... in the wake of the T106C LPT cascade with an isentropic Reynolds number of 80,000. We showed that the wake losses predicted by state-of-the-art Reynolds-averaged Navier–Stokes (RANS) turbulence models cannot reproduce the reference (LES) data. In the following, we investigated the influence of each polynomial...

... of related applications such as gas turbine film cooling. 30 08 2022 20 07 2023 20 07 2023 16 08 2023 data assimilation ensemble Kalman filter turbulence modeling jet-in-crossflow National Natural Science Foundation of China 10.13039/501100001809 12227803 52276033...

.... The optimum eddy viscosity μ t opt , a time-invariant field variable, is then used in place of the turbulence and transition models in a new RANS simulation. In previous studies [ 4 , 6 ], μ t opt was compared to the eddy viscosity μ t predicted by conventional turbulence models, both...

...Xiao He; Fanzhou Zhao; Mehdi Vahdati The Spalart–Allmaras (SA) turbulence model is one of the most popular models applied to compressors, but it often over-predicts blockage size and hence under-predicts the stall margin. In this paper, a novel modification to the SA model is proposed to improve...

... turbulence production rates, elucidating the different mechanisms involved and providing a unique database for turbulence modeling. Interaction of the tip flow with the ACGs modifies the highly anisotropic and inhomogeneous passage turbulence. In all cases, the TKE is high in the TLV center and shear layer...

...David Roos Launchbury; Luca Mangani; Ernesto Casartelli; Francesco Del Citto In the industrial simulation of flow phenomena, turbulence modeling is of prime importance. Due to their low computational cost, Reynolds-averaged methods (RANS) are predominantly used for this purpose. However, eddy...

...Xiao He; Fanzhou Zhao; Mehdi Vahdati The turbulence model in Reynolds-averaged Navier–Stokes simulations is crucial in the prediction of the compressor stall margin. In this paper, parametric uncertainty of the Spalart–Allmaras turbulence model in predicting two-dimensional airfoil stall and three...

... 2019 28 10 2019 29 10 2019 05 11 2019 computational fluid dynamics (CFD) fluid dynamics and heat transfer phenomena in compressor and turbine components of gas turbine engines heat transfer and film cooling turbulence modeling machine learning Gas turbine blades...

... is a significant challenge when applying Reynolds averaged Navier–Stokes turbulence modeling techniques. The current study compares the steady-state mixing plane predictions using four turbulence models for a centrifugal compressor stage with a tandem impeller and a “fish-tail” style discrete passage diffuser...