 W

Parameters:: power – The power [W]
Returns:: This CalibratedConicalHeatSource object

set_scanning_speed(beam_speed: float = 0.5)¶

Sets the moving velocity of the heat source.

Default: 500.0e-3 m/s

Parameters:: beam_speed – The beam speed [m/s]
Returns:: This CalibratedConicalHeatSource object

class tc_python.am.CalibratedDoubleEllipsoidalHeatSource(java_calibrated_heat_source)¶

Bases: object

A calibrated double-ellipsoidal heat source.

get_absorptivity() → float¶

Returns the absorptivity of the heat source.

Returns:: The absorptivity [%]

get_af() → float¶

Returns the Af dimension of the heat source.

Returns:: The Af dimension [micrometer]

get_ar() → float¶

Returns the Ar dimension of the heat source.

Returns:: The Ar dimension [micrometer]

get_b() → float¶

Returns the B dimension of the heat source.

Returns:: The B dimension [micrometer]

get_c() → float¶

Returns the C dimension of the heat source.

Returns:: The C dimension [micrometer]

get_type() → HeatSourceType¶

Returns the type of heat source.

Returns:: The type

set_power(power: float = 120.0)¶

Sets the power of the heat source.

Default: 120 W

Parameters:: power – The power [W]
Returns:: This CalibratedConicalHeatSource object

set_scanning_speed(beam_speed: float = 0.5)¶

Sets the moving velocity of the heat source.

Default: 500.0e-3 m/s

Parameters:: beam_speed – The beam speed [m/s]
Returns:: This CalibratedDoubleEllipsoidalHeatSource object

class tc_python.am.CalibratedGaussianHeatSource(java_calibrated_heat_source)¶

Bases: object

A calibrated Gaussian heat source.

get_absorptivity() → float¶

Returns the absorptivity of the heat source.

Returns:: The absorptivity [%]

get_absorptivity_prefactor() → float¶

Returns the absorptivity prefactor value of the calibrated heat source.

Returns:: The absorptivity [%]

get_beam_radius() → float¶

Returns the beam radius of the heat source.

Returns:: The beam radius [micrometer]

get_type() → HeatSourceType¶

Returns the type of heat source.

Returns:: The type

set_power(power: float = 120.0)¶

Sets the power of the heat source.

Default: 120 W

Parameters:: power – The power [W]
Returns:: This CalibratedGaussianHeatSource object

set_scanning_speed(beam_speed: float = 0.5)¶

Sets the moving velocity of the heat source.

Default: 500.0e-3 m/s

Parameters:: beam_speed – The beam speed [m/s]
Returns:: This CalibratedGaussianHeatSource object

class tc_python.am.CalibratedHeatSource¶

Bases: HeatSource

A calibrated heat source.

abstract set_power(power: float = 120.0)¶

Sets the power of the heat source.

Default: 120 W

Parameters:: power – The power [W]
Returns:: This CalibratedHeatSource object

abstract set_scanning_speed(beam_speed: float = 0.5)¶

Sets the moving velocity of the heat source.

Default: 500.0e-3 m/s

Parameters:: beam_speed – The beam speed [m/s]
Returns:: This CalibratedHeatSource object

class tc_python.am.CoarseMesh¶

Bases: Mesh

An initially coarse mesh.

Note

It is adaptive and will be automatically refined as required.

class tc_python.am.ConicalHeatSource¶

Bases: object

A conical heat source.

get_type() → str¶

Returns the type of heat source.

Returns:: The type

set_absorptivity(absorptivity: float = 60.0)¶

Sets the absorptivity.

Default: 60%

Parameters:: absorptivity – The absorptivity [%]
Returns:: This ConicalHeatSource object

set_hi(hi_dim: float = 0.0001)¶

Sets the parameter Hi that defines the dimensions of the heat source.

Tip

See Thermo-Calc Online Help for details about this heat source model.

Default: 100.0e-6 m

Parameters:: hi_dim – The Hi parameter [m]
Returns:: This ConicalHeatSource object

set_power(power: float = 120.0)¶

Sets the power of the heat source.

Default: 120 W

Parameters:: power – The power [W]
Returns:: This ConicalHeatSource object

set_re(re_dim: float = 0.0001)¶

Sets the parameter Re that defines the dimensions of the heat source.

Tip

See Thermo-Calc Online Help for details about this heat source model.

Default: 100.0e-6 m

Parameters:: re_dim – The Re parameter [m]
Returns:: This ConicalHeatSource object

set_ri(ri_dim: float = 6e-05)¶

Sets the parameter Ri that defines the dimensions of the heat source.

Tip

See Thermo-Calc Online Help for details about this heat source model.

Default: 60.0e-6 m

Parameters:: ri_dim – The Ri parameter [m]
Returns:: This ConicalHeatSource object

set_scanning_speed(beam_speed: float = 0.5)¶

Sets the moving velocity of the heat source.

Default: 500.0e-3 m/s

Parameters:: beam_speed – The beam speed [m/s]
Returns:: This ConicalHeatSource object

class tc_python.am.CustomMesh(minimum_element_size: float = 1e-05, maximum_element_size: float = 0.0001)¶

Bases: Mesh

An initial mesh with explicitly defined dimensions.

Note

It is adaptive and will be automatically refined as required.

