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basic_transformer_center_tapped.py
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basic_transformer_center_tapped.py
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"""Basic example to show how to simulate a center-tapped transformer."""
import femmt as fmt
import os
def basic_example_transformer_center_tapped(onelab_folder: str = None, show_visual_outputs: bool = True,
is_test: bool = False):
"""
Run the example code for the center-tapped transformer.
:param onelab_folder: onelab folder path
:type onelab_folder: str
:param show_visual_outputs: True to show visual outputs (simulation results)
:type show_visual_outputs: bool
:param is_test: True for pytest usage. Defaults to False.
:type is_test: bool
"""
def example_thermal_simulation(show_thermal_visual_outputs: bool = True, flag_insulation: bool = True):
# Thermal simulation:
# The losses calculated by the magnetics simulation can be used to calculate the heat distribution of the
# given magnetic component. In order to use the thermal simulation, thermal conductivities for each material
# can be entered as well as a boundary temperature which will be applied on the boundary of the
# simulation (dirichlet boundary condition).
# The case parameter sets the thermal conductivity for a case which will be set around the core.
# This could model some case in which the transformer is placed in together with a set potting material.
thermal_conductivity_dict = {
"air": 0.0263,
"case": { # epoxy resign
"top": 1.54,
"top_right": 1.54,
"right": 1.54,
"bot_right": 1.54,
"bot": 1.54
},
"core": 5, # ferrite
"winding": 400, # copper
"air_gaps": 180, # aluminium nitride
"insulation": 0.42 if flag_insulation else None # polyethylene
}
# Here the case size can be determined
case_gap_top = 0.002
case_gap_right = 0.0025
case_gap_bot = 0.002
# Here the boundary temperatures can be set, currently it is set to 20°C (around 293°K).
# This does not change the results of the simulation (at least when every boundary is set equally)
# but will set the temperature offset.
boundary_temperatures = {
"value_boundary_top": 20,
"value_boundary_top_right": 20,
"value_boundary_right_top": 20,
"value_boundary_right": 20,
"value_boundary_right_bottom": 20,
"value_boundary_bottom_right": 20,
"value_boundary_bottom": 20
}
# Here the boundary sides can be turned on (1) or off (0)
# By turning off the flag a neumann boundary will be applied at this point with heat flux = 0
boundary_flags = {
"flag_boundary_top": 0,
"flag_boundary_top_right": 0,
"flag_boundary_right_top": 1,
"flag_boundary_right": 1,
"flag_boundary_right_bottom": 1,
"flag_boundary_bottom_right": 1,
"flag_boundary_bottom": 1
}
# In order for the thermal simulation to work an electro_magnetic simulation has to run before.
# The em-simulation will create a file containing the losses.
# When the losses file is already created and contains the losses for the current model, it is enough to
# run geo.create_model in order for the thermal simulation to work (geo.single_simulation is not needed).
# Obviously when the model is modified and the losses can be out of date and therefore the
# geo.single_simulation needs to run again.
geo.thermal_simulation(thermal_conductivity_dict, boundary_temperatures, boundary_flags, case_gap_top,
case_gap_right, case_gap_bot, show_thermal_visual_outputs,
color_scheme=fmt.colors_ba_jonas, colors_geometry=fmt.colors_geometry_ba_jonas,
flag_insulation=flag_insulation)
example_results_folder = os.path.join(os.path.dirname(__file__), "example_results")
if not os.path.exists(example_results_folder):
os.mkdir(example_results_folder)
working_directory = os.path.join(example_results_folder, os.path.splitext(os.path.basename(__file__))[0])
if not os.path.exists(working_directory):
os.mkdir(working_directory)
geo = fmt.MagneticComponent(component_type=fmt.ComponentType.Transformer, working_directory=working_directory,
verbosity=fmt.Verbosity.ToConsole, is_gui=is_test)
# This line is for automated pytest running on GitHub only. Please ignore this line!
if onelab_folder is not None:
geo.file_data.onelab_folder_path = onelab_folder
core_dimensions = fmt.dtos.SingleCoreDimensions(window_h=0.025, window_w=0.02, core_inner_diameter=0.015,
core_h=0.05)
core = fmt.Core(core_dimensions=core_dimensions, mu_r_abs=3100, phi_mu_deg=12, sigma=1.2,
permeability_datasource=fmt.MaterialDataSource.Custom,
permittivity_datasource=fmt.MaterialDataSource.Custom)
geo.set_core(core)
air_gaps = fmt.AirGaps(fmt.AirGapMethod.Percent, core)
air_gaps.add_air_gap(fmt.AirGapLegPosition.CenterLeg, 0.0005, 50)
geo.set_air_gaps(air_gaps)
# set_center_tapped_windings() automatically places the conductors
insulation, winding_window = fmt.functions_topologies.set_center_tapped_windings(
core=core,
primary_turns=12,
primary_radius=1.1e-3,
primary_number_strands=50,
primary_strand_radius=0.00011,
secondary_parallel_turns=3,
secondary_thickness_foil=1e-3,
iso_top_core=0.001,
iso_bot_core=0.001,
iso_left_core=0.002,
iso_right_core=0.001,
iso_primary_to_primary=1e-4,
iso_secondary_to_secondary=2e-4,
iso_primary_to_secondary=5e-4,
interleaving_type=fmt.CenterTappedInterleavingType.TypeA,
interleaving_scheme=fmt.InterleavingSchemesFoilLitz.ter_3_4_sec_ter_4_3_sec,
primary_additional_bobbin=100,
winding_temperature=100,
center_foil_additional_bobbin=0e-3,
wrap_para_type=fmt.WrapParaType.FixedThickness,
foil_horizontal_placing_strategy=fmt.FoilHorizontalDistribution.VerticalUpward)
geo.set_insulation(insulation)
geo.set_winding_windows([winding_window])
geo.create_model(freq=200000, pre_visualize_geometry=show_visual_outputs)
geo.single_simulation(freq=200000, current=[20, 120, 120], phi_deg=[0, 180, 180],
show_fem_simulation_results=show_visual_outputs)
example_thermal_simulation(show_visual_outputs, flag_insulation=False)
if __name__ == "__main__":
basic_example_transformer_center_tapped(show_visual_outputs=True)