Scalar Diffusion Equation Based Model to Predict 2-D Film Cooling Effectiveness of Shaped Hole
Abstract One-dimensional laterally averaged adiabatic film cooling effectiveness η¯lat based correlations have been widely employed in the cooling design of the modern gas turbine and aero-engine; however, the flow field of the discrete film cooling is fully three-dimensional and thus the cooling effectiveness distribution on the solid surface is two-dimensional. Accurate prediction of the cooling effectiveness distribution in the lateral direction would help to optimize the film cooling design but few paid attention to this issue in the literature. In this work, a simple yet accurate scalar diffusion equation based model is proposed to extend the one-dimensional correlation into two-dimensional. The effective diffusion coefficient is modeled to represent the balance between the diffusion and the passive transportation by the main flow. Analyses conducted within typical experimental range show that the effective diffusion coefficient is only dependent on the velocity ratio and the main-flow turbulence. The current model can be efficiently solved within one second and the results have been validated against a series of experimental data. According to the accuracy analysis, the R2 value larger than 0.9 is obtained for all cases and the source of the prediction error is also analyzed. The proposed model is proved to be accurate and efficient, and results show that the 2-D distribution of coolant can be reasonably predicted with this simple model.