Parameters:

minimum_element_size – The minimum element size [m]
maximum_element_size – The maximum element size [m]

tc_python.am.DEFAULT_CAMERA = {'position': [-2, -2, 1], 'viewup': [0, 0, 1]}¶: The default pyvista camera view.

class tc_python.am.DoubleEllipsoidalHeatSource¶

Bases: object

A double ellipsoidal heat source.

get_type() → str¶

Returns the type of heat source.

Returns:: The type

set_absorptivity(absorptivity: float = 60.0)¶

Sets the absorptivity.

Default: 60%

Parameters:: absorptivity – The absorptivity [%]
Returns:: This DoubleEllipsoidalHeatSource object

set_af(af: float = 7e-05)¶

Sets the parameter Af that defines the dimensions of the heat source.

Tip

See Thermo-Calc Online Help for details about this heat source model.

Default: 70.0e-6 m

Parameters:: af – The Af parameter [m]
Returns:: This DoubleEllipsoidalHeatSource object

set_ar(ar: float = 70.0)¶

Sets the parameter Ar that defines the dimensions of the heat source.

Tip

See Thermo-Calc Online Help for details about this heat source model.

Default: 70.0e-6 m

Parameters:: ar – The Ar parameter [m]
Returns:: This DoubleEllipsoidalHeatSource object

set_b(b: float = 8.5e-05)¶

Sets the parameter B that defines the dimensions of the heat source.

Tip

See Thermo-Calc Online Help for details about this heat source model.

Default: 85.0e-6 m

Parameters:: b – The B parameter [m]
Returns:: This DoubleEllipsoidalHeatSource object

set_c(c: float = 0.0002)¶

Sets the parameter C that defines the dimensions of the heat source.

Tip

See Thermo-Calc Online Help for details about this heat source model.

Default: 200.0e-6 m

Parameters:: c – The C parameter [m]
Returns:: This DoubleEllipsoidalHeatSource object

set_power(power: float = 120.0)¶

Sets the power of the heat source.

Default: 120 W

Parameters:: power – The power [W]
Returns:: This DoubleEllipsoidalHeatSource object

set_scanning_speed(beam_speed: float = 0.5)¶

Sets the moving velocity of the heat source.

Default: 500.0e-3 m/s

Parameters:: beam_speed – The beam speed [m/s]
Returns:: This DoubleEllipsoidalHeatSource object

class tc_python.am.EveryNthTimeStep¶

Bases: FileSavingStrategy

Saving at every n-th time step.

get_type() → str¶

Returns the type of the file saving strategy.

Returns:: The type

set_n(n: int = 1)¶

Sets at which n-th time step files are saved.

Default: 1

Parameters:: n – The n-th time step where files are saved
Returns:: This FileSavingStrategy object

class tc_python.am.EveryTimeInterval¶

Bases: FileSavingStrategy

Saving after regular time intervals.

get_type() → str¶

Returns the type of the file saving strategy.

Returns:: The type

set_time_interval(time_interval: float = 0.01)¶

Sets the time interval at which files are saved.

Default: 0.01 s

Parameters:: time_interval – The time interval [s]
Returns:: This FileSavingStrategy object

class tc_python.am.FileSavingStrategy¶

Bases: object

The strategy for how result files are saved on disk. Both the number and time point of saving can be controlled.

classmethod automatic()¶: An automatic saving strategy. This is the default.

classmethod every_n_th_time_step()¶: Saving at every n-th time step.

classmethod every_time_interval()¶: Saving after regular time intervals.

class tc_python.am.FineMesh¶

Bases: Mesh

An initially fine mesh.

Note

It is adaptive and will be automatically refined as required.

class tc_python.am.GaussianHeatSource(absorptivity: float = 60.0)¶

Bases: object

A Gaussian heat source.

disable_keyhole_model()¶

Disables using a keyhole model in the simulation.

Returns:: This GaussianHeatSource object

get_type() → str¶

Returns the type of heat source.

Returns:: The type

set_absorptivity(absorptivity: float = 60.0)¶

Sets the absorptivity as a constant.

Default: 60%

Parameters:: absorptivity – The absorptivity [%]
Returns:: This GaussianHeatSource object

set_beam_radius(beam_radius: float = 0.00011)¶

Sets the beam radius.

Default: 110.0e-6 m

Parameters:: beam_radius – The beam radius [m]
Returns:: This GaussianHeatSource object

set_power(power: float = 120.0)¶

Sets the power of the heat source.

Default: 120 W

Parameters:: power – The power [W]
Returns:: This GaussianHeatSource object

set_scanning_speed(beam_speed: float = 0.5)¶

Sets the moving velocity of the heat source.

Default: 500.0e-3 m/s

Parameters:: beam_speed – The beam speed [m/s]
Returns:: This GaussianHeatSource object

with_keyhole_model(config: KeyholeModel)¶

Sets the keyhole model applied in the simulation.

Default: None

Parameters:: config – The keyhole model
Returns:: This GaussianHeatSource object

class tc_python.am.HeatSource¶

Bases: object

The heat source.

The heat source model has either a Gaussian, double ellipsoidal or conical distribution.

Default: A Gaussian heat source.

classmethod conical()¶

A conical heat source.

The default is a Gaussian heat source.

Returns:: A new ConicalHeatSource object

classmethod conical_from_library(heat_source_name: str, power: float = 120.0, beam_speed: float = 0.5)¶

Read a conical heat source given its name.

