PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
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Updated
Feb 11, 2021 - Python
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
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 all in one airfoil modelling, meshing, analysis, and optimization tool with built in support for gmsh, SU2, and xfoil
PROFOIL for inverse airfoil design
This MATLAB live code tool can morph any given airfoil file with user-defined flap and slat settings. There are two types of flaps and slats that can be generated - Hinged and Continuous
Geometry for fluid dynamics
A generator of aerodynamic airfoils based on a VAE architecture
A Julia implementation of the Modified Garabedian-McFadden Method (MGM) for airfoil inverse design
Computer science project: Yukovski implementation in C - BSc Aerospace Engineering, University of Leon
Program to design and analyze Von Mises Airfoils with conformal mapping
Using diffusion models to generate 2D airfoil, with an optimization loop via conditional generation.
Low-Windspeed Airfoil Optimization for Bikes
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