PAV용 인공지능설계 프로펠러의 공력특성 분석

초록

In addition to the fact that the domestic and international developments of PAV rely on the propeller aerodynamic performances e.g. thrust, efficiency, they become evidently important factors because they are directly related to the passenger’s safety. In this study, to improve the aerodynamic performance of counter-rotating propellers of PAVs, the design of a propeller satisfying the desired performances is optimized based on airfoils generated via Artificial Intelligence (AI) algorithm, and its measured performance is verified by using a performance testing zig which facilitates the measurements of thrusts and powers at the specific rpms. The design variables for AI-design are the stagger angle, chord length, Reynolds number, lift and drag. The new CFRP-machined model was tested and analyzed to compare with the bio-mimetic model. The aerodynamic performances are simulated and compared using Large-Eddy Simulation (LES) for the AI model and the bio-mimetic model.

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