Tip

The available heat sources can be obtained using HeatSource.get_available_calibrated_heat_source_names(). Their types are then available with the method get_type() for each heat source.

Parameters:

heat_source_name – The name of the conical heat source to read
power – The beam power, default: 120 W [W]
beam_speed – The beam speed, default: 500e-3 m/s [m/s]

Returns:

A new CalibratedConicalHeatSource object

classmethod double_ellipsoidal()¶

A double ellipsoidal heat source.

The default is a Gaussian heat source.

Returns:: A new DoubleEllipsoidalHeatSource object

classmethod double_ellipsoidal_from_library(heat_source_name: str, power: float = 120.0, beam_speed: float = 0.5)¶

Read a double-ellipsoidal heat source given its name.

Tip

The available heat sources can be obtained using HeatSource.get_available_calibrated_heat_source_names(). Their types are then available with the method get_type() for each heat source.

Parameters:

heat_source_name – The name of the double-ellipsoidal heat source to read
power – The beam power, default: 120 W [W]
beam_speed – The beam speed, default: 500e-3 m/s [m/s]

Returns:

A new CalibratedDoubleEllipsoidalHeatSource object

classmethod from_library(heat_source_name: str, power: float = 120.0, beam_speed: float = 0.5)¶

Read a heat source given its name.

Tip

The available heat sources can be obtained using HeatSource.get_available_calibrated_heat_source_names(). Their types are then available with the method get_type() for each heat source.

Parameters:

heat_source_name – The name of the heat source to read
power – The beam power, default: 120 W [W]
beam_speed – The beam speed, default: 500e-3 m/s [m/s]

Returns:

A new CalibratedHeatSource object

classmethod gaussian()¶

A Gaussian heat source.

Returns:: A new GaussianHeatSource object

classmethod gaussian_from_library(heat_source_name: str, power: float = 120.0, beam_speed: float = 0.5)¶

Read a Gaussian heat source given its name.

Tip

The available heat sources can be obtained using HeatSource.get_available_calibrated_heat_source_names(). Their types are then available with the method get_type() for each heat source.

Parameters:

heat_source_name – The name of the Gaussian heat source to read
power – The beam power, default: 120 W [W]
beam_speed – The beam speed, default: 500e-3 m/s [m/s]

Returns:

A new CalibratedGaussianHeatSource object

classmethod gaussian_with_calculated_absorptivity(absorptivity_factor: float = 1.0, wave_length: float = 1064.0)¶

A gaussian heat source with calculated absorptivity.

Parameters:

absorptivity_factor – A factor that adjusts the absorptivity of the heat source. Default is 1.0.
wave_length – The wavelength is used for calculating absorptivity. Default is 1064.0 nm.

Returns:

A new CalculatedGaussianHeatSource object

classmethod gaussian_with_constant_absorptivity(absorptivity: float = 60.0)¶

A gaussian heat source with constant absorptivity.

Parameters:: absorptivity – A constant value for absorptivity. Default is 60.0 %.
Returns:: A new GaussianHeatSource object

classmethod gaussian_with_user_defined_function_absorptivity(function: str = '60')¶

A gaussian heat source with user defined function for absorptivity.

Parameters:: function – The user defined function string for absorptivity, which can be constant, or a function of temperature (T), e.g. -1.6e-7*T*T+2.5e-3*T+31.
Returns:: A new UserDefinedGaussianHeatSource object

classmethod get_available_calibrated_heat_source_names() → List[str]¶

Retrieves a list of available heat source names.

Tip

The heat sources can then be read using HeatSource.from_library().

Returns:: A list of strings representing the names of available heat sources

classmethod get_calibrated_heatsource_names() → List[str]¶

Returns a list of the names of the available calibrated heat sources.

The name can then be used with the function get_path_of_calibrated_heatsource().

Returns:: The list of names

classmethod get_path_of_calibrated_heatsource(optimized_heatsource_name: str) → str¶

Returns the file path of the calibrated heat source.

Parameters:: optimized_heatsource_name – The name of the calibrated heat source
Returns:: The file path

class tc_python.am.HeatSourceType(value)¶

Bases: Enum

An enumeration.

CONICAL = 2¶

DOUBLE_ELLIPSOIDAL = 1¶

GAUSSIAN = 0¶

class tc_python.am.KeyholeModel¶

Bases: object

A model for an “analytic” keyhole in the AM calculation.

set_rayleigh_length(rayleigh_length: float = 0.0025)¶

Sets the Rayleigh length.

Default: 2.5e-3 m

Parameters:: rayleigh_length – The Rayleigh length [m]
Returns:: This KeyholeModel object

class tc_python.am.LibraryMaterialProperties(library_name: str)¶

Bases: MaterialProperties

Material properties previously saved on disk using the specified library name.

class tc_python.am.MaterialProperties¶

Bases: object

The material properties used in the AM calculation, can be either from a Scheil calculation or from a previously stored library.

delete_library()¶: Deletes the material library from disk.

classmethod from_library(library_name: str)¶

Uses material properties previously saved on disk using a library name.

Parameters:: library_name – The library name
Returns:: A new LibraryMaterialProperties object

classmethod from_scheil_result(result: ScheilCalculationResult, interface_scattering_constant: float = 4e-08)¶

Creates material properties from the result of a Scheil calculation.

Parameters:

result – The Scheil result to create material properties from
interface_scattering_constant – Greater than zero to use the interface scattering

Returns:

A new ScheilMaterialProperties object

classmethod get_all_library_names() → List[str]¶

Returns a list with the names of all material libraries available on disk.

