This post-processing tool is designed to process and visualize the results of OpenFOAM simulations using Python. It can handle various output variables such as temperature, pressure, velocity, and vorticity. The tool is designed to be flexible and can be customized for different applications.
- Supports generating contour plots of temperature, pressure, velocity, and vorticity fields.
- Allows for customization of axis mapping and normalization.
- Offers various colormap options for better data visualization.
- Provides options to display or hide mesh lines.
- Supports only 2D simulation data now.
- Python 3.6 or higher
- NumPy
- Matplotlib
- VTK
- Enum
Clone this repository to your local machine:
git clone https://github.com/yourusername/post_process.git
Navigate to the repository folder:
cd post_process
Install the required Python packages:
pip install -r requirements.txt
Edit the 'params' dictionary in 'main.py' to specify the input VTK file, desired variable ranges, colormap, and other settings.
Choose the variables you want to visualize by adding them to the 'choices' list in 'main.py'.
Run 'main.py':
python main.py
The script will generate and display the specified plots.
params = {
'vtk_file': 'path/to/your/vtk_file.vtk',
'x_range': (0.4, 0.6),
'y_range': (0.4, 0.6),
'cmap': 'coolwarm',
'meshes': 'off',
'normalization': 'on',
'axis_map': {'x': 0, 'y': 1, 'z': 2},
'z_value': 0.0005,
'component': 'all',
'with_vector': 'on'
}
choices = [Choice.VELOCITY]
post_processor = PostProcessor(params=params)
post_processor.process(choices=choices)
This example will visualize the velocity field for the specified VTK file.
We welcome contributions to improve this tool. Please submit issues or pull requests on the GitHub repository.
This project is released under the MIT License.