New MaxwellMatrix class and post-processing enhancements for Eddy current solvers

[gmalinve]

PyAEDT is now able to store reduced matrices of a parent matrix thanks to new enhancements in Boundary.py .
In the MaxwellParameters class there is a new property called reduced_matrices, a list of reduced matrices stored as MaxwellMatrix objects.
The new MaxwellMatrix class comes with the following properties:

• name: reduced matrix name.
• parent_matrix: parent matrix name.
• source: a dictionary where key is the reduced group name and as a value the excitations that are included.

We also improved post-processing capabilities for Maxwell Eddy Current solvers. create_report and get_solution_data have been enhanced too and in the context argument you can now provide a dictionary where the key is the parent matrix name and value the reduced matrix name.

Below an example:

from pyaedt import Maxwell2d`

m2d = Maxwell2d(projectname="m2d_eddy_current", designname="EC_Planar", specified_version="2024.2")

matrix = m2d.assign_matrix(assignment=["pri", "sec", "terz"],
                           matrix_name="Matrix1",
                           return_path="infinite")

series = matrix.join_series(sources=["pri", "sec"], matrix_name="ReducedMatrix1")
parallel = matrix.join_parallel(sources=["sec", "terz"], matrix_name="ReducedMatrix2")

m2d.analyze()

available_categories = m2d.post.available_quantities_categories(report_category="EddyCurrent",
                                                                display_type="Data Table",
                                                                context={"Matrix1": "ReducedMatrix1"})
expressions = m2d.post.available_report_quantities(report_category="EddyCurrent", display_type="Data Table",
                                                   context={"Matrix1": "ReducedMatrix1"}, quantities_category="L")
report = m2d.post.create_report(expressions=expressions,
                                context={"Matrix1": "ReducedMatrix1"},
                                plot_type="Data Table",
                                setup_sweep_name="Setup1 : LastAdaptive",
                                plot_name="reduced_matrix")

data = m2d.post.get_solution_data(expressions=expressions,
                                  context={"Matrix1": "ReducedMatrix1"},
                                  report_category="EddyCurrent",
                                  setup_sweep_name="Setup1 : LastAdaptive")

m2d.release_desktop(False, False)