Returns:: A list with the names of all material libraries

get_average_material_property_in_range(material_property_enum: MaterialProperty, from_zone: Zone, to_zone: Zone) → float¶

Returns average values for the specified material property in the specified zone interval.

Parameters:

material_property_enum – The material property
from_zone – The lower zone boundary
to_zone – The upper zone boundary

Returns:

The average value for the specified material property in the specified zone interval

get_evaporation_temperature() → float¶

Returns the evaporation temperature for the material.

Returns:: The evaporation temperature [K]

get_liquidus_temperature() → float¶

Returns the liquidus temperature for the material.

Returns:: The liquidus temperature [K]

get_name() → str¶

Returns the name of the library.

Returns:: The name of the library

get_smoothed_values_for_material_property(material_property_enum: MaterialProperty) → [List[float], List[float]]¶

Returns smoothed values for the specified material property.

Parameters:: material_property_enum – The material property
Returns:: The temperature [K] and the values of the specified material property

get_smoothing_for(material_property_enum: MaterialProperty) → Smoothing¶

Returns the smoothing level for the specified material property.

Parameters:: material_property_enum – The material property to get smoothing level for
Returns:: The smoothing level for the specified material property

get_solidification_temperature() → float¶

Returns the solidification temperature for the material.

Returns:: The solidification temperature [K]

rename_as_library(name: str)¶

Renames the material library.

Parameters:: name – The new name of the library
Returns:: This MaterialProperties object

save_as_library(name: str = '')¶

Saves the material library with the specified name to disk.

Default: Re-save the current object with the previously chosen name

Parameters:: name – The new name of the library
Returns:: This MaterialProperties object

save_library()¶

Saves the material library to disk.

Returns:: This MaterialProperties object

set_smoothing_for_all_properties(smoothing_enum: Smoothing)¶

Sets the smoothing level for all material properties.

Parameters:: smoothing_enum – The smoothing level
Returns:: This MaterialProperties object

set_smoothing_for_property(material_property_enum: MaterialProperty, smoothing_enum: Smoothing)¶

Sets the smoothing level for the specified material property.

Parameters:

material_property_enum – The specified material property
smoothing_enum – The smoothing level

Returns:

This MaterialProperties object

class tc_python.am.MaterialProperty(value)¶

Bases: Enum

A single material property used in the class MaterialProperties.

CP = 0¶: Apparent heat capacity [J/(kg K)]

DENSITY = 1¶: Density [kg/m3]

DRIVING_FORCE_EVAPORATION = 8¶: Driving force for evaporation [J/mol]

DYNAMIC_VISCOSITY = 4¶: Dynamic viscosity [Pa s]

ELECTRIC_RESISTIVITY = 11¶: Resistivity [Ohm * m]

ENTHALPY_PER_KG = 10¶: Enthalpy [J/kg]

ENTHALPY_PER_MOLE = 2¶: Enthalpy [J/mol]

EVAPORATION_ENTHALPY = 9¶: Evaporation enthalpy [J/mol]

MOLAR_MASS_OF_GAS = 7¶: Molar mass of Gas [kg/mol]

MOLAR_VOLUME = 6¶: Molar volume [m3/mol]

SURFACE_TENSION = 5¶: Surface tension [J/m2]

THERMAL_CONDUCTIVITY = 3¶: Thermal conductivity [W/(m K)]

class tc_python.am.MaterialType(value)¶

Bases: Enum

The material (solid, liquid, powder) to be plotted in a pyvista visualization plot.

LIQUID = 'Liquid'¶: Onl liquid material

POWDER = 'Powder'¶: Only powder

SHOW_ALL = 'All'¶: All material

SOLID = 'Solid'¶: Only solid material

SOLID_AND_LIQUID = 'Solid and liquid'¶: Only solid and liquid material

SOLID_AND_POWDER = 'Solid and powder'¶: Only solid material and powder

class tc_python.am.MediumMesh¶

Bases: Mesh

An initially medium mesh.

Note

It is adaptive and will be automatically refined as required.

class tc_python.am.Mesh¶

Bases: object

The initial mesh size in the simulation.

Can be coarse, medium, fine, or custom.

Note

It is adaptive and will be automatically refined as required.

classmethod coarse()¶

Selecting the mesh to be initially coarse.

Note

It is adaptive and will be automatically refined as required.

Returns:: A new CoarseMesh object

classmethod custom(minimum_element_size: float = 1e-05, maximum_element_size: float = 0.0001)¶

Selecting explicitly the initial mesh.

Default: Minimum element size: 10 um, maximum element size: 100 um

Note

It is adaptive and will be automatically refined as required.

Parameters:

minimum_element_size – The minimum element size [m]
maximum_element_size – The maximum element size [m]

Returns:

A new CustomMesh object

classmethod fine()¶

Selecting the mesh to be initially fine.

Note

It is adaptive and will be automatically refined as required.

Returns:: A new FineMesh object

classmethod medium()¶

Selecting the mesh to be initially medium.

Note

It is adaptive and will be automatically refined as required.

Returns:: A new MediumMesh object

class tc_python.am.NumericalOptions¶

Bases: object

The numerical options for an AM simulation.

disable_damping()¶

Disable numerical damping.

