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The present paper investigates the impact of the velocity and density ratio on the turbulent mixing process in gas turbine blade film cooling. A cooling fluid is injected from an inclined pipe at α=30 • into a turbulent boundary layer profile at a freestream Reynolds number of Re ∞ = 400,000. This jet-in-a-crossflow (JICF) problem is investigated using large-eddy simulations (LES). The governing equations comprise the Navier-Stokes equations plus additional transport equations for several species to simulate a non-reacting gas mixture. A variation of the density ratio is simulated by the heat-mass transfer analogy, i.e., gases of different density are effused into an air crossflow at a constant temperature. An efficient largeeddy simulation method for low subsonic flows based on an implicit dual timestepping scheme combined with low Mach number preconditioning is applied. The numerical results and experimental velocity data measured using two-component particle-image velocimetry (PIV) are in excellent agreement. The results show the dynamics of the flow field in the vicinity of the jet hole, i.e., the recirculation region and the inclination of the shear layers, to be mainly determined by the velocity ratio. However, evaluating the cooling efficiency downstream of the jet hole the mass flux ratio proves to be the dominant similarity parameter, i.e., the density ratio between the fluids and the velocity ratio have to be considered.

A two‐fluid model implemented in OpenFOAM is extended to account for the polydispersity of the disperse phase by coupling CFD with population balance models. The method is applied to predict the fluid dynamics and mass transfer in bubble columns. Here, the conditional quadrature method of moments is implemented in the open‐source code OpenFOAM for describing bubble coalescence, breakage, and mass transfer in two reference cases of rectangular bubble columns. The overall approach is accurate, efficient and robust, and therefore, suitable for the simulation of multiphase flows with industrial relevance.