Using PyFluent-Visualization – Lesson 6

PyFluent-Visualization is a powerful tool within the PyAnsys ecosystem that enables users to efficiently display graphics and plot data from Fluent results. It is specifically designed to simplify the post-processing of CFD simulations by providing a user-friendly interface for visualization. One of the key features of PyFluent-Visualization is its ability to access Fluent surface-based field data as Python objects via NumPy arrays. This means that users can easily extract and manipulate data from their Fluent simulations using familiar Python syntax. In this lesson, we will learn how to use the PyFluent-Visualization package using an example CFD problem of a Static Mixer. We will learn how to display mesh surfaces, create planes, and generate iso-surfaces, among other things. We will also delve into the process of creating contours and plots, which can be used to extract specific information from our simulation results.

Important Links

PyFluent-Visualization documentation: https://visualization.fluent.docs.pyansys.com/

For additional questions or concerns, log an issue or initiate a discussion on the PyFluent repository on GitHub:

• PyFluent-Core: https://github.com/ansys/pyfluent
• PyFluent-Parametric: https://github.com/ansys/pyfluent-parametric
• PyFluent-Visualization: https://github.com/ansys/pyfluent-visualization

Workshop Files

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