A synthetic dataset of axial fan aerodynamic performance for training surrogate models.
This dataset contains 10,000 samples (8000 train / 2000 test) of axial fan designs with their predicted aerodynamic performance. Each sample maps 14 geometric and operating parameters to 8 performance metrics.
The data was generated using established turbomachinery correlations (Euler equation, Lieblein loss model, Denton tip clearance… See the full description on the dataset page:
https://huggingface.co/datasets/harshaperla/fan-design-dataset.
