During my first year of college, I had the opportunity to work with a graduate aerospace engineering student with a group of my peers to work on a machine learning program that optimized airfoils for a wind turbine. Our main job was to generate data using Matlab to run airfoil coordinates through XFoil. This data would then go on to train the machine learning model that operated through Jupyter Notebook to produce this data with much greater efficiency.
Throughout the course of the semester, we worked together to generate this data and incorporate it into the machine learning program, and by the end of the semester, we had a product that could generate airfoil data with the high quality that Computational Fluid Dynamics (CFD) provides and the speed that XFoil provides with a 97% accuracy rate.
