Turbulence modelling analysis in a corner separation flow

Monier, Jean-François; Gao, Feng; Boudet, Jérôme; Shao, Lei

doi:10.1016/j.compfluid.2020.104745

Cited by 3 publications

References 38 publications

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Application of data-driven models to predict the dimensions of flow separation zone

Gharehbaghi

Ghasemlounia

Latif

et al. 2023

Environ Sci Pollut Res

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In this research, the effect of a submerged multiple-vane system on the dimensions of flow separation zone (DFSZ) is assessed via 192 measured datasets. The vanes’ shape comprised two segments, curved and flat plates which are located in the connection of main channel to the lateral intake channel with an angle of 55°. In this direction, a butterfly’s array for the vanes’ arrangement along with different main controlling factors such as distances of vanes along the flow ( δ l ), degree of curvature ( β ), and angles of attack to the local primary flow direction ( θ ) is utilized. Through capturing photos and utilizing AutoCAD and SURFER software, maximum relative length and width are calculated. Based on the experimental measurements, maximum percentage reduction of DFSZ, in comparison with the controlled test (without submerged vanes), is obtained with θ = 30°, β = 34°, and δ l = 10 cm with value of 78 and 76%, respectively. Moreover, several data-driven models, namely, gene expression programming (GEP), support vector regression (SVR), and a robust hybrid SVR with an ant colony optimization algorithm (ACO) (i.e., hybrid SVR-ACO model), are developed in order to predict DFSZ via the operative dimensionless variables realized by Spearman’s rho and Pearson’s coefficient processes. In accordance with the statistical metrics, model grading process, scatter plot, and the hybrid SVR(RBF)-ACO model are preferred as the best and most precise model to predict maximum relative length and width with a total grade ( TG ) of 6.75 and 5.8, respectively. The generated algebraic formula for DFSZ under the optimal scenario of GEP is equated with the corresponding measured ones and the results are within 0–10%.

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Application of data-driven models to predict the dimensions of flow separation zone

Gharehbaghi

Ghasemlounia

Latif

et al. 2023

Environ Sci Pollut Res

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Unsteady Flow Structure of Corner Separation in a Highly Loaded Compressor Cascade

Zhong,

Liu,

Tang

2023

Journal of Turbomachinery

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Corner separation is an inherently unsteady flow feature in an axial compressor cascade, it significantly affects the aerodynamic performance of compressors. The flow field of a highly-loaded compressor cascade at the Mach number of 0.59 under the moderate separation condition is simulated based on delayed detached eddy simulation. Comparisons of averaged flow field and transient flow field show that the three-dimensional corner separation flow is highly unsteady and composed of fine-scale vortex structures. The classical recognition of corner separation structures is a consequence of time-averaging. To better understand the contribution of unsteady structures to the averaged flow structures, the evolutions of flow fields in time series and the power spectrums are analyzed. A dominant periodic flow fluctuation is caused by the development of separating vortices with a characteristic frequency around 3500Hz, or at a Strouhal number of 0.75. Further, energy scales and spatiotemporal features of these dominant unsteady behaviors are analyzed using proper orthogonal decomposition and dynamic mode decomposition methods. Results show that the low-frequency behaviors mainly caused by the passage vortex at lower-span regions govern large-scale changes of separation flow in size and intensity and act with a certain intermittency. The vortex developing mode around 3500Hz prevails at higher regions affected by the concentrated shedding vortex. As the separating vortices dissipate approaching the midspan, the effect of the vortex developing mode on axial velocity fluctuation is reduced, although it dominates the pressure fluctuation with good stability in the whole passage.

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Direct Investigation of Nonlinear and Nonlocal Turbulent Constitutive Relations in a Three-Dimensional, Non-Equilibrium Boundary Layer

Gargiulo

Duetsch-Patel

Roy

et al. 2023

AIAA SCITECH 2023 Forum

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Turbulence modelling analysis in a corner separation flow

Cited by 3 publications

References 38 publications

Application of data-driven models to predict the dimensions of flow separation zone

Application of data-driven models to predict the dimensions of flow separation zone

Unsteady Flow Structure of Corner Separation in a Highly Loaded Compressor Cascade

Direct Investigation of Nonlinear and Nonlocal Turbulent Constitutive Relations in a Three-Dimensional, Non-Equilibrium Boundary Layer

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