Computation of compressible turbulent jet flows using modified LRR-ω model

In numerical simulations of turbulent flows by Computational Fluid Dynamics (CFD) methods, the traditional focus has been the mean flow. While for aeroacoustics analysis, both the mean flow and turbulence state are important for the assessment of noise emitted by jets. Turbulence modeling remains the pacing item limiting the accuracy of jet turbulence flow predictions. This paper documents a study on the calculation of mean flow and Reynolds stresses in turbulent jet flows. Based on Wilcox’s standard LRR-ω turbulence model, a new set of empirical coefficients are given and a density dependent correlation term is proposed for turbulent jet flow simulation. The simulation results are in very good agreement with published PIV measurements for jet mean flow, over the Mach number range of 0.5-1.485 and the jet exit temperature to ambient temperature ratio of 1.0-2.7. This demonstrates the feasibility and accuracy of the modified LRR-ω stress model.