Evaluate#
The TwinModel <ansys.pytwin.TwinModel class implements a higher-level
abstraction to facilitate the manipulation and execution of a twin model.
|
Evaluates a twin model in a TWIN file created by Ansys Twin Builder. |
Workflow example#
This code shows how to set up and evaluate a twin model.
>>> from pytwin import TwinModel, download_file, load_data
# Download the input files
>>> twin_file = download_file("CoupledClutches_23R1_other.twin", "twin_files")
>>> csv_input = download_file("CoupledClutches_input.csv", "twin_input_files")
>>> twin_config = download_file("CoupledClutches_config.json", "twin_input_files")
# Load the CSV file containing the twin input data over time
>>> twin_model_input_df = load_data(csv_input)
# Load and instantiate the twin model
>>> twin_model = TwinModel(twin_file)
>>> inputs = dict()
>>> for column in twin_model_input_df.columns[1::]:
... inputs[column] = twin_model_input_df[column][0]
...
# Initialize the twin model given initial input values and a configuration file for parameters values
>>> twin_model.initialize_evaluation(inputs=inputs, json_config_filepath=twin_config)
# Evaluate the twin model in batch mode and print the computed output values
>>> results_batch_pd = twin_model.evaluate_batch(twin_model_input_df)
>>> print(results_batch_pd)
Time Clutch1_torque Clutch2_torque Clutch3_torque
0 0.000 -10.000000 0.0 0.0
1 0.001 -9.999997 0.0 0.0
2 0.002 -9.999999 0.0 0.0
3 0.003 -9.999985 0.0 0.0
4 0.004 -9.999956 0.0 0.0
... ... ... ... ...
1496 1.496 0.000000 0.0 0.0
1497 1.497 0.000000 0.0 0.0
1498 1.498 0.000000 0.0 0.0
1499 1.499 0.000000 0.0 0.0
1500 1.500 0.000000 0.0 0.0
[1501 rows x 4 columns]