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Prediction of the unsteady turbulent flow in an axial compressor stage. Part 1: Comparison of unsteady RANS and LES with experiments

机译:轴向压缩机级中非稳态湍流的预测。第1部分:不稳定RANS和LES与实验的比较

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摘要

A better understanding of turbulent unsteady flows is a necessary step towards a breakthrough in the design of modern gas turbine components. With the increase in computing power, LES emerges as a promising method to improve both knowledge of complex physics and reliability of flow solver predictions. However, there is still a lack of evidences in the literature that LES is applicable for turbomachinery at conditions relevant to industrial applications. In that context, the objective of the present work is to investigate the capability of LES to predict the turbulent flow in a stage of an axial compressor and compare the results with unsteady RANS data and experiments. The compressor operates at industrial relevant conditions, with Mach and Reynolds numbers equal to M = 0.5 and Re = 700,000, respectively. This paper presents the numerical method and a comparison of URANS and LES results to experimental data. A particular care is brought to estimate theresults sensitivity to grid reffinement (LES) and to turbulence and transition modelling (URANS). The comparison to experiments shows that LES better predicts time-dependent quantities than URANS, especially close to the casing. However, both URANS and LES fail to accurately estimate the compressor performance (efficiency and pressure ratio).
机译:更好地理解湍流非恒定流是实现现代燃气轮机部件设计突破的必要步骤。随着计算能力的提高,LES成为一种有前途的方法,可以提高复杂物理知识和流求解器预测的可靠性。但是,文献中仍缺乏证据表明LES可在与工业应用相关的条件下应用于涡轮机械。在这种情况下,本工作的目的是研究LES预测轴向压缩机级湍流的能力,并将结果与​​不稳定的RANS数据和实验进行比较。压缩机在工业相关条件下运行,马赫数和雷诺数分别等于M = 0.5和Re = 700,000。本文介绍了数值方法,并将URANS和LES结果与实验数据进行了比较。需要特别注意估计结果对栅格精化(LES)以及湍流和过渡建模(URANS)的敏感性。与实验的比较表明,与URANS相比,LES能更好地预测与时间有关的数量,尤其是在靠近套管的位置。但是,URANS和LES均无法准确估算压缩机性能(效率和压力比)。

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    Gourdain Nicolas;

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  • 年度 2015
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