Default: disabled

Returns:: This NumericalOptions object

disable_petrov_galerkin()¶

Disables Streamline upwind Petrov-Galerkin (SUPG) for the numerical solver.

Default: enabled

Returns:: This NumericalOptions object

enable_petrov_galerkin()¶

Enables Streamline upwind Petrov-Galerkin (SUPG) for the numerical solver.

Default: enabled

Returns:: This NumericalOptions object

get_options()¶

Returns the numerical options for an AM simulation.

Returns:: The numerical options

set_damping_factor(damping_factor: float = 0.0)¶

Sets the numerical damping factor.

Default: numerical damping is disabled

Parameters:: damping_factor – The numerical damping factor
Returns:: This NumericalOptions object

set_number_of_cores(num_cores: int)¶

Sets the number of used processor cores.

Default: Half of the available cores on the CPU, 2 cores on a 2-core CPU, and 1 core on a 1-core CPU.

Parameters:: num_cores – The number of used cores
Returns:: This NumericalOptions object

set_smagorinsky_constant(const: float = 0.18)¶

Sets the smagorinsky constant.

Parameters:: const – The smagorinsky constant.
Returns:: This NumericalOptions object

with_file_saving_strategy(file_saving_strategy: FileSavingStrategy)¶

Sets the strategy how result files are saved on disk. Both the number and time point of saving can be controlled.

Default: an automatic file saving strategy

Parameters:: file_saving_strategy – The file saving strategy
Returns:: This NumericalOptions object

class tc_python.am.ProbeCoordinate(x: Optional[float] = None, y: Optional[float] = None, z: Optional[float] = None, position: Optional[List[float]] = None)¶

Bases: object

The coordinates of a probe. This is a point in the simulation domain whose properties can be obtained from the result object after the calculation using TransientResult.get_temperatures_at_probe().

class tc_python.am.Scalar(value)¶

Bases: Enum

A quantity to be plotted in a pyvista visualization plot.

MATERIAL_TYPE = 'subdomain_id'¶: Material type

MOLAR_VOLUME = 'molar_volume'¶: Molar volume

SURFACE_TENSION = 'gamma'¶: Surface tension

TEMPERATURE = 'temperature'¶: Temperature

THERMAL_CONDUCTIVITY = 'k'¶: Thermal conductivity

VOLUME_FRACTION_LIQUID = 'liquid_vfrac'¶: Volume fraction of liquid

class tc_python.am.ScanningPath(calc: AdditiveManufacturingCalculation)¶

Bases: object

get_end_of_scanning_time() → float¶

Returns:: The end of scanning time (s)

get_heat_source_position(time: float) → Tuple[List[float], float]¶

Parameters:: time – The time (s)
Returns:: position of the heat source, and its angle. Returns an empty position list, if the heat source is OFF

get_heat_source_position_nearby(layerID: int, x: float, y: float) → Tuple[List[float], float, float, float]¶

Parameters:

layerID – The layer ID. Zero index
x – x-coordinate of the point.
y – y-coordinate of the point.

Returns:

position of the nearest point, factor of this position on the line, distance to the line, and time.

get_heat_source_position_on_path(pathID: int, layerID: int, factor: float) → Tuple[List[float], float, float]¶

Parameters:

pathID – The path ID of the scanning path. Zero index
layerID – The layer ID of the scanning path. Zero index
factor – The factor. 0 - for the beginning position, and 1- for the end position of the line path.

Returns:

position of the heat source, its angle, and time.

get_number_of_layers() → int¶

Returns:: Total number of layers

get_position_between_two_nearest_lines(layerID: int, x: float, y: float) → Tuple[float]¶

Parameters:

layerID – The layer ID. Zero index
x – x-coordinate of the point.
y – y-coordinate of the point.

Returns:

The nearest position in the middle of two scanning paths. The scanning paths are determined by the two closet to [x, y]

get_scanning_path_of_layer(layer: int) → List[List[float]]¶

Returns:: List of scanning paths on a layer

get_time_on_path(pathID: int, layerID: int) → Tuple[float, float]¶

Parameters:

pathID – The path ID of the scanning path. Zero index
layerID – The layer ID of the scanning path. Zero index

Returns:

Stating time, and ending time of a path, on a layer.

is_heat_source_on(time: float) → bool¶

Parameters:: time – The time (s)
Returns:: True if the heat source is ON

class tc_python.am.ScanningStrategy¶

Bases: object

The scanning pattern of the heat source.

Single track, bidirectional (flipping scanning direction of the heat source between alternate tracks), or unidirectional (same scanning direction of the heat source for all tracks) are available.

classmethod bi_directional()¶

A bidirectional scanning strategy (flipping scanning direction of the heat source between alternate tracks).

Returns:: A new BiDirectionalScanningStrategy object

set_cooling_time(cooling_time: float)¶

Sets the cooling time.

Default: 0 [s]

Parameters:: cooling_time – [s]
Returns:: This ScanningStrategy object

classmethod single_track()¶

A single track scanning strategy.

Returns:: A new SingleTrackScanningStrategy object

classmethod uni_directional()¶

A unidirectional scanning strategy (same scanning direction of the heat source for all tracks).

Returns:: A new UniDirectionalScanningStrategy object

class tc_python.am.ScheilMaterialProperties(scheil_result: ScheilCalculationResult, interface_scattering_constant: float = 0.0, note: str = '')¶

Bases: MaterialProperties

Material properties created from the result of a Scheil calculation.

class tc_python.am.SingleTrackScanningStrategy¶

Bases: ScanningStrategy

A single track scanning strategy.

get_type() → str¶

Returns the type of scanning strategy.

