Direct Numerical Simulation Based Analysis of RANS Predictions of a Low-Pressure Turbine Cascade
Direct Numerical Simulation Based Analysis of RANS Predictions of a Low-Pressure Turbine Cascade
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基于直接数值模拟的低压涡轮叶栅 RANS 预测分析
DOI：
10.1115/1.4035834
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发表时间：
2017
影响因子：
1.7
通讯作者：
Herbst F.
中科院分区：
文献类型：
--
作者：
Müller-Schindewolffs;Herbst F.
涡轮机械部件的最先进设计基于雷诺平均纳维-斯托克斯（RANS）解决方案。RANS求解器模拟了湍流和边界层过渡的影响，因此可以快速预测空气动力学行为。唯一的缺点是将建模错误引入到解决方案中。研究人员和计算流体动力学开发人员正致力于通过改进基于实验数据的模型校准来减少这些误差。然而，这些实验通常不能提供三维流场的详细信息和实际机器中模型量的演变。这可以通过直接逐步比较RANS和直接数值模拟（DNS）之间的模型数量来实现。在本工作中，基于RANS模拟的同一涡轮廓形的DNS，重新计算了实验得到的模型相关性。将实际的局部值与模拟的RANS结果进行比较，从而提供关于模型缺陷来源的信息。重点是在叶片吸力侧（SS）的过渡过程和评估在叶片尾迹湍流结构的发展。研究表明，RANS和DNS之间分歧的根源可以追溯到三个主要缺陷，这些缺陷应该是进一步模型改进的重点。
The state-of-the-art design of turbomachinery components is based on Reynolds-averaged Navier–Stokes (RANS) solutions. RANS solvers model the effects of turbulence and boundary layer transition and therefore allow for a rapid prediction of the aerodynamic behavior. The only drawback is that modeling errors are introduced to the solution. Researchers and computational fluid dynamics developers are working on reducing these errors by improved model calibrations which are based on experimental data. These experiments do not typically, however, offer detailed insight into three-dimensional flow fields and the evolution of model quantities in an actual machine. This can be achieved through a direct step-by-step comparison of model quantities between RANS and direct numerical simulation (DNS). In the present work, the experimentally obtained model correlations are recomputed based on DNS of the same turbine profile simulated by RANS. The actual local values are compared to the modeled RANS results, providing information about the source of model deficits. The focus is on the transition process on the blade suction side (SS) and on evaluating the development of turbulent flow structures in the blade's wake. It is shown that the source of disagreement between RANS and DNS can be traced back to three major deficiencies that should be the focus of further model improvements.
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DOI：
10.1007/s10494-015-9622-4
发表时间：
2015-07
期刊：
Flow, Turbulence and Combustion
影响因子：
--
作者：
F. Menter;P. Smirnov;Tao Liu;R. Avancha
通讯作者：
F. Menter;P. Smirnov;Tao Liu;R. Avancha
湍流特性和相干涡流对环形扩压器压力恢复的影响：B 部分 - 尺度解析模拟
影响因子：
2.8
作者：
Bastian Drechsel;C. Müller;Florian Herbst;J. Seume
通讯作者：
J. Seume
低压涡轮机的可压缩直接数值模拟：第二部分 - 流入扰动的影响
影响因子：
2.8
作者：
V. Michelassi;Liwei Chen;R. Pichler;R. Sandberg
通讯作者：
R. Sandberg
涡轮机械的粗糙度建模
影响因子：
4.1
作者：
A. Fiala;E. Kügeler
通讯作者：
E. Kügeler
低压涡轮机中涡流产生射流诱发转变的建模
影响因子：
1.7
作者：
Florian Herbst;A. Fiala;J. Seume
通讯作者：
J. Seume