Prediction of heat transfer for a single round jet impingement using the GEKO turbulence model

Two-dimensional Reynolds-Averaged Navier-Stokes simulations are performed to study a single, round impinging jet heat transfer problem, utilizing the generalized k-omega (GEKO) turbulence model as a benchmark. The simulations are performed at a jet Reynolds number of 23,300 and a nozzle-to-plate distance of 2.0 where a second peak in surface Nusselt number is observed. The effects of the three primary (C-sep, C-mix and C-nw) and three auxiliary (C-hf,C-l, C-hf,C-t, and C(nw, su)b) GEKO calibration parameters are investigated. The results indicate that C-mix has the most significant impact on the laminar-turbulent transition zone. A deep learning based regression model is developed and trained using the simulation outputs for fast predictions of the heat transfer curve. Using C-sep = 1.1, C-mix = -0.7, C-nw = 2.0, C-nw,C- sub = 2.25 and C-bf,C- t = 3.0 along with laminar-to-turbulent transitional modeling values, provides the best agreement with experimental results from previous studies.