Modeling of Three-Dimensional Viscous Compressible Turbomachinery Flows Using Unstructured Hybrid Grids
Modeling of Three-Dimensional Viscous Compressible Turbomachinery Flows Using Unstructured Hybrid Grids
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DOI：
10.2514/2.1062
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发表时间：
2000
期刊：
影响因子：
2.5
通讯作者：
A. Sayma;M. Vahdati;L. Sbardella;M. Imregun
中科院分区：
文献类型：
--
作者：
A. Sayma;M. Vahdati;L. Sbardella;M. Imregun
本文介绍了一种先进的数值模型，用于数值模拟定常和非定常粘性可压缩流，以满足工程应用的需要。可压缩Favre平均Navier-Stokes方程与单方程湍流模型一起使用。流域离散使用非结构化的混合网格，可以包含一个混合的六面体，五面体，四面体，和三角形棱柱细胞。使用以节点为中心的有限体积方案来离散流方程，该方案依赖于使用基于边缘的数据结构来表示网格。一个双时间步进技术应用于点隐式公式，使时间精度可以保持与大的柯朗-弗里德里希-路易数。为了防止出射波的任何虚假反射，在出射边界和入射边界处施加了非反射边界条件。两种情况下的测量数据的模型进行了验证。本文通过对一台风机叶片的定常流场分析，确定了叶片的径向压力和温升分布，并与实测值进行了比较，两者符合得很好。接下来研究转子/定子相互作用。对实测的定常和非定常流动数据进行了详细的比较，在所有情况下都取得了良好的一致性。
An advanced numerical model for the simulation of steady and unsteady viscous compressible e ows for turbomachinery applications is described. The compressible Favre-averaged Navier ‐Stokes equations are used together with a one-equation turbulence model. The e ow domain is discretized using unstructured hybrid grids that can contain a mixture of hexahedral, pentahedral, tetrahedral, and triangular prismatic cells. The e ow equations are discretized using a node-centered e nite volume scheme that relies on representing the mesh using an edge-based data structure. A dual time stepping technique is applied to a point implicit formulation so that time accuracy can be maintained with large Courant ‐Friedrichs‐Lewy numbers. Nonree ecting boundary conditions are applied at the ine ow and oute ow boundaries to prevent any spurious ree ections of the outgoing waves. The model was validated against measured data for two cases. Radial proe les of pressure and temperature rise were determined from the steady e ow analysis of a rig fan blade, and these were found to be in very good agreement with the measured quantities. A rotor/stator interaction was studied next. Detailed comparisons were carried out against measured steady and unsteady e ow data and good agreement was obtained in all cases.