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A Computational Framework for Helicopter Fuselage Drag Reduction Using Vortex Generators

机译:使用涡流发生器降低直升机机身阻力的计算框架

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摘要

A computational framework is described for the computational fluid dynamics (CFD) simulation of a bluff helicopter fuselage equipped with vortex generators (VGs). The VGs are explicitly discretized in the CFD mesh, using an overset grid method. A computational setup was developed allowing parametric investigations for VG size, pitch angle, position, number, arrangement, and thickness effects. High-density meshes were generated with successive grid overlap between body-fitted meshes with high grid resolution in the boundary layer and Cartesian grids for the near and far field. The methodology was applied to the model-scale GOAHEAD model with sponsons. This model permits drag reduction by passive flow control on the model back ramp where the pronounced upsweep is responsible for a large separated flow at the backdoor/tail-boom junction. A test matrix was completed, and a VG layout proved its effectiveness for an eight-pair array of counterrotating zero-thickness vane-type VGs, with the device height defined according to the local boundary layer thickness. At cruise conditions, some VG configurations tested achieve up to 5% drag reduction by cumulated effects of flow reattachment, limited device drag, and static pressure recovery.
机译:描述了一种用于计算装有涡流发生器(VG)的钝翼直升机机身的计算流体力学(CFD)模拟的计算框架。使用重设网格方法在CFD网格中将VG明确离散化。开发了一种计算设置,可以对VG尺寸,俯仰角,位置,数量,排列和厚度影响进行参数研究。生成高密度网格,在边界层中具有高网格分辨率的贴身网格与笛卡尔网格之间具有连续的网格重叠,用于近场和远场。将该方法应用于带有自发的模型规模GOAHEAD模型。该模型允许通过模型后坡道上的被动流量控制来减少阻力,其中明显的上扫是造成后门/尾杆臂交界处较大分离气流的原因。完成了一个测试矩阵,并且VG布局证明了其对八对反向旋转的零厚度叶片型VG阵列的有效性,其器件高度根据局部边界层厚度定义。在巡航条件下,经过测试的某些VG配置通过流量重新连接,有限的设备阻力和静压恢复的累积效应实现了高达5%的阻力降低。

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