전기추진 항공기용 프로펠러의 다단 형상 최적 설계

Abstract

In this study, we present that multi-stage design framework for aerodynamic design optimization of rotary wing such as propeller and helicopter rotor blades. Strategy of the proposed framework is to enhance aerodynamic performance using both planform and sectional design optimization iteratively. In first stage of planform design, we used genetic algorithm and blade element momemtum theory(BEMT) based on two dimensional aerodynamic database to find optimal planform variables in short time. After initial design, local flow conditions of blade sections are calculated. Next stage, sectional design optimization is conducted using two dimensional Navier-Stokes' analysis and gradient based optimization algorithm. When optimal shapes are determined, planform design is performed again. Through the iterative design process, not only optimal flow condition but also shape could be acquired. To validate the framework, design optimization for propeller which operated in electric aerial vehicle system were performed. As a results, about 8% of efficiency enhancement has acquired