Enhance your two-phase turbomachinery CFD simulations with barotropy, a Python package designed to create barotropic fluid property models. The barotropic approximation assumes that fluid properties (e.g., density, viscosity, speed of sound) depend solely on pressure, which is a very accurate assumption for most turbomachinery flows. This simplification reduces computational costs while improving convergence reliability in simulations involving complex fluid property variations, such as supercritical CO₂ compressors or two-phase flows in nozzles and turbines.
📦 PyPI package: https://pypi.org/project/barotropy/
📚 Documentation: https://turbo-sim.github.io/barotropy/ (under construction)
🎓 Tutorials: https://turbo-sim.github.io/barotropy/source/tutorials.html
Step-by-step examples for using the barotropic model in CFD solvers like Ansys Fluent and CFX.
- Simplified fluid modeling: Generate barotropic models to lower computational cost and enhance solver robustness compared to real-gas fluid property tables.
- Suited for homogeneous two-phase flows: Simulate two-phase flows with one or two-components using the Homogeneous Equilibrium Model (HEM) or the Delayed Equilibrium Model (DEM) assumptions..
- Seamless integration with commercial CFD solvers: Easily export barotropic models as simple expressions ready to be copy-pasted into ANSYS Fluent or ANSYS CFX.
To begin using barotropy, install it via pip:
pip install barotropyAfter installation, verify that everything is set up correctly by running the following command in your terminal:
python -c "import barotropy; barotropy.print_package_info()"For detailed information and examples, visit the documentation page.
The code in this repository is licensed under the terms of the MIT license. See the license file for more information.
The code in this repository was developed by the Sustainable Thermal Power group at DTU Construct. Drop us an email at roagr@dtu.dk if you have questions about the code or have a bug to report!