In this lecture, we'll cover the following:

• Consolidating previously developed meshing functions into a reusable mesh utils Python file.
• Adapting the element reordering function for internal use within the mesh utils file.
• Updating the mesh generation function to include optional arguments (node reordering and log suppression)
• Preparing the workflow for integration with a finite element analysis pipeline

In this lecture, we focus on refactoring and organising the functionality developed so far into a dedicated utility module. We take previously written functions, such as element reordering, mesh generation, and visualisation, and migrate them into a single script, making them easier to reuse across different notebooks. As part of this process, we adapt certain functions for internal use, streamline their interfaces, and introduce optional arguments to improve flexibility, such as automatic node reordering and suppression of gmsh log output.

We then demonstrate how this modular approach simplifies the workflow by reducing the amount of code needed in a notebook to just a couple of function calls. By encapsulating complexity within the utility file, we make mesh generation and visualisation more efficient and maintainable.

Next up

With the meshing utilities in place, the next section focuses on running finite element analyses using these custom-generated meshes.