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.
An all in one airfoil modelling, meshing, analysis, and optimization tool with built in support for gmsh, SU2, and xfoil
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
A simple proof-of-concept to optimize airfoils with OpenFOAM and differential evolution.
A generator of aerodynamic airfoils based on a VAE architecture
Python package for creating regular air- and hydrofoils, but also experimental and multi-element airfoils
Computes aerodynamical coefficients related to the flow around an airfoil.
Program to design and analyze Von Mises Airfoils with conformal mapping
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