TY - JFULL AU - Kyoungwoo Park and Byeong-Sam Kim PY - 2013/5/ TI - Optimal Design of Airfoil Platform Shapes with High Aspect Ratio Using Genetic Algorithm T2 - International Journal of Aerospace and Mechanical Engineering SP - 583 EP - 590 VL - 7 SN - 1307-6892 UR - https://publications.waset.org/pdf/14642 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 76, 2013 N2 - Unmanned aerial vehicles (UAVs) performing their operations for a long time have been attracting much attention in military and civil aviation industries for the past decade. The applicable field of UAV is changing from the military purpose only to the civil one. Because of their low operation cost, high reliability and the necessity of various application areas, numerous development programs have been initiated around the world. To obtain the optimal solutions of the design variable (i.e., sectional airfoil profile, wing taper ratio and sweep) for high performance of UAVs, both the lift and lift-to-drag ratio are maximized whereas the pitching moment should be minimized, simultaneously. It is found that the lift force and lift-to-drag ratio are linearly dependent and a unique and dominant solution are existed. However, a trade-off phenomenon is observed between the lift-to-drag ratio and pitching moment. As the result of optimization, sixty-five (65) non-dominated Pareto individuals at the cutting edge of design spaces that are decided by airfoil shapes can be obtained. ER -