Scale-Resolving Simulation Techniques in Industrial CFD

Schütze, Jochen; Kurbatskii, Konstantin A.; Gritskevich, M. S.; Garbaruk, A. V.

doi:10.2514/6.2011-3474

Cited by 34 publications

(15 citation statements)

References 13 publications

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“…The initial calculations employed the URANS equations with the standard SST turbulence model and then switched to the SAS scale resolving simulations ( [20,21]), which are more suitable for predicting small vortical structures. The high-resolution scheme of the second order has been used for the momentum equations, and the first-order scheme has been used for the turbulence modeling.…”

Section: Numerical Simulationsmentioning

confidence: 99%

Experimental and Numerical Study on Vortical Structures and Their Dynamics in a Pump Sump

Uruba

Procházka

Sedlář³

et al. 2022

Water

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Research on water flow in a pump inlet sump is presented. The main effort has been devoted to the study of the vortical structures’ appearance and their behavior. The study was conducted in a dedicated model of the pump sump consisting of a rectangular tank 1272 × 542 × 550 mm3 with a vertical bellmouth inlet 240 mm in diameter and a close-circuit water loop. Both Computational Fluid Dynamics (CFD) and experimental research methods have been applied. The advanced unsteady approach has been used for mathematical modeling to capture the flow-field dynamics. For experiments, the time-resolved Particle Image Velocimetry (PIV) method has been utilized. The mathematical modeling has been validated against the obtained experimental data; the main vortex core circulation is captured within 3%, while the overall flow topology is validated qualitatively. Three types of vortical structures have been detected: surface vortices, wall-attached vortices and bottom vortex. The most intense and stable is the bottom vortex; the surface and wall-attached vortices are found to be of random nature, both in their appearance and topology; they appear intermittently in time with various topologies. The dominant bottom vortex is relatively steady with weak, low-frequency dynamics; typical frequencies are up to 1 Hz. The origin of the vorticity of all large vortical structures is identified in the pump propeller rotation.

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Section: Numerical Simulationsmentioning

confidence: 99%

Experimental and Numerical Study on Vortical Structures and Their Dynamics in a Pump Sump

Uruba

Procházka

Sedlář³

et al. 2022

Water

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“…The numerical simulation model of the sedan refers to the literature [17]. The meshing scheme is adopted from the best practices of Scale Resolved Simulation (SRS) [25]. The numerical simulation model of the sedan is appropriately simplified for reducing the calculation, and the external flow field of the screen wiper, door handles, and other accessories are ignored.…”

Section: Effects Of the Rain Visor On The Reduction Of The Window Buf...mentioning

confidence: 99%

Numerical Analysis and Optimization of the Front Window Visor for Vehicle Wind Buffeting Noise Reduction Based on Zonal SAS k-ε Method

Yang

Liu

2022

Applied Sciences

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Numerical investigations were conducted to determine the effectiveness of the front window visor for wind buffeting noise reduction. An unsteady flow simulation was carried out using a zonal Scale Adaptive Simulation (SAS) k-ε turbulence model. Firstly, the accuracy of the simulation method was validated based on a benchmark problem. The benchmark results, frequency, and sound pressure levels of feedback and resonance modes all matched well with the experimental data. The effect of the front window on the buffeting noise reduction was numerically investigated based on three different front side window openings. The analysis focused on the suppression effect of the front window visor. The results show that the front window visor changed the A-pillar vortex shedding trajectory and thus reduced the driver’s ear pressure fluctuation. On this basis, an optimization algorithm was employed to optimize the shape of the front window visor. The main design goal was to decrease the sound pressure level (SPL) values of the driver’s left ear. Simulation results showed that the monitoring point’s SPL of buffeting noise after the visor optimization was reduced by 12.6%, compared with that of the original visor.

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“…Direct numerical simulation (DNS) and high-resolution large-eddy simulation (LES) [29][30][31] are the optimal techniques to predict transitional flows since these methods resolve all (DNS) or most (LES) flow scales. Yet, the caveat of such scale-resolving simulation (SRS) strategies is the inherent computational cost [32][33][34] and the difficulty of selecting proper initial and boundary flow conditions. The Reynolds-averaged Navier-Stokes (RANS) equations, on the other hand, reduce the cost burden of simulating transitional flows through its fully statistical description of turbulence, in which a closure models the entire spectrum of turbulence scales [35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Transitional Taylor-Green Vortex Flow with PANS

Pereira,

Grinstein,

Israel

et al. 2020

Preprint

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A new PANS model is used to predict the transitional Taylor-Green vortex flow at initial Reynolds number 3000. This problem is a benchmark case for transitional flows in which the onset of turbulence is driven by vortex-stretching and reconnection mechanisms. Since these physical phenomena are observed in numerous flows of variable-density (e.g., oceanography and material mixing), this study constitutes the first step toward extending the PANS method to such a class of problems. We start by deriving the governing equations of the model and analyze the selection of the parameters controlling its physical resolution, fε and f k , through a-priori testing. Afterward, we conduct PANS computations at different constant physical resolutions to evaluate the model's accuracy and cost predicting the TGV flow. This is performed through simple verification and validation exercises, and the physical and modeling interpretation of the numerical predictions. The results confirm that PANS can efficiently (accuracy vs. cost) predict the present flow problem. Yet, this is closely dependent on the physical resolution of the model. Whereas high-physical resolution (f k < 0.50) computations are in good agreement with the reference DNS studies, low-physical resolution (f k ≥ 0.50) simulations lead to large discrepancies with the reference data. The physical and modeling interpretation of the results demonstrates that the origin of these distinct behaviors lies in the model's ability to capture the instabilities and coherent structures driving the onset of turbulence. The comparison of the computations' cost indicates that high-physical resolution PANS achieves the accuracy of DNS (f k = 0.00) at a fraction of the cost. We observe a cost reduction of one order of magnitude at the current Re, which is expected to grow with Re. These results clearly indicate the potential of PANS to predict transitional flows efficiently.

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Scale-Resolving Simulation Techniques in Industrial CFD

Cited by 34 publications

References 13 publications

Experimental and Numerical Study on Vortical Structures and Their Dynamics in a Pump Sump

Experimental and Numerical Study on Vortical Structures and Their Dynamics in a Pump Sump

Numerical Analysis and Optimization of the Front Window Visor for Vehicle Wind Buffeting Noise Reduction Based on Zonal SAS k-ε Method

Modeling and Simulation of Transitional Taylor-Green Vortex Flow with PANS

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