Workbench mechanical results differ from those with PyDPF.
jwkim
Member Posts: 7
**
in Structures
Hi Team
I wrote the code below, but the current density value in the automation program using PyDPF and the current density value in Mechanical are different, so how can I output the same?
`def plot_result(self):
try:
self.plotter.clear()
rst = runpath2+"/WB/Busbar_files/dp0/SYS/MECH/file.rst"
model = dpf.Model(rst)
meshed=model.metadata.meshed_region
t_f=model.metadata.time_freq_support
time_1 = list(t_f.time_frequencies.data)
dt_times=[str(round(items,2)) for items in time_1]
if self.dt_box.currentText()=="Last Time":
index = -1
if self.dt_box.count() == 1:
self.dt_box.addItems(dt_times)
self.dt_box.removeItem(0)
else:
index = self.dt_box.currentIndex()
if self.model_box.currentText()=="Full Model":
part_name = "MESH_SZ"
else:
part_name = self.model_box.currentText()
part_name = part_name.upper()
part_name = "NS_" + part_name
if self.radio_temp.isChecked():
my_mesh_scoping = model.metadata.named_selection(part_name)
scoping_op = dpf.operators.mesh.from_scoping()
scoping_op.inputs.scoping.connect(my_mesh_scoping)
scoping_op.inputs.mesh.connect(meshed)
my_mesh = scoping_op.outputs.mesh()
if index == 0:
index2 = 0
get_all_temp = model.results.temperature.on_all_time_freqs
get_fieldContents_temp = get_all_temp(mesh_scoping=my_mesh_scoping).eval()
get_field_temp = get_fieldContents_temp[index2]
elif index == -1:
index2 = -1
get_all_temp = model.results.temperature.on_last_time_freq
get_fieldContents_temp = get_all_temp(mesh_scoping=my_mesh_scoping).eval()
get_field_temp = get_fieldContents_temp[0]
else:
index2 = index * 2
get_all_temp = model.results.temperature.on_all_time_freqs
get_fieldContents_temp = get_all_temp(mesh_scoping=my_mesh_scoping).eval()
get_field_temp = get_fieldContents_temp[index2]
res_nodal_op=dpf.operators.averaging.elemental_nodal_to_nodal()
my_field = get_field_temp
res_nodal_op.inputs.field.connect(my_field)
get_field_temp=res_nodal_op.outputs.field()
field = get_field_temp
meshed_region = my_mesh
mesh_location = meshed_region.nodes
component_count = field.component_count
overall_data = np.full((len(mesh_location), component_count), np.nan)
ind, mask = mesh_location.map_scoping(field.scoping)
value_array = field.data[mask].reshape(-1, 1)
overall_data[ind] = value_array
grid = meshed_region.grid
max_temp = max(overall_data)
min_temp = min(overall_data)
self.pd = pv.UnstructuredGrid(grid.cells,grid.celltypes, grid.points)
title2= "Temperature($^\circ$C) \n"+"Time ="+str(round(time_1[index],2))
sbar_kwargs =dict(title_font_size=18, label_font_size=15, height=0.8, width=0.12, vertical=True, interactive=False, position_x=0.05, position_y=0.1, color="black", title=title2, n_labels=6, fmt="%10.3f")
self.plotter.enable_point_picking(left_clicking=True,pickable_window=False)
self.plotter.add_mesh(self.pd,pickable=True, scalars=overall_data, show_scalar_bar=True, scalar_bar_args=sbar_kwargs, show_edges=False, cmap='jet', rng=(min_temp, max_temp))
elif self.radio_hf.isChecked():
my_mesh_scoping = model.metadata.named_selection(part_name)
scoping_op = dpf.operators.mesh.from_scoping()
scoping_op.inputs.scoping.connect(my_mesh_scoping)
scoping_op.inputs.mesh.connect(meshed)
my_mesh = scoping_op.outputs.mesh()
if index == 0:
index = 0
get_all_currentdensity = model.results.current_density.on_all_time_freqs
get_fieldContents_currentdensity = get_all_currentdensity(mesh_scoping=my_mesh_scoping).eval()
get_field_currentdensity = get_fieldContents_currentdensity[index]
elif index == -1:
index = -1
get_all_currentdensity = model.results.current_density.on_last_time_freq
get_fieldContents_currentdensity = get_all_currentdensity(mesh_scoping=my_mesh_scoping).eval()
get_field_currentdensity = get_fieldContents_currentdensity[0]
else:
get_all_currentdensity = model.results.current_density.on_all_time_freqs
get_fieldContents_currentdensity = get_all_currentdensity(mesh_scoping=my_mesh_scoping).eval()
get_field_currentdensity = get_fieldContents_currentdensity[index]
res_nodal_op=dpf.operators.averaging.elemental_nodal_to_nodal()
my_field = get_field_currentdensity
res_nodal_op.inputs.field.connect(my_field)
get_field_currentdensity=res_nodal_op.outputs.field()
field = get_field_currentdensity
meshed_region = my_mesh
mesh_location = meshed_region.nodes
component_count = field.component_count
overall_data = np.full((len(mesh_location), component_count), np.nan)
ind, mask = mesh_location.map_scoping(field.scoping)
overall_data[ind] = field.data[mask]
grid = meshed_region.grid
grid.set_active_scalars(None)
scaling = 5e-4
grid["my_vectors"] = overall_data * scaling
grid.set_active_vectors("my_vectors")
vector_magnitudes = np.linalg.norm(overall_data, axis=1)
max_temp = max(vector_magnitudes)
min_temp = min(vector_magnitudes)
title2= " Current Density(A/m\u00B2) \n"+"Time ="+str(round(time_1[index],2))
sbar_kwargs =dict(title_font_size=18, label_font_size=15, height=0.8, width=0.12, vertical=True, interactive=False, position_x=0.05, position_y=0.1, color="black", title=title2, n_labels=6)#, fmt="%10.3f")
self.plotter.add_mesh(grid.arrows, lighting=False, show_scalar_bar=False)
self.plotter.add_mesh(grid, scalars= overall_data, show_edges=False, scalar_bar_args=sbar_kwargs, cmap='jet', rng=(min_temp, max_temp))
self.plotter.window_size = [859, 429]
self.plotter.add_camera_orientation_widget()
self.plotter.camera_position='xy'`
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