Skip to main content

A Python tool for barotropic fluid property modeling.

Project description

Barotropy

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.

Key Features

  • 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.

🚀 User installation (via PyPI)

To begin using barotropy, install it via pip:

pip install barotropy

After 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.

License

The code in this repository is licensed under the terms of the MIT license. See the license file for more information.

Contact 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!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

barotropy-0.2.7.tar.gz (80.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

barotropy-0.2.7-py3-none-any.whl (93.1 kB view details)

Uploaded Python 3

File details

Details for the file barotropy-0.2.7.tar.gz.

File metadata

  • Download URL: barotropy-0.2.7.tar.gz
  • Upload date:
  • Size: 80.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.11.13 Linux/6.11.0-1015-azure

File hashes

Hashes for barotropy-0.2.7.tar.gz
Algorithm Hash digest
SHA256 ee3eba10b050c75b6fd252d9518bd013c126033e5ff8e8b60cc57c54f95fb68e
MD5 2c8bb9eca7ae13e9d0940c0b6dfb0797
BLAKE2b-256 2fa15fb54546487928e581dca998e873893d01535365063c9cd3172c147fea39

See more details on using hashes here.

File details

Details for the file barotropy-0.2.7-py3-none-any.whl.

File metadata

  • Download URL: barotropy-0.2.7-py3-none-any.whl
  • Upload date:
  • Size: 93.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.11.13 Linux/6.11.0-1015-azure

File hashes

Hashes for barotropy-0.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 03172ae0280c28bf0b88ed67e2f077ae1be7403ab64a274b08890f6f53999f76
MD5 d8cde6928d30f6aca34655835e2dd63f
BLAKE2b-256 fb046e1a0f6de0e898e66962130bdff2dda1bb33ec22b050960f3c2f8c800cd1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page