Data-Efficient Machine Learning for Airfoil Prediction via Targeted Data Augmentation

Abstract

AbstractOptimizing airfoil geometry is critical for improving rotorcraft efficiency by directly influencing blade lift and drag forces. However, the inherent nonlinearity of fluid dynamics and the high dimensionality of design space make airfoil geometry ...Practical ApplicationsOptimizing airfoil shapes is critical for improving the performance and energy efficiency of rotorcraft, such as helicopters and drones. Traditional approaches rely on complex and time-consuming computational fluid dynamics ...