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Heat Transfer Research
Impact-faktor: 0.404 5-jähriger Impact-Faktor: 0.8 SJR: 0.264 SNIP: 0.504 CiteScore™: 0.88

ISSN Druckformat: 1064-2285
ISSN Online: 2162-6561

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Heat Transfer Research

DOI: 10.1615/HeatTransRes.2015007514
pages 1039-1064


Shaofei Zheng
Institute of Thermal Engineering, TU Bergakademie Freiberg, Gustav-Zeuner-Str. 7, 09599 Freiberg,Germany
Yidan Song
Engineering Simulation and Aerospace Computing (ESAC), Northwestern Polytechnical University, P.O. Box 552, 710072, Xi'an, Shaanxi, China
Gongnan Xie
Department of Mechanical and Power Engineering, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China
Bengt Sunden
Division of Heat Transfer, Department of Energy Sciences, Lund University, P.O. Box 118, SE-22100, Lund, Sweden


In this study, five models, including the standard k−ε (SKE), realizable k−ε (RKE), SST k−ω, transition k−kl−ω, and the v2f model, are considered to simulate air flow and heat transfer of a turbine guide vane. The object in this paper is the well-studied NASA C3X turbine vane, for which experimental data are available. Ten internal cylindrical cooling channels are used to cool the blade. Three-dimensional temperature distributions of the turbine vane were obtained by a fluid−solid conjugated model including the external aerodynamic flow, internal convection and heat conduction region within the metal vane. In order to validate the computational results, the temperature distributions, static pressure distributions, and heat transfer coefficient distributions along the vane external mid-span surface are compared with experimental data. The 4-5-2-1 arrangement of the C3X cascade is selected, and the fluid is assumed to be an ideal gas. The results reveal that the SST k−ω turbulence model performs quite well in predicting the conjugate heat transfer. Detailed heat transfer distributions in the main passage are also shown. The representative transitional behavior of the C3X vane on both pressure and suction surfaces is further analyzed. It suggests that the transition behavior plays a significant role in predictions of the boundary-layer behavior, wall temperature distribution, and heat transfer performance.