Welcome!
What is the Large Airfoil Model?
Large Airfoil Model (LAM) is a machine learning airfoil aerodynamics analysis tool, trained on strictly experimental data. It can be used to predict airfoil surface pressure distributions, integrated force and moment coefficients, including their uncertainties. As a probabilistic model, LAM has incorporated the experimental uncertainties from each source material for inference.
Features
- Prediction of airfoil pressure, integrated force, and moment coefficients including the uncertainty at various Mach numbers and angles of attack
- Significantly faster computation time than traditional Navier-Stokes solvers
- Accurate prediction of complex aerodynamic phenomena (e.g. compressibility effects, flow separation) compared to low-fidelity potential flow solvers
- Live visualization of your results online
How to use
- Select or manually enter the coordinates of the airfoil that you want to analyze
- Enter the target Mach number and angle of attack
- (Optional) Choose the resolution output \(C_p\) distribution
- Click "Analyze"