BEMT-driven neural network for aerodynamic performance prediction and optimisation of high-altitude UAV propellers
This study proposes an efficient aerodynamic prediction and optimisation framework integrating blade element momentum theory (BEMT), a Bayesian-optimised aerodynamic residual network (BO-ARN), and a genetic algorithm (GA) for high-altitude long-endurance solar UAV propellers under stratospheric low-Reynolds-number co...