SVAR data#
An SVAR is an array variable that holds the data for a particular solved field (such as pressure or velocity). You can use svar_info and svar_data objects to access Fluent SVAR info and data respectively.
Accessing SVAR objects#
Launch the fluent solver, and make SVAR objects available (for example, by reading case and data files):
>>> import ansys.fluent.core as pyfluent
>>> from ansys.fluent.core import examples
>>> import_filename = examples.download_file("mixing_elbow.msh.h5", "pyfluent/mixing_elbow")
>>> solver = pyfluent.launch_fluent(mode="solver")
>>> solver.file.read(file_type="case", file_name=import_filename)
The svar_info and svar_data objects are attributes of the solver object:
>>> svar_info = solver.svar_info
>>> svar_data = solver.svar_data
SVAR info#
SVAR metadata information can be accessed via the following svar_info methods:
get_zones_infofor zone information.get_svars_infofor SVAR information.
Get zone information#
You can access zone information by calling the get_zones_info method.
>>> zones_info = svar_info.get_zones_info()
>>> zones_info.domains
['mixture']
>>>
>>> zones_info.zones
['fluid', 'wall', 'symmetry', 'pressure-outlet-7', 'velocity-inlet-6', 'velocity-inlet-5', 'default-interior']
>>>
>>> zone_info = zones_info['wall']
>>>
>>> zone_info
name:wall count: 3630 zone_id:3 zone_type:wall thread_type:Face
>>>
>>> zone_info.name
'wall'
>>>
>>> zone_info.count
3630
>>>
>>> zone_info.zone_id
3
>>>
>>> zone_info.zone_type
'wall'
Get SVAR information#
You can request SVARs information for a given domain_name and list of zone_names
by calling the get_svars_info method.
>>> svars_info_wall_fluid = svar_info.get_svars_info(zone_names=['wall' , "fluid"], domain_name="mixture")
>>>
>>> svars_info_wall_fluid.svars
['SV_CENTROID', 'SV_D', 'SV_H', 'SV_K', 'SV_P', 'SV_T', 'SV_U', 'SV_V', 'SV_W']
>>>
>>> svar_info_centroid = svars_info_wall_fluid['SV_CENTROID']
>>>
>>> svar_info_centroid
name:SV_CENTROID dimension:3 field_type:<class 'numpy.float64'>
>>>
>>>svar_info_centroid.name
'SV_CENTROID'
>>>
>>>svar_info_centroid.dimension
>>>3
>>>
>>>svar_info_centroid.field_type
<class 'numpy.float64'>
SVAR data#
SVAR data can be extracted and modified via the following svar_data object methods:
get_svar_datato get SVAR data.set_svar_datato set SVAR data.
Get SVAR data#
You can request SVAR data for a given domain_name and multiple zone_names by calling
the get_svar_data method and passing the particular svar_name.
>>> sv_t_wall_fluid= svar_data.get_svar_data(svar_name="SV_T", zone_names=["fluid", "wall"], domain_name="mixture")
>>>
>>> sv_t_wall_fluid.domain
'mixture'
>>>
>>> sv_t_wall_fluid.zones
['fluid', 'wall']
>>>
>>> fluid_temp = sv_t_wall_fluid['fluid']
>>>
>>> fluid_temp.size
13852
>>>
>>> fluid_temp.dtype
'float64'
>>>
>>> fluid_temp
array([600., 600., 600., ..., 600., 600., 600.])
Set SVAR data#
You can set SVAR data for a given domain_name by calling the set_svar_data
method and passing required svar_name and dictionary of zone_name
to numpy array of svar_data
Additionally svar_data object also supports get_array method. This method can be used to
generate numpy zeros array for a given domain_name, zone_name and
svar_name. This array can be populated and passed to set_svar_data.
>>> wall_temp_array = svar_data.get_array("SV_T", "wall", "mixture")
>>> fluid_temp_array = svar_data.get_array("SV_T", "fluid", "mixture")
>>> wall_temp_array[:] = 500
>>> fluid_temp_array[:] = 600
>>> zone_names_to_svar_data = {'wall':wall_temp_array, 'fluid':fluid_temp_array}
>>> svar_data.set_svar_data(svar_name="SV_T", zone_names_to_svar_data=zone_names_to_svar_data, domain_name="mixture")
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Provide access to Fluent SVARs and Zones information. |
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Provides access to Fluent SVAR data on zones. |