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Rapid noise prediction models for serrated leading and trailing edges

机译:用于锯齿状引导和后缘的快速噪声预测模型

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Leading- and trailing-edge serrations have been widely used to reduce the leading- and trailing-edge noise in applications such as contra-rotating fans and large wind turbines. Recent studies show that these two noise problems can be modelled analytically using the Wiener-Hopf method. However, the resulting models involve infinite-interval integrals that cannot be evaluated analytically, and consequently implementing them poses practical difficulty. This paper develops easily-implementable noise prediction models for flat plates with serrated leading and trailing edges, respectively. By exploiting the fact that high-order modes are cut-off and adjacent modes do not interfere in the far field except at sufficiently high frequencies, an infinite-interval integral involving two infinite sums is approximated by a single straightforward sum. Numerical comparison shows that the resulting models serve as excellent approximations to the original models. Good agreement is also achieved when the leading-edge model predictions are compared with experimental results for sawtooth serrations of various root-to-tip amplitudes, whereas a qualitative evaluation of TE noise model shows that an accurate characterization of the wall pressure statistics beneath turbulent boundary layers is crucial for an accurate TE noise prediction. Importantly, the models developed in this paper can be evaluated robustly in a very efficient manner. For example, a typical far-field noise spectrum can be calculated within milliseconds for both the trailing-and leading-edge noise models on a standard desktop computer. Due to their efficiency and ease of numerical implementation, these models are expected to be of particular importance in applications where a numerical optimization is likely to be needed. (C) 2019 Elsevier Ltd. All rights reserved.
机译:领先和后缘锯齿已被广泛用于减少诸如旋转风扇和大型风力涡轮机等应用中的前导和后缘噪声。最近的研究表明,这两个噪声问题可以使用Wiener-Hopf方法在分析上进行模拟。然而,所产生的模型涉及无法分析评估的无限间隔积分,因此实现它们造成实际困难。本文分别为具有锯齿状引导和后缘的平板开发了易于实现的噪声预测模型。通过利用高阶模式被截止和相邻模式在远场中不会干扰除了足够高的频率之外,涉及两个无限总和的无限间隔积分由单个直接的总和近似。数值比较表明,所得模型作为原始模型的良好近似。当与各种根到尖幅度的锯齿锯齿的实验结果进行比较时,还可以实现良好的一致性,而对TE噪声模型的定性评估表明,湍流边界下方的壁压统计的精确表征层对于精确的TE噪声预测是至关重要的。重要的是,本文开发的模型可以以非常有效的方式稳健地评估。例如,可以在标准台式计算机上的尾随和前沿噪声模型中毫秒地计算典型的远场噪声频谱。由于它们的效率和易于数值实现,这些模型预计在可能需要数值优化的应用中是特别重要的。 (c)2019 Elsevier Ltd.保留所有权利。

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