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A robust design for a winglet based on NURBS-FFD method and PSO algorithm

机译:基于NURBS-FFD方法和PSO算法的小翼鲁棒设计

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Drag reduction has always been the emphasis and difficulty in aircraft design. For a large air freighter or airliner, the induced drag accounts for about 40% of the total drag in the cruise phase. In this case, a robust design for a winglet is implemented to an initial wing of an aircraft. For the purpose of reducing the number of design variables, the NURBS based free form deformation (NURBS-FFD) method is introduced as the parametric method in the winglet design process. An improved particle swarm optimization (PSO) algorithm based on CVTs method is adopted serving as the optimization method for the winglet design. In order to verify the reduction effect on induced drag coefficient, a discrete vortex method is established based on Biot-Savart Law. The optimization results indicate that not only the induced drag coefficient is reduced obviously but also the total drag coefficient is decreased dramatically in the meantime under the situation of the equivalent lift coefficient. (C) 2017 Elsevier Masson SAS. All rights reserved.
机译:减少阻力一直是飞机设计的重点和难点。对于大型航空货机或客机,在巡航阶段,感应阻力约占总阻力的40%。在这种情况下,将小翼的坚固设计应用于飞机的初始机翼。为了减少设计变量的数量,在小翼设计过程中引入了基于NURBS的自由形式变形(NURBS-FFD)方法作为参数方法。采用改进的基于CVTs的粒子群算法(PSO)作为小翼设计的优化方法。为了验证减小对诱导阻力系数的影响,基于Biot-Savart定律建立了离散涡旋方法。优化结果表明,在等效升力系数的情况下,不仅诱导阻力系数明显降低,而且总阻力系数显着降低。 (C)2017 Elsevier Masson SAS。版权所有。

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