Comparative Analysis of Different Profiles of Riblets on an Airfoil using Large Eddy Simulations

Aryan Tyagi, A. Ghosh, Rajkumar Singh
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Abstract

Nature has adapted throughout its existence, from humans to fishes, and amongst these adaptations, several nature-driven optimizations have made species better suited to the current environment. These optimizations can be found in Mako Sharks, which have developed geometric surface patterns that allow them to move faster. These patterns have been named riblets, and it is observed that they induce skew-induced secondary flows, which improve the overall flow behavior around the sharks. Secondary flows create a pocket of low-velocity air in the ridges, resulting in the high-speed flow being concentrated on the tips of the riblets, further resulting in reduced shear stress. Moreover, the vortical motion of the secondary flows allows a more significant transfer of energy in the boundary layer, which aids in delaying the boundary layer separation. Most of the numerical studies regarding various shapes of riblets have been carried out on flat plates using a Reynolds Averaged Navier-Stokes (RANS) approach. This study focuses on four profiles of riblets: sawtooth, scalloped, blade, and inverted U-shape, attached to the airfoil, and develops a Large Eddy Simulation (LES) framework to simulate the flow. LES resolves eddies of larger scales while modeling the smaller eddies. This allows the simulation to capture the secondary flow over the airfoil with much greater detail and accuracy when compared to RANS, which averages the fluid flow over time. The drag coefficient at various angles of attack was compared against the drag coefficient values of the bare airfoil. The scalloped riblets showed the maximum reduction in drag coefficient (8 % lesser than the bare airfoil), followed by sawtooth, inverted U-shape, and blade-shape. The LES produced accurate contours of velocity, which conform to existing research. The wall shear stress was also post-processed to find similarities between existing research and the proposed LES framework. It was observed that the wall shear stress was concentrated on the riblet-tips instead of the whole upper surface of the airfoil. Another focus of this research was to reduce the simulation's computational load, which is done by using the Spalart-Allmaras DDES solver and reducing mesh time while maintaining the accuracy of the simulation framework.
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基于大涡模拟的翼型不同纹线的对比分析
从人类到鱼类,大自然在其存在的过程中不断适应,在这些适应中,一些自然驱动的优化使物种更好地适应了当前的环境。这些优化可以在灰鲭鲨身上找到,它们已经形成了几何表面图案,可以让它们移动得更快。这些模式被命名为条纹,观察到它们诱导了斜诱导的二次流,这改善了鲨鱼周围的整体流动行为。二次流在脊状结构中形成了一个低速空气袋,导致高速气流集中在脊状结构的尖端,从而进一步降低了剪切应力。此外,二次流的涡旋运动使得边界层中的能量传递更为显著,这有助于延迟边界层分离。大多数关于不同形状的波纹的数值研究都是使用雷诺平均纳维-斯托克斯(RANS)方法在平板上进行的。本文主要研究了附着在翼型上的锯齿形、扇形、叶片形和倒u形四种肋型,并开发了一个大涡模拟(LES)框架来模拟流动。在模拟较小的涡流时,LES可以解析较大尺度的涡流。这使得模拟捕捉二次流在翼型与更大的细节和准确性时,相比于RANS,平均流体流动随着时间的推移。阻力系数在各种迎角进行了比较,对阻力系数值的裸露翼型。扇形波纹显示阻力系数的最大减少(比裸翼型小8%),其次是锯齿形,倒u形和叶片形。LES产生了精确的速度等高线,与现有的研究结果一致。墙体剪应力也进行了后处理,以发现现有研究与提出的LES框架之间的相似性。观察到,壁面剪切应力集中在弹孔尖端,而不是整个上表面的翼型。本研究的另一个重点是减少仿真的计算负荷,这是通过使用Spalart-Allmaras DDES求解器和减少网格时间来实现的,同时保持仿真框架的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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