This article compares the performance of five different turbulence models in predicting the flow field and heat transfer phenomena created by the jet-crossflow interactions for film cooling applications. The models used to simulate the fine-scale turbulence are low-Reynolds-number versions of the κ-ε and κ-ω models, the algebraic Baldwin-Lomax model, and also a relaxation eddy viscosity model. The time-dependent, density-weighted Navier-Stokes equations coupled with the compressible form of two-equation models are solved based on an explicit finite-volume formulation. The computed flow field and surface temperature distributions along with the turbulence quantities are presented to illustrate the flow physics involved in the present problem. Considering both the predicted surface temperature distribution and the relaxation behavior of the velocity, low-Reynolds-number versions of the κ-ε model seem to perform better compared to others.
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Sarkar et al. (1995) studied this question.
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