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Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
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.
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.