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Compressible-Flow DNS with Application to Airfoil Noise

机译:可压缩流DNS及其在机翼噪声中的应用

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摘要

Airfoil self-noise is the noise produced by the interaction between an airfoil with its own boundary layers and wake. Self-noise is of concern as it is an important contributor to the overall noise in many applications, e.g. wind turbines, cooling fan blades, or air frames, to name a few. The continued growth of available computing power has made direct numerical simulations (DNS) of compressible flows with application to airfoil noise possible. Challenges associated with such simulations and numerical details of a DNS code that is able to exploit modern high-performance computing systems are presented. Results obtained from DNS of flow over NACA-0012 airfoils at moderate Reynolds number are used to evaluate the accuracy of approximations commonly made in deriving trailing edge noise theories. The data are also used to identify additional noise sources present in airfoil configurations. Finally, DNS are employed to study the noise reducing effect of trailing-edge noise serrations, indicating that the noise reduction is mainly due to a changed scattering mechanisms and not a change in the incidence turbulence field.
机译:翼型自噪声是指翼型与其自身边界层和尾流之间的相互作用所产生的噪声。自噪声是令人关注的,因为它是许多应用中总体噪声的重要来源,例如风力涡轮机,冷却风扇叶片或机架等。可用计算能力的持续增长使得可压缩流的直接数值模拟(DNS)应用于机翼噪声成为可能。提出了与此类模拟和DNS代码的数字细节相关的挑战,这些挑战能够利用现代高性能计算系统。从DNS以适中的雷诺数流经NACA-0012机翼的流量获得的结果用于评估推导后缘噪声理论中通常采用的近似精度。该数据还用于识别翼型配置中存在的其他噪声源。最后,DNS被用于研究后缘噪声锯齿的降噪效果,表明降噪主要是由于散射机制的改变而不是入射湍流场的改变。

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