ansys-fluent-core 0.11.0

Pythonic interface to Ansys Fluent

Overview

PyFluent provides Pythonic access to Ansys Fluent. Its features enable the seamless use of Fluent within the Python ecosystem and broad access to native Fluent features, including the ability to:

• Launch Fluent using a local Ansys installation

• Use Fluent’s TUI (text user interface) commands for both meshing and solver features

• Use Fluent’s built-in postprocessing capabilities

Documentation and issues

For comprehesive information on PyFluent, see the latest release documentation.

On the PyFluent Issues page, you can create issues to submit questions, report bugs, and request new features. To reach the PyAnsys support team, email [e-mail].

Installation

The ansys-fluent-core package supports Python 3.7 through Python 3.10 on Windows and Linux.

Install the latest release from PyPI with:

pip install ansys-fluent-core

If you plan on doing local development of PyFluent with Git, install the latest release with:

git clone https://github.com/pyansys/pyfluent.git
cd pyfluent
pip install pip -U
pip install -e .
python codegen/allapigen.py  # Generates the API files

Dependencies

You must have a licensed copy of Ansys Fluent installed locally. PyFluent supports Fluent 2022 R2 and later.

Getting started

Launching Fluent

To launch Fluent from Python, use the launch_fluent method:

import ansys.fluent.core as pyfluent
session = pyfluent.launch_fluent(mode="solver")
session.check_health()

To use a non-default installation location, set the PYFLUENT_FLUENT_ROOT environment variable to the <version>/fluent directory, where <version> is the Fluent release that you would like to use. For example, v222 uses release 2022 R2.

Basic Usage

You can use the session.solver.tui interface to run all Fluent TUI commands:

session.solver.tui.file.read_case('elbow.cas.h5')
session.solver.tui.define.models.unsteady_2nd_order("yes")
session.solver.tui.solve.initialize.initialize_flow()
session.solver.tui.solve.dual_time_iterate(2, 3)

You can also install and use these PyFluent libraries:

• PyFluent Parametric, which provides access to Fluent’s parametric workflows.

• PyFluent Visualization, which provides postprocessing and visualization capabilities using the pyvista and matplotlib packages.

License and acknowledgments

PyFluent is licensed under the MIT license.

PyFluent makes no commercial claim over Ansys whatsoever. This library extends the functionality of Ansys Fluent by adding a Python interface to Fluent without changing the core behavior or license of the original software. The use of the interactive Fluent control of PyFluent requires a legally licensed local copy of Fluent.

For more information on Fluent, see the Ansys Fluent page on the Ansys website.