Machine Learning to Predict Aerodynamic Stall
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DOI: 10.1080/10618562.2023.2171021
Abstract: A convolutional autoencoder is trained using a database of airfoil aerodynamic simulations and assessed in terms of overall accuracy and interpretability. The goal is to predict the stall and to investigate the ability of the… read more here.
Keywords: stall; aerodynamic stall; airfoil; machine learning ... See more keywords