https://github.com/mightykatun/airfoil-flow-model

Computes aerodynamical coefficients related to the flow around an airfoil.
https://github.com/mightykatun/airfoil-flow-model

aerodynamics airfoil-analysis airfoil-generation physics physics-simulation wind-tunnel xfoil

Last synced: about 1 month ago
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Computes aerodynamical coefficients related to the flow around an airfoil.

• Host: GitHub
• URL: https://github.com/mightykatun/airfoil-flow-model
• Owner: mightykatun
• License: mit
• Created: 2023-11-10T09:52:54.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-22T08:18:02.000Z (about 2 months ago)
• Last Synced: 2024-11-22T08:27:51.454Z (about 2 months ago)
• Topics: aerodynamics, airfoil-analysis, airfoil-generation, physics, physics-simulation, wind-tunnel, xfoil
• Language: Python
• Homepage:
• Size: 449 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Airfoil Flow Analysis with Wind Tunnel Validation

Welcome to the Airfoil Flow Analysis project repository! This software computes essential aerodynamic coefficients for airfoil profiles using a robust panel method approach in Python. It accurately predicts Cp (Coefficient of pressure), Cl (lift), and Cd (drag), and provides insightful visualizations of velocity streamlines.

### Features:

- **Panel Method Implementation**: Utilizes a subdivision technique for precise aerodynamic calculations.

- **Geometry Generation**: Includes an embedded NACA airfoil generator for versatile shape configurations.

- **Integration with XFoil**: Seamless integration with XFoil for enhanced accuracy and validation.

- **Streamline Visualization**: Generates graphical representations of flow streamlines for intuitive analysis.







### Wind Tunnel Integration:

To complement the software's accuracy, a small-scale wind tunnel has been constructed. This setup includes:

- **Test Section Specifications**: 0.3m x 0.3m with a 9:1 contraction ratio.

- **Measurement Capabilities**: Arduino-based system for real-time data logging of lift, drag, and Cp polars.

- **Experimental Validation**: Validates software predictions against empirical data with a high degree of correlation (within 15% error margin).

For more details on the wind tunnel design and integration, visit [ldak.dev/projects/wind-tunnel](https://ldak.dev/projects/wind-tunnel).

### Future Developments:

Continued efforts are focused on:

- **Enhancing Computational Efficiency**: Optimizing code for faster calculations and expanded modeling capabilities.

- **Improving Accuracy**: Refining algorithms for more precise aerodynamic predictions across various airfoil shapes.

Feel free to explore and contribute!