ScholarWorks@경상국립대학교

초록

This study focuses on maximizing hovering thrust and minimizing the power consumption of a quad-copter system at the same time by conducting multi-dimensional optimization of aerodynamic blade shapes. This work examines geometrical design variables for blades that influence thrusts, and the lift and drag (L&D) forces are calculated based on shape changes using computational fluid dynamics (CFD). Based on both L&D forces obtained from CFD, surrogate models are generated using the response surface method (RSM). The non-dominated sorting genetic algorithm (NSGA-II) is employed to acquire optimal blade shapes. Seven alternative shape combinations are obtained from the optimal combination obtained by the NSGA-II, each with a different L and D force value. These blades are printed engines via additive manufacturing, and a thrust test is conducted to measure power consumption using a voltmeter. As a result, it was possible to derive optimal blade shape combinations that can be chosen according to the flight conditions, and one can see that the predicted flight (i.e., an operating motor of a rotor blade) time by the analytical equation to identify battery specs is a good agreement with the actual battery consumption time measured via the thrust test. © 2023, The Author(s), under exclusive licence to The Korean Society for Aeronautical & Space Sciences.

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