Explore Fluids mesh

Note

This example requires DPF 7.0 (ansys-dpf-server-2024-1-pre0) or above. For more information, see Compatibility.

Exploring an Ansys Fluent mesh

This example demonstrates how you can explore an Ansys Fluent mesh. Import the result file

import ansys.dpf.core as dpf
from ansys.dpf.core import examples

path = examples.download_fluent_axial_comp()["flprj"]
ds = dpf.DataSources(path)
streams = dpf.operators.metadata.streams_provider(data_sources=ds)

Using the mesh_provider

The mesh_provider operator can be used to retrieve the whole mesh of the model or the MeshedRegion restricted to a particular body or face zone. The behavior will differ depending on the inputs to the region_scoping pin. If no scoping is connected, the mesh for the whole model is obtained. This is the same mesh that is obtained if the Model.metadata.meshed_region API is employed.

mesh_whole = dpf.operators.mesh.mesh_provider(streams_container=streams).eval()
print(mesh_whole)
mesh_whole.plot()

DPF  Meshed Region:
  16660 nodes
  13856 elements
  44242 faces
  Unit: m
  With solid (3D) elements

If the region_scoping pin is connected, a Scoping with 1 zone ID is expected, or an integer list with one item, or a single integer. The supported zone IDs are either face zone IDs or body IDs. The zones of this particular model are explored in Explore Fluids models. ID 4 (rotor-shroud) corresponds to a face zone, and thus its mesh is only comprised of faces and nodes. ID 13 (fluid-rotor) is a body, and thus its mesh has elements (cells), faces and nodes.

mesh_4 = dpf.operators.mesh.mesh_provider(streams_container=streams, region_scoping=4).eval()
print(mesh_4)
mesh_4.plot()
mesh_13 = dpf.operators.mesh.mesh_provider(streams_container=streams, region_scoping=[13]).eval()
print(mesh_13)
mesh_13.plot()

• 
• 

DPF  Meshed Region:
  429 nodes
  380 faces
  Unit: m
DPF  Meshed Region:
  7293 nodes
  6080 elements
  19388 faces
  Unit: m
  With solid (3D) elements

Using the meshes_provider

The meshes_provider operator can be used to retrieve the mesh for several zones and time steps of the model. The behavior will differ depending on the inputs to the region_scoping pin. If no region_scoping is connected, the MeshedRegion for all body and face zones is retrieved in a MeshesContainer. If no time_scoping is connected and the simulation is transient, only the meshes for the first time step are extracted.

meshes_all = dpf.operators.mesh.meshes_provider(streams_container=streams).eval()
print(meshes_all)
print("\n".join([str(meshes_all.get_label_space(i)) for i in range(len(meshes_all))]))

DPF  Meshes Container
  with 24 mesh(es)
  defined on labels: time zone

  with:
  - mesh 0 {time:  1, zone:  3, } with 429 nodes and 0 elements.
  - mesh 1 {time:  1, zone:  4, } with 429 nodes and 0 elements.
  - mesh 2 {time:  1, zone:  5, } with 187 nodes and 0 elements.
  - mesh 3 {time:  1, zone:  6, } with 187 nodes and 0 elements.
  - mesh 4 {time:  1, zone:  7, } with 425 nodes and 0 elements.
  - mesh 5 {time:  1, zone:  8, } with 425 nodes and 0 elements.
  - mesh 6 {time:  1, zone:  9, } with 204 nodes and 0 elements.
  - mesh 7 {time:  1, zone:  10, } with 204 nodes and 0 elements.
  - mesh 8 {time:  1, zone:  11, } with 68 nodes and 0 elements.
  - mesh 9 {time:  1, zone:  12, } with 68 nodes and 0 elements.
  - mesh 10 {time:  1, zone:  13, } with 7293 nodes and 6080 elements.
  - mesh 11 {time:  1, zone:  16, } with 551 nodes and 0 elements.
  - mesh 12 {time:  1, zone:  17, } with 551 nodes and 0 elements.
  - mesh 13 {time:  1, zone:  18, } with 323 nodes and 0 elements.
  - mesh 14 {time:  1, zone:  19, } with 323 nodes and 0 elements.
  - mesh 15 {time:  1, zone:  20, } with 357 nodes and 0 elements.
  - mesh 16 {time:  1, zone:  21, } with 357 nodes and 0 elements.
  - mesh 17 {time:  1, zone:  22, } with 357 nodes and 0 elements.
  - mesh 18 {time:  1, zone:  23, } with 357 nodes and 0 elements.
  - mesh 19 {time:  1, zone:  24, } with 68 nodes and 0 elements.
  - mesh 20 {time:  1, zone:  25, } with 68 nodes and 0 elements.
  - mesh 21 {time:  1, zone:  26, } with 85 nodes and 0 elements.
  - mesh 22 {time:  1, zone:  27, } with 85 nodes and 0 elements.
  - mesh 23 {time:  1, zone:  28, } with 9367 nodes and 7776 elements.

{'time': 1, 'zone': 3}
{'time': 1, 'zone': 4}
{'time': 1, 'zone': 5}
{'time': 1, 'zone': 6}
{'time': 1, 'zone': 7}
{'time': 1, 'zone': 8}
{'time': 1, 'zone': 9}
{'time': 1, 'zone': 10}
{'time': 1, 'zone': 11}
{'time': 1, 'zone': 12}
{'time': 1, 'zone': 13}
{'time': 1, 'zone': 16}
{'time': 1, 'zone': 17}
{'time': 1, 'zone': 18}
{'time': 1, 'zone': 19}
{'time': 1, 'zone': 20}
{'time': 1, 'zone': 21}
{'time': 1, 'zone': 22}
{'time': 1, 'zone': 23}
{'time': 1, 'zone': 24}
{'time': 1, 'zone': 25}
{'time': 1, 'zone': 26}
{'time': 1, 'zone': 27}
{'time': 1, 'zone': 28}

If the region_scoping pin is connected, the mesh extraction is restricted to the zone IDs contained in the input Scoping/list (in this case, a face zone connected to body 18 and body 13).

meshes_23_13 = dpf.operators.mesh.meshes_provider(
    streams_container=streams, region_scoping=[23, 13], time_scoping=[3]
).eval()
print(meshes_23_13)
meshes_23_13.plot()

DPF  Meshes Container
  with 2 mesh(es)
  defined on labels: time zone

  with:
  - mesh 0 {time:  3, zone:  23, } with 357 nodes and 0 elements.
  - mesh 1 {time:  3, zone:  13, } with 7293 nodes and 6080 elements.