05 - Propulsion
AERODYNAMIC OPTIMIZATION OF HIGH-ALTITUDE PROPELLER COMBINED WITH MACHINE LEARNING METHOD
D. Li¹, Z. Ge¹, R. Cui¹, L. Yang¹, C. Wei¹, W. Song, Northwestern Polytechnical University, China; ¹AVIC Aerodynamics Research Institute, China
This paper presents an optimization combined with machine learning methods at high subsonic and low Reynolds number condition, in order to improve the aerodynamic efficiency of an E387-based HALE UAV propeller at design point. The machine learning methods are coupled into the propeller analysis and optimization process to keep a good balance between efficiency and accuracy.