NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.

PyAero is an open-source airfoil contour analysis and CFD meshing tool.

A Python module for modeling airfoils

optimizes an Airfoil for a blended wing body using cfd analysis with su2 and optimization by openMdao

An all in one airfoil modelling, meshing, analysis, and optimization tool with built in support for gmsh, SU2, and xfoil

This repository contains code development for the 4th credit project for AE416. The aim of the project is to compare different optimization algorithms in the context of airfoil optimization.

Parametrization of the geometry of a turbine blade given the 11 parameters as explained in: L.J. Pritchard: An eleven parameter axial turbine airfoil geometry model

An object-oriented Python 3 GUI and API for single- and multi-element parametric airfoil design, analysis, and optimization

Simple GUI for PROFOIL

Optimization of an airfoil through a genetic algorithm.

Generative UAV models based on CadQuery

A simple framework that automatically generates SU2 configuration (.cfg) files and make calls to SU2 to perform aeroelastic simulations all within Python. The Matrix Pencil method is then used to compute the damping coefficient.

Airfoil Design project with Reinforcement Learning

Tools for airfoil polar preparation and processing

Analyse any airfoil from UIUC database in xfoil and obtain results.

A simple, open source airfoil simulator created with Python and Pygame

A set of tools that let you analyze the aerodynamic performance of wings and airfoils using models such as TaT,LLT and VLM.

Applying a Multi-Layer Perceptron Deep Neural Network to predict Lift and Drag performance of airfoils

A minimal framework for creating parameterized airfoil geometries

Computes velocity and pressure coefficient around an airfoil. Code was translated from (Kuethe & Chow, 1986) p. 134.