I'm working on optimizing a Ventricular Assist Device (VAD) using ANSYS and want to implement a full factorial Design of Experiments (DOE). However, with multiple input parameters across four components (blades, housing, etc.), manual configuration is impractical.

1. What's the most robust way to automate this multi-step ANSYS workflow?

- Considering Journaling vs. ACT vs. PyANSYS vs. DesignXplorer

2. Has anyone implemented similar VAD optimization and can share best practices?

3. Are there template scripts or examples for automating:

- Parameter variation in BladeGen/TurboGrid

- Batch CFD simulation with streamline generation

- Automated extraction of performance metrics?

4. Any recommendations for handling the large dataset from full factorial DOE?