03.4 - Applied Aerodynamics
DATA MINING ANALYSIS ON AERODYNAMIC STEALTH DESIGN PRINCIPLES OF AIRFOIL PROFILES
S.-Y. Jin¹, Z.-H. Gao¹, S.-S. Chen¹, Y.-Q. Wang, China Aerodynamics Research and Development Center, China; ¹ Northwestern Polytechnical University, China
This paper uses random forest and isometric mapping for data mining to optimize airfoil profiles for aerodynamics and radar cross-section. Leading/trailing edge curvature and chord length significantly impact performance. Data mining establishes optimal design variable ranges for airfoil profiles with superior aerodynamic and stealth performance.