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Numerical and Experimental Investigation and Optimization of a Morphing Airfoil

机译:变形翼型的数值和实验研究和优化

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The recent developments in smart material technologies generated several researches involving their application in the aeronautical field. New methods for geometry variation have been developed as a superior means of aircraft adaptation. The morphing concept is not recent, since several ways of adapting wings have been incorporated during the past few decades. However, the new technologies in smart materials allow more efficient airplane adaptation, improving its performance in a wide variety of flight conditions. The continuous and active camber variation is one way to contribute with this research field. The Unmanned Aerial Vehicles (UAVs) and Micro Air Vehicles (MAVs) should be the first class of aircraft to have their performance improved with this technology. The main motivation of this work is the design, manufacture, optimization and test of a morphing airfoil with continuous camber variation. A composite piezoelectric material known as Macro-Fiber Composite (MFC) is used as an actuator. In order to determine the ideal morphing airfoil shape for each flight condition of a determined aircraft an optimization process employing a genetic algorithm is presented. Numerical simulations are performed using the geometries experimentally measured. The aerodynamic performance of the morphing airfoil is compared to a conventional flapped airfoil as well as with a profile of fixed geometry.
机译:智能材料技术最近的发展产生了若干研究,涉及其在航空领域的应用。已经开发出新的几何变化方法作为飞机适应的优越方法。变形概念不是近期的,因为在过去的几十年里已经纳入了几种调整翅膀的方式。然而,智能材料中的新技术允许更有效的飞机适应,从各种飞行条件下提高其性能。连续和主动的弯曲变异是与该研究领域有贡献的一种方式。无人驾驶航空公司(无人机)和微型航空公司(MAVS)应该是第一类飞机,以便在这项技术提高其性能。这项工作的主要动机是具有连续露珠变异的变形翼型的设计,制造,优化和测试。称为宏观纤维复合物(MFC)的复合压电材料用作致动器。为了确定所确定的飞机的每个飞行条件的理想变形翼型形状,呈现了采用遗传算法的优化过程。使用实验测量的几何模拟进行数值模拟。变形翼型的空气动力学性能与传统的托架翼型以及固定几何形状的轮廓进行比较。

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