Update use_api_internal authored by Adrien Crovato's avatar Adrien Crovato
## Internal API ## Internal API
The internal API is meant for users wanting to run a standard computational procedure on a classic lifting configuration. The procedures that are currently implemented can be found under [api/internal](https://gitlab.uliege.be/am-dept/dartflo/blob/master/dart/api/internal): The internal API is meant for users wanting to run a standard computational procedure on a classic lifting configuration. The procedures that are currently implemented can be found under [api/internal](https://gitlab.uliege.be/am-dept/dartflo/blob/master/dart/api/internal):
- a [polar](https://gitlab.uliege.be/am-dept/dartflo/blob/master/dart/api/internal/polar.py) analysis, to compute the aerodynamic coefficients for various angles of attack, - a [polar](https://gitlab.uliege.be/am-dept/dartflo/blob/master/dart/api/internal/polar.py) analysis, to compute the aerodynamic coefficients for various angles of attack,
- a [trim](https://gitlab.uliege.be/am-dept/dartflo/blob/master/dart/api/internal/trim.py) analysis, to find the angle of attack that produces a desired lift coefficient. - a [trim](https://gitlab.uliege.be/am-dept/dartflo/blob/master/dart/api/internal/trim.py) analysis, to find the angle of attack that produces a desired lift coefficient.
Sample cases making use of the internal API can be found under [cases](https://gitlab.uliege.be/am-dept/dartflo/blob/master/dart/cases). Sample cases making use of the internal API can be found under [cases](https://gitlab.uliege.be/am-dept/dartflo/blob/master/dart/cases).
**1. Defining the parameters** **1. Defining the parameters**
In practise, all the internal APIs use the [Core API](use_api_core) to initialize DART using a dictionary of parameters. Some additional parameters need to be defined and are listed hereunder. In practise, all the internal APIs use the [Core API](use_api_core) to initialize DART using a dictionary of parameters. Additional configuration dicts must be provided and are listed hereunder.
Additional common parameters: Additional dict for post-processing:
```python ```python
# Post-pro post_cfg = {
cfg['Slice'] = list of float # y-coordinates of cutting planes to extract slices on the geometry (optional, will only work with VTK) 'cut_tag': int # id of physical group to be sliced (can be obtained through Gmsh)
cfg['TagId'] = int # id of physical group to be sliced (id can be obtained through gmsh) 'y_slices': list(float) # y-coordinates of cutting planes to extract slices on the geometry (will only work if output format is VTK)
``` }
Additional parameters specific to Polar class: ```
```python Additional dict for polar calculation:
cfg['AoA_begin'] = float # first value of the angle of attack [degrees] ```python
cfg['AoA_end'] = float # last value of the angle of attack [degrees] polar_cfg = {
cfg['AoA_step'] = float # step in the angle of attack [degrees] 'aoas': list(float) # list of angles of attack [deg] (optional, default=[0])
``` }
Additional parameters specific to Trim class: ```
```python Additional dict for trim calculation:
cfg['CL'] = float # target lift coefficient ```python
cfg['AoA'] = float # guess (first) angle of attack trim_cfg = {
cfg['dCL'] = float # guess (first) slope of CL w.r.t AoA [1/rad] 'cl_target': float, # target lift coefficient (optional, default=0)
``` 'aoa_init': float, # guess (first) angle of attack [deg] (optional, default=0)
'cl_slope': float # guess (first) slope of CL w.r.t AoA [1/rad] (optional, default=6.3)
**2. Using the solver** }
After the parameters have been defined, the solver can be set up automatically by instantiating the object as, ```
```python
import dart.api.internal.polar as pol **2. Using the solver**
polar = pol.Polar(cfg) After the parameters have been defined, the solver can be set up automatically by instantiating the object as,
# or ```python
import dart.api.internal.trim as trm import dart.api.internal.polar as pol
trim = trm.Trim(cfg) polar = pol.Polar(cfg, polar_cfg, post_cfg=None)
``` # or
The script can then be run by calling, import dart.api.internal.trim as trm
```python trim = trm.Trim(cfg, trim_cfg, post_cfg=None)
polar.run() ```
# or The script can then be run by calling,
trim.run() ```python
``` polar.run()
Finally, the results can be displayed using, # or
```python trim.run()
polar.disp() ```
# or Finally, the results can be displayed using,
trim.disp() ```python
``` polar.disp()
# or
trim.disp()
```