This paper presents RANS computation results on the highly-loaded low-pressure turbine blade T106C using the γ-Rθt~ transition model. First, a setup methodology is described, addressing key points such as inlet values for the turbulence variables and stagnation point anomaly. This setup yields good results overall using the transition model in its standard form. The model is then extended to other turbulence model and other correlation functions and results are discussed. It is found that the best overall compromise between precision and trends is obtained through the use of Langtry et al.’s correlation for the transition Reynolds number and Content et al.’s pair of correlations for transition length and critical Reynolds number. However, this paper is more about giving the reader details on the behavior of the γ-Rθt~ model than finding the best combination of parameters.

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