Returns:: The type

set_margin(margin: float = 0.001)¶

Sets the margin.

This is the offset of the scanning path from the sides of the computational domain. In case of single tracks, offset is placed from the sides transverse to the scanning direction.

Default: 1.0e-3 [m]

Parameters:: margin – The margin [m]
Returns:: This SingleTrackScanningStrategy object

set_number_of_layers(number_of_layers: int = 1)¶

Sets the number of layers.

Default: 1

Parameters:: number_of_layers – The number of layers
Returns:: This SingleTrackScanningStrategy object

set_powder_fill_time(powder_fill_time: float = 0.0)¶

Sets the powder fill time.

Default: 0 [s]

Parameters:: powder_fill_time – [s]
Returns:: This SingleTrackScanningStrategy object

class tc_python.am.Smoothing(value)¶

Bases: Enum

The smoothing level used in the class MaterialProperties.

CONSTANT = -200¶: Constant smoothing

LARGE = 600¶: Large smoothing

LINEAR = -100¶: Linear smoothing

LITTLE = 60¶: Little smoothing

MEDIUM = 150¶: Medium smoothing

NONE = 0¶: No smoothing

class tc_python.am.SteadyStateCalculation(calculation)¶

Bases: AdditiveManufacturingCalculation

A steady-state Additive Manufacturing calculation.

Note

This computes the temperature distribution in a steady-state environment, either on a bare metal substrate or with a powder layer on the top, with the possibility to add fluid flow inside the melt pool.

calculate(timeout_in_minutes: float = 0.0) → SteadyStateResult¶

Runs the calculation.

Parameters:: timeout_in_minutes – Used to prevent the calculation from running longer than what is wanted, or from hanging. If the calculation runs longer than timeout_in_minutes, a :class`UnrecoverableCalculationException` will be thrown, the current TCPython-block will be unusable and a new TCPython block must be created for further calculations.
Returns:: A SteadyStateResult which later can be used to get specific values from the calculated result

class tc_python.am.SteadyStateResult(result)¶

Bases: AdditiveManufacturingResult

A result for a steady-state calculation.

get_heat_affected_zone_depth() → float¶

Returns the depth of the heat affected zone.

Returns:: The depth of the heat affected zone [m]

get_heat_affected_zone_length() → float¶

Returns the length of the heat affected zone.

Returns:: The heat affected zone length [m]

get_heat_affected_zone_width() → float¶

Returns the width of the heat affected zone.

Returns:: The width of the heat affected zone [m]

get_keyhole_depth() → float¶

The depth of the keyhole.

Returns:: The depth of the keyhole [m]

get_keyhole_length() → float¶

The length of the keyhole.

Returns:: The length of the keyhole [m]

get_keyhole_width() → float¶

The width of the keyhole.

Returns:: The width of the keyhole [m]

get_meltpool_depth() → float¶

Returns the meltpool depth.

Returns:: The meltpool depth [m]

get_meltpool_length() → float¶

Returns the meltpool length.

Returns:: The meltpool length [m]

get_meltpool_width() → float¶

Returns the meltpool width.

Returns:: The meltpool width [m]

has_keyhole() → bool¶

Returns if the result contains a keyhole.

Returns:: True if the result has a keyhole

class tc_python.am.TopBoundaryConditions¶

Bases: object

The top boundary conditions of the simulation.

disable_evaporation()¶

Disables the evaporation heat loss due to heating of the powder layer or the metallic surface when being close to the evaporation temperature.

Default: enabled

Returns:: This TopBoundaryConditions object

enable_evaporation()¶

Enables the evaporation heat loss due to heating of the powder layer or the metallic surface when being close to the evaporation temperature.

Default: enabled

Returns:: This TopBoundaryConditions object

set_convective_heat_coefficient(convective_heat_coefficient: float = 20.0)¶

Sets the convective heat transfer coefficient for the top surface to the surrounding gas.

Enter 0 to disable convective heat transfer.

Default: 20.0 W/m**2

Parameters:: convective_heat_coefficient – The convective heat transfer coefficient [W/m**2]
Returns:: This TopBoundaryConditions object

set_radiation_emissivity(radiation_emissivity: float = 0.8)¶

Sets the radiation from the top surface to the surrounding gas.

Enter 0 to disable radiation.

Default: 0.8

Parameters:: radiation_emissivity – The radiation emissivity, range: [0 - 1] [-]
Returns:: This TopBoundaryConditions object

class tc_python.am.TransientCalculation(calculation)¶

Bases: AdditiveManufacturingCalculation

A transient Additive Manufacturing calculation.

Note

This computes the temperature distribution in a transient case with the given scanning strategy including multiple paths and layers and the possibility to add fluid flow inside the melt pool.

add_probe(coordinate: ProbeCoordinate)¶

Adds a probe, this a point in the simulation domain whose properties can be obtained from the result after the calculation using TransientResult.get_temperatures_at_probe().

Parameters:: coordinate – The probe to be added
Returns:: This TransientCalculation object

calculate(timeout_in_minutes: float = 0.0) → TransientResult¶

Runs the calculation.

