Automating CFD Simulations with Ansys SpaceClaim Python Script to Name Faces

In the world of computational fluid dynamics (CFD), automating repetitive tasks and enhancing simulation capabilities is crucial for efficiency and accuracy. Ansys SpaceClaim, a powerful CAD package, offers a robust pre-processor, solver, and post-processor to help engineers streamline their workflow. One of the key challenges in CFD simulations is developing a consistent naming convention for geometry, surfaces, boundaries, and volumetric regions (domains). A well-designed automation approach can simplify this process significantly.

In Ansys SpaceClaim, Python scripts can be used to name faces programmatically. This allows users to create custom naming conventions for their geometries and domains, ensuring that their simulations are accurate and efficient. Unlike other programming languages such as PERL or FORTRAN, Python does not require interpretation or compilation before execution.

Another powerful automation tool in Ansys SpaceClaim is the ability to access solver programs directly through a high-level programming language called CCL (CFX Command Language). This allows users to create custom solvers and automate complex simulation tasks. Additionally, FLUENT UDFs (User Defined Functions) can be used to repeat simulations with changed boundary conditions or write out logs for self and peer review.

In some cases, special boundary conditions may be required, such as inlet velocity functions of both time and space. Automation scripts, journals, and macros in CFD simulations can help apply these complex boundary conditions accurately and efficiently.

By leveraging automation tools like Python scripts and FLUENT UDFs, engineers can streamline their workflow, reduce errors, and enhance the overall accuracy of their CFD simulations. With Ansys SpaceClaim's powerful CAD package and automation capabilities, users can simplify their simulation process and focus on more complex tasks.

Ansys spaceclaim python script to name faces