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AEROTHERMAL SIMULATIONS COMPARISONS OF A SHAPED-HOLE FILM COOLING FLOW

机译:空气热量模拟成型孔膜冷却流量的比较

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Film Cooling is a crucial technology for engine manufacturer to develop high-efficiency gas turbine engines by raising turbine entry temperature. A lot of cooling holes geometries have been studied in the past few years in tests, as well as numerical simulations. Shaped holes are nowadays a standard geometry for protecting the blades, given the performance improvement compared to cylindrical holes. Numerical correlation with physical tests is challenging due to the high sensitivity to thermal mixing and adequate boundary condition predictions. This paper is devoted to numerical simulation comparisons of the 777 shaped holes configuration of Pennsylvania State University, for an incompressible flow with a density ratio of I. 5, a blowing ratio of 1.5 and a free stream turbulence intensity of 0.5%. Two different simulations have been chosen: a state-of-the-art RANS simulation with k-e Realizable model computed with ANSYS Fluent and a high fidelity solver Lattice-Boltzmann Method computed with Simulia PowerFLOW. In order to improve the accuracy of numerical simulations against test results, this article deals with an aerothermal model of the complete test bench. This additional modeling allows to strongly improve thermal prediction and to understand initial discrepancies related to test bench environment. Results show that k-e Realizable simulation provides a good prediction of average effectiveness, but local differences appear due to inherent RANS modeling limitations. On the other hand, LBM simulation provides excellent results for both aerodynamic and thermal quantities: tests results are very well reproduced.
机译:电影冷却是发动机制造商通过提高涡轮机进入温度开发高效燃气涡轮发动机的重要技术。在过去几年中,在测试中已经研究了许多冷却孔几何形状,以及数值模拟。鉴于与圆柱形孔相比,鉴于性能改善,现在是一种用于保护刀片的标准几何形状。由于对热混合和充分的边界条件预测的高灵敏度,与物理测试的数值相关性具有挑战性。本文致力于宾夕法尼亚州立大学777个形状的孔配置的数值模拟比较,用于密度比例的不可压缩流量,吹入比为1.5,自由流湍流强度为0.5%。选择了两种不同的模拟:使用带有Simulia PowerFlow计算的ANSYS流畅的K-E可实现的型号的最先进的RAN模拟,并使用Simulia Powerflow计算的高保真求解器格子-Boltzmann方法。为了提高数值模拟的准确性反对测试结果,本文涉及完整测试台的空气热量模型。该额外建模允许强烈改善热预测,并理解与测试台环境相关的初始差异。结果表明,K-E可实现的仿真提供了对平均效率的良好预测,但由于固有的RAN建模限制,局部差异出现。另一方面,LBM仿真为空气动力学和热量提供了优异的结果:测试结果非常好。

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