Boost Your CFD Productivity with Python API
Part I, II and III – CadenceBLOG

If you’re in the field of computational fluid dynamics testing or studies, you already know how much time and effort it takes to complete the tasks involved. Hours upon hours are spent on geometry clean-up, meshing, and post-processing. Furthermore, when you’re dealing with similar models that have new constraints or dimensions, the work can feel tedious. But don’t worry! There’s a way to simplify all of this: Automation.

By automating the CFD workflow, you can save yourself countless hours. This is especially useful when optimising variables for a design to get the best output, which often requires multiple runs of the model. With automation, you can simulate the maximum number of cases in the allotted time frame, giving you a significant advantage in the product design life cycle. The best part is that the Fidelity Python application programming interface (API) is here to help you achieve this by automating any CFD workflow to boost the productivity of your design cycle.

Boost Your CFD Workflow Productivity with Fidelity Python API

  • Topics Part I
    – Why an API?
    – Why Python?
    – About Fidelity Python API

  • Topics Part II
    – How to write Python Scripts for Fidelity
    – Benefit From Our Resources and Offerings

  • Topics Part III
    – Project Template Creation
    – Automatic CFD Workflow – Pre-Processing to Post-Processing
    – Full Workflow: From Design to Simulation