Parameters:: timeout_in_minutes – Used to prevent the calculation from running longer than what is wanted, or from hanging. If the calculation runs longer than timeout_in_minutes, a UnrecoverableCalculationException will be thrown, the current TCPython-block will be unusable and a new TCPython block must be created for further calculations.
Returns:: A TransientResult which later can be used to get specific values from the calculated result

get_scanning_path()¶

Returns:: The calculation’s scanning pattern object

remove_all_probes()¶

Removes all probes.

Returns:: This TransientCalculation object

remove_probe(coordinate: ProbeCoordinate)¶

Removes a probe.

Parameters:: coordinate – The coordinates of the probe to be removed
Returns:: This TransientCalculation object

set_length(length: float = 0.005)¶

Sets the length of the simulation domain.

Default: 5.0e-3 m :param length: The length [m] :return: This TransientCalculation object

set_width(width: float = 0.004)¶

Sets the width of the simulation domain.

Default: 4.0e-3 m

Parameters:: width – The width [m]
Returns:: This TransientCalculation object

with_scanning_strategy(scanning_strategy: ScanningStrategy)¶

Sets the scanning strategy of the heat source, i.e. beam.

Parameters:: scanning_strategy – The scanning strategy
Returns:: This TransientCalculation object

class tc_python.am.TransientResult(result)¶

Bases: AdditiveManufacturingResult

A result for transient calculations (also with steady-state heat source).

get_temperatures_at_probe(coordinate: ProbeCoordinate) → Tuple[List[float], List[float]]¶

Obtains the temperature at a probe (i.e., a point in the simulation domain) that had previously been defined for the calculation using TransientCalculation.add_probe() or TransientWithSteadyStateCalculation.add_probe().

Parameters:: coordinate – The coordinates of the probe - must have been defined in the calculator previously
Returns:: A tuple (time points [s], temperatures [K])

get_time_steps() → List[float]¶

Returns:: List of the available time steps

set_active_time(step: int)¶: Set the step to be active

class tc_python.am.TransientWithSteadyStateCalculation(transient_with_ss_calculation, ss_calculation)¶

Bases: AdditiveManufacturingCalculation

A transient Additive Manufacturing calculation using a heat source from steady-state.

Note

This computes the temperature distribution in a transient case with the given scanning strategy including multiple paths and layers.

A steady-state simulation runs with the configured heat source and with the possibility to add fluid flow in the melt pool.
A volume heat source (based on the solution of steady-state calculation) is used in the transient simulation.

Tip

This type of calculation is significantly faster than fully transient calculations using TransientCalculation.

add_probe(coordinate: ProbeCoordinate)¶

Adds a probe, this a point in the simulation domain whose properties can be obtained from the result after the calculation using TransientResult.get_temperatures_at_probe().

Parameters:: coordinate – The probe to be added
Returns:: This TransientWithSteadyStateCalculation object

calculate(timeout_in_minutes: float = 0.0) → TransientResult¶

Runs the calculation.

Parameters:: timeout_in_minutes – Used to prevent the calculation from running longer than what is wanted, or from hanging. If the calculation runs longer than timeout_in_minutes, a UnrecoverableCalculationException will be thrown, the current TCPython-block will be unusable and a new TCPython block must be created for further calculations.
Returns:: A TransientResult which later can be used to get specific values from the calculated result

disable_fluid_flow_marangoni()¶

Disables the fluid flow modelling of the Marangoni effect.

Default: Enabled

Returns:: This TransientWithSteadyStateCalculation object

disable_separate_materials()¶

Disables separate material properties for powder and solid material.

Default: Disabled

Returns:: This TransientWithSteadyStateCalculation object

enable_fluid_flow_marangoni()¶

Enables the fluid flow modelling of the Marangoni effect.

Default: Enabled

Note

This option is not possible to use in conjunction with the option separate material, which is therefore automatically disabled.

Returns:: This TransientWithSteadyStateCalculation object

enable_separate_materials()¶

Enables separate material properties for powder and solid material.

Default: Disabled

Note

This option is not possible to use in conjunction with the option Marangoni fluid flow, which is therefore automatically disabled.

Returns:: This TransientWithSteadyStateCalculation object

remove_all_probes()¶

Removes all probes.

Returns:: This TransientWithSteadyStateCalculation object

remove_probe(coordinate: ProbeCoordinate)¶

Removes a probe.

Parameters:: coordinate – The coordinates of the probe to be removed
Returns:: This TransientWithSteadyStateCalculation object

set_ambient_temperature(temperature: float = 296.15)¶

Sets the ambient temperature.

Default: 23 degree Celsius

Parameters:: temperature – The ambient temperature [K]
Returns:: This TransientWithSteadyStateCalculation object

set_base_plate_temperature(temperature: float = 303.15)¶

Sets the baseplate temperature.

Default: 30 degree Celsius

Parameters:: temperature – The baseplate temperature [K]
Returns:: This TransientWithSteadyStateCalculation object

set_gas_pressure(pressure: float = 100000.0)¶

Sets the gas pressure.

Default: 1.0e5 Pa

Parameters:: pressure – The pressure [Pa]
Returns:: This TransientWithSteadyStateCalculation object

set_height(height: float = 0.002)¶

Sets the height of the simulation domain.

Default: 2.0e-3 m

Parameters:: height – The height [m]
Returns:: This TransientWithSteadyStateCalculation object

set_layer_thickness(layer_thickness: float = 4e-05)¶

Sets the layer thickness.

