Modeling of Film Cooling—Part II: Model for Use in Three-Dimensional Computational Fluid Dynamics
Modeling of Film Cooling—Part II: Model for Use in Three-Dimensional Computational Fluid Dynamics
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气膜冷却建模 - 第二部分：三维计算流体动力学中使用的模型
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Martin George Rose
中科院分区：
文献类型：
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作者：
A. Burdet;R. Abhari;Martin George Rose
计算流体动力学（CFD）最近已被用于气膜冷却的气动热力学模拟。单个冷却孔的直接计算需要大量的计算资源。对于真实的发动机冷却系统的优化，由于需要大量的网格节点来覆盖所有的喷射孔和增压室，因此参数研究太耗时。由于这些原因，提出了一种混合方法，基于近膜冷却孔流的建模，使用实验数据进行调整，同时直接计算叶片到叶片通道中的流场。建立了一种新的喷射气膜冷却模型，该模型可以嵌入到CFD程序中，以降低中央处理器（CPU）的成本，减少模拟的周转时间。目标是能够模拟薄膜冷却涡轮机叶片，而不必在孔和增压室内部明确网格划分。在第一部分中给出的ETHZ稳态薄膜冷却平板实验中证明了所提出的CFD嵌入式薄膜冷却模型的稳定性、低CPU开销水平（1%）和准确性（Bernsdorf、Rose和Abhari，2006，ASME J.Turbomach.，128，pp. 141-149）这两部分文件。使用CFD嵌入式模型的气膜冷却效果的预测进行评估。
Computational fluid dynamics (CFD) has recently been used for the simulation of the aerothermodynamics of film cooling. The direct calculation of a single cooling hole requires substantial computational resources. A parametric study, for the optimization of the cooling system in real engines, is much too time consuming due to the large number of grid nodes required to cover all injection holes and plenum chambers. For these reasons, a hybrid approach is proposed, based on the modeling of the near film-cooling hole flow, tuned using experimental data, while computing directly the flow field in the blade-to-blade passage. A new injection film-cooling model is established, which can be embedded in a CFD code, to lower the central processing unit (CPU) cost and to reduce the simulation turnover time. The goal is to be able to simulate film-cooled turbine blades without having to explicitly mesh inside the holes and the plenum chamber. The stability, low CPU overhead level (1%) and accuracy of the proposed CFD-embedded film-cooling model are demonstrated in the ETHZ steady film-cooled flat-plate experiment presented in Part I (Bernsdorf, Rose, and Abhari, 2006, ASME J. Turbomach., 128, pp. 141-149) of this two-part paper. The prediction of film-cooling effectiveness using the CFD-embedded model is evaluated.