SBR+: HFSS to SBR+ coupling

This example shows how you can use PyAEDT to create an HFSS SBR+ project from an HFSS antenna and run a simulation.

Perform required imports

Perrform rquired imports and set up the local path to the path for the PyAEDT directory.

import os
import pyaedt

project_full_name = pyaedt.downloads.download_sbr(pyaedt.generate_unique_project_name(project_name="sbr_freq"))

Set non-graphical mode

Set non-graphical mode. You can set non_graphical either to True or False.

non_graphical = False

Define designs

Define two designs, one source and one target, with each design connected to a different object.

target = pyaedt.Hfss(
    projectname=project_full_name,
    designname="Cassegrain_",
    solution_type="SBR+",
    specified_version="2023.2",
    new_desktop_session=True,
    non_graphical=non_graphical
)

source = pyaedt.Hfss(projectname=target.project_name,
                     designname="feeder",
                     specified_version="2023.2",
                     )

Initializing new desktop!
Returning found desktop with PID 14156!

Define linked antenna

Define a linked antenna. This is HFSS far field applied to HFSS SBR+.

target.create_sbr_linked_antenna(source, target_cs="feederPosition", fieldtype="farfield")

<pyaedt.modules.Boundary.NativeComponentObject object at 0x000001D983FC7760>

Assign boundaries

Assign boundaries.

target.assign_perfecte_to_sheets(["Reflector", "Subreflector"])
target.mesh.assign_curvilinear_elements(["Reflector", "Subreflector"])

<pyaedt.modules.Mesh.MeshOperation object at 0x000001D98346DA20>

Plot model

Plot the model

source.plot(show=False, export_path=os.path.join(target.working_directory, "Source.jpg"), plot_air_objects=True)
target.plot(show=False, export_path=os.path.join(target.working_directory, "Target.jpg"), plot_air_objects=False)

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<pyaedt.generic.plot.ModelPlotter object at 0x000001D98346EEF0>

Create setup and solve

Create a setup and solve it.

setup1 = target.create_setup()
setup1.props["RadiationSetup"] = "ATK_3D"
setup1.props["ComputeFarFields"] = True
setup1.props["RayDensityPerWavelength"] = 2
setup1.props["MaxNumberOfBounces"] = 3
setup1["RangeType"] = "SinglePoints"
setup1["RangeStart"] = "10GHz"
target.analyze()

True

Plot results

Plot results.

variations = target.available_variations.nominal_w_values_dict
variations["Freq"] = ["10GHz"]
variations["Theta"] = ["All"]
variations["Phi"] = ["All"]
target.post.create_report(
    "db(GainTotal)",
    target.nominal_adaptive,
    variations=variations,
    primary_sweep_variable="Theta",
    context="ATK_3D",
    report_category="Far Fields",
)

<pyaedt.modules.report_templates.FarField object at 0x000001D98346ED10>

Plot results outside AEDT

Plot results using Matplotlib.

solution = target.post.get_solution_data(
    "GainTotal",
    target.nominal_adaptive,
    variations=variations,
    primary_sweep_variable="Theta",
    context="ATK_3D",
    report_category="Far Fields",
)
solution.plot()

<Figure size 2000x1000 with 1 Axes>

Release AEDT

Release AEDT and close the example.

target.release_desktop()

True