Default: 40.0e-6 m

Parameters:: layer_thickness – The layer thickness [m]
Returns:: This TransientWithSteadyStateCalculation object

set_length(length: float = 0.005)¶

Sets the length of the simulation domain.

Default: 5.0e-3 m :param length: The length [m] :return: This TransientWithSteadyStateCalculation object

set_powder_density(powder_density: float = 80.0)¶

Sets the powder density.

Default: 80.0%

Parameters:: powder_density – The powder density [%]
Returns:: This TransientWithSteadyStateCalculation object

set_width(width: float = 0.004)¶

Sets the width of the simulation domain.

Default: 4.0e-3 m

Parameters:: width – The width [m]
Returns:: This TransientWithSteadyStateCalculation object

with_heat_source(heat_source: HeatSource)¶

Sets the heat source.

Parameters:: heat_source – The heat source
Returns:: This TransientWithSteadyStateCalculation object

with_material_properties(material_properties: MaterialProperties)¶

Sets the material properties.

Tip

Material properties can be defined like this: MaterialProperties.from_library("IN718") or MaterialProperties.from_scheil_result(scheil_result).

Parameters:: material_properties – The material properties
Returns:: This TransientWithSteadyStateCalculation object

with_mesh(mesh: Mesh)¶

Sets the mesh.

Parameters:: mesh – The mesh
Returns:: This TransientWithSteadyStateCalculation object

with_numerical_options(numerical_options: NumericalOptions)¶

Sets the numerical options.

Parameters:: numerical_options – The numerical options
Returns:: This TransientWithSteadyStateCalculation object

with_scanning_strategy(scanning_strategy: ScanningStrategy)¶

Sets the scanning strategy of the heat source, i.e. beam.

Parameters:: scanning_strategy – The scanning strategy
Returns:: This TransientWithSteadyStateCalculation object

with_top_boundary_conditions(boundary_conditions: TopBoundaryConditions)¶

Sets the boundary conditions.

Parameters:: boundary_conditions – The boundary conditions
Returns:: This TransientWithSteadyStateCalculation object

class tc_python.am.UniDirectionalScanningStrategy¶

Bases: ScanningStrategy

A unidirectional scanning strategy (same scanning direction of the heat source for all tracks).

get_type() → str¶

Returns the type of scanning strategy.

Returns:: The type

set_angle(angle: float = 0.0)¶

Sets the rotation of the scanning direction between two consecutive layers.

Note

The scanning direction of the first layer is always aligned parallel to the x-axis.

Default: 0 degree

Parameters:: angle – The angle [degree]
Returns:: This UniDirectionalScanningStrategy object

set_hatch_spacing(hatch_spacing: float = 0.0)¶

Sets the horizontal separation between two consecutive tracks.

Default: 0 m

Parameters:: hatch_spacing – The hatch spacing [m]
Returns:: This UniDirectionalScanningStrategy object

set_lift_time(lift_time: float = 0.0)¶

Sets the lift time, i.e. the time between two tracks where the heat source is inactive.

Default: 0 s

Parameters:: lift_time – The lift time [s]
Returns:: This UniDirectionalScanningStrategy object

set_margin(margin: float = 0.001)¶

Sets the margin.

This is the offset of the scanning path from the sides of the computational domain.

Default: 1.0e-3 [m]

Parameters:: margin – The margin [m]
Returns:: This UniDirectionalScanningStrategy object

set_number_of_layers(number_of_layers: int = 1)¶

Sets the number of layers.

Default: 1

Parameters:: number_of_layers – The number of layers
Returns:: This UniDirectionalScanningStrategy object

set_powder_fill_time(powder_fill_time: float = 0.0)¶

Sets the powder fill time.

Default: 0 s

Parameters:: powder_fill_time – The powder fill time [s]
Returns:: This UniDirectionalScanningStrategy object

class tc_python.am.UserDefinedGaussianHeatSource(function: str = '60.0')¶

Bases: object

A Gaussian heat source (with user defined absorptivity)

disable_keyhole_model()¶

Disables using a keyhole model in the simulation.

Returns:: This GaussianHeatSource object

static get_type() → str¶

Returns the type of heat source.

Returns:: The type

set_absorptivity_function(function: str = '60')¶

Parameters:: function – The absorptivity user defined function value to set for the heat source, provided as a string.
Returns:: This GaussianHeatSource object

set_beam_radius(beam_radius: float = 0.00011)¶

Sets the beam radius.

Default: 110.0e-6 m

Parameters:: beam_radius – The beam radius [m]
Returns:: This GaussianHeatSource object

set_power(power: float = 120.0)¶

Sets the power of the heat source.

Default: 120 W

Parameters:: power – The power [W]
Returns:: This GaussianHeatSource object

set_scanning_speed(beam_speed: float = 0.5)¶

Sets the moving velocity of the heat source.

Default: 500.0e-3 m/s

Parameters:: beam_speed – The beam speed [m/s]
Returns:: This GaussianHeatSource object

with_keyhole_model(config: KeyholeModel)¶

Sets the keyhole model applied in the simulation.

Default: None

Parameters:: config – The keyhole model
Returns:: This GaussianHeatSource object

class tc_python.am.Zone(value)¶

Bases: Enum

Zones to be used in combination with keyhole model and material properties.

LIQUID = 2¶: Liquid zone

MUSHY = 1¶: Mushy zone

SOLID = 0¶: Solid zone

VAPOR = 3¶: Vapor zone