How can I plot deformed and undeformed mesh ( with result) together using PyDPF?

Options
Rajesh Meena
Rajesh Meena Moderator, Employee Posts: 77
First Anniversary Solution Developer Community of Practice Member Ansys Employee 5 Likes

I would like to plot result having deformed mesh and undeformed mesh after getting results from PyDPF.

The plot should looks something similar to Mechanical, like below.

Best Answer

  • Rajesh Meena
    Rajesh Meena Moderator, Employee Posts: 77
    First Anniversary Solution Developer Community of Practice Member Ansys Employee 5 Likes
    Answer ✓
    Options
    from ansys.dpf import core as dpf
    from ansys.dpf.core import examples
    from ansys.dpf.core.plotter import DpfPlotter #Here we create a Model and request its mesh model = dpf.Model(examples.find_msup_transient())
    mesh_set = model.metadata.meshed_region #Then we need to request the displacement for two different time steps displacement_operator = model.results.displacement()
    displacement_operator.inputs.time_scoping.connect([2, 15])
    displacement_set2 = displacement_operator.outputs.fields_container()[0]
    displacement_set15 = displacement_operator.outputs.fields_container()[1] #scaling by 100 factor to see significant difference between deformed and undeformed mesh scaled_op = dpf.operators.math.scale(
    field=displacement_set2,
    ponderation=100.0
    )


    #Creaet a new mesh for undeformed state mesh_set_undeformed = mesh_set.deep_copy() #User Dpf plotter for adding deformed results and undeformed mesh pl = DpfPlotter()
    pl.add_field(displacement_set2, mesh_set2,deform_by=scaled_op.outputs.field()) #one can use other arguments from pyvista library as well. pl.add_mesh(mesh_set15,opacity=1.0,show_edges=False,hidden_line_removal=True,style="wireframe") pl.show_figure(show_axes=True)


    The above script can be referred to plot result with undeformed mesh. The resulting plot look like below:
    You can play with transparency of undeformed mesh to make it closer to Mechanical view.