faNN: 3D RANS Flow Fields for 75 Parametric Axial Fan Rotor Geometries

75 steady 3D RANS solutions for a 14-blade axial fan rotor passage across its operating map. The dataset contains flow fields for parametric blade geometries derived from six real-world primary rotors via Parablade, created by JeoaFesketto and last updated in July 2026. Computations were performed using the FINE/Turbo v18 (Euranus) solver.

Use Cases

• Training machine learning surrogate models for aerodynamic performance based on parametric geometry inputs.
• Validating computational fluid dynamics solvers against a set of 75 RANS solutions.
• Studying the impact of parametric blade geometry blending on flow field characteristics.
• Analyzing the operating map performance of axial fan rotor designs derived from six real-world examples.

Strengths

• Contains 75 distinct parametric geometry cases, providing a substantial design space for analysis.
• Geometries are derived from six named, real-world primary rotors (e.g., NASA R37, Safran LP4), suggesting practical relevance.
• Solutions are steady 3D RANS, a standard high-fidelity approach for internal flow analysis in engineering.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The parametric blending weights for generating the 75 geometries are not released, limiting reproducibility of the design process.
• Row count and file size are unknown, which may limit suitability assessment for specific computational workflows.

Provenance

Source

JeoaFesketto on Hugging Face

Collection Method

Parametric geometry generation with Parablade and subsequent computational fluid dynamics simulation using FINE/Turbo v18 (Euranus).

Freshness

Last updated 2026-07-16 12:21:57.