xfoil

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

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

A Python module for modeling airfoils

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.

Tools for airfoil polar preparation and processing

FoilNet is a deep learning framework that combines a WGAN-GP-based generator and a CNN/MLP predictor to create and evaluate realistic airfoil geometries. Using Bézier smoothing for post-processing, it enables fast, flexible airfoil design and performance prediction from purely data-driven models.

PythonXfoil is a Python module that provides an interface to natively and intuitively run concurrent aerodynamic analyses using XFOIL. It allows users to define airfoil geometries, set analysis parameters, and execute XFOIL simulations programmatically. Its focus is to provide an intuitive and easy-to-use alternative to similar modules.

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

An aerodynamic shape optimization algorithm for 2D airfoils.

Project on Inverse Airfoil Design

AeroFramework: Aerodynamic analysis suite for Flow5 v7.56 and Xfoil.

An easy installer for AeroPy's XFOIL Module

Computes aerodynamical coefficients related to the flow around an airfoil.

XFoil API for Python

Focused on the development of a simulator that simplifies and simulates the behaviour of an AeroSail system

Computational airfoil optimization with Python, combining aerodynamic analysis and automated shape refinement.

An AI-powered surrogate modeling tool for aerodynamic airfoil optimization.

翼型をNSGA3によって最適化するプログラム。新翼型のモデル手法として、既存翼型の混合とスプライン曲線の2種がある

Answer questions about an aeroplane. Watch it get designed. Then fly it. Bayesian optimisation over real aerodynamics, with a six degree of freedom flight simulator, in one downloadable app.

ML surrogate for airfoil design - predicts aerodynamic performance from geometry, and reverse-searches from a target performance to a matching shape. Full-stack app on top, calling the real trained models, not mock data.