PyDPF and Mechanical produce different current density results.
jwkim
Member Posts: 7
**
in Structures
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?
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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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