Applicability of Large Eddy Simulation to the Fluid Mechanics in a Real Engine Configuration by Means of an Industrial Code

Dugue, Vincent; Gauchet, N.; Veynante, Denis

doi:10.4271/2006-01-1194

Cited by 33 publications

(18 citation statements)

References 7 publications

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“…This particular SGS model was used due to not using any additional space filtering or transport equations hence reducing the computational cost and increasing solution instability. The Smagorinsky constant (C s ) was set to 0.02 [12] and the filter width was defined by the cube root of the cell volume.…”

Section: The Les Sgs Turbulence Modelmentioning

confidence: 99%

Numerical Evaluation of Combustion Regimes in a GDI Engine

Beavis

Ibrahim

Malalasekera

2018

Flow Turbulence Combust

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There is significant interest in the gasoline direct-injection engine due to its potential for improvements in fuel consumption but it still remains an area of active research due to a number of challenges including the effect of cycle-by-cycle variations. The current paper presents the use of a 3D-CFD model using both the RANS and LES turbulence modelling approaches, and a Lagrangian DDM to model an early fuel injection event, to evaluate the regimes of combustion in a gasoline direct-injection engine. The velocity fluctuations were investigated as an average value across the cylinder and in the region between the spark plug electrodes. The velocity fluctuations near the spark plug electrodes were seen to be of lower magnitude than the globally averaged fluctuations but exhibited higher levels of cyclic variation due to the influence of the spark plug electrode and the pent-roof geometry on the in-cylinder flow field. Differences in the predicted flame structure due to differences in the predicted velocity fluctuations between RANS and LES modelling approaches were seen as a consequence of the inherently higher dissipation levels present in the RANS methodology. The increased cyclic variation in velocity fluctuations near the spark plug electrodes in the LES predictions suggested significant variation in the relative strength of the incylinder turbulence and that may subsequently result in a thickening of the propagating flame front from cycle-to-cycle in this region. Throughout this paper, the numerical results were validated against published experimental data of the same engine geometry under investigation.

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Section: The Les Sgs Turbulence Modelmentioning

confidence: 99%

Numerical Evaluation of Combustion Regimes in a GDI Engine

Beavis

Ibrahim

Malalasekera

2018

Flow Turbulence Combust

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“…The Smagorinsky constant (C s ) was set to 0.02 [15] and the filter width (Δ) was defined by equation (7), where V is the cell volume. …”

Section: Computational Setupmentioning

confidence: 99%

Numerical Simulations of a GDI Engine Flow Using LES and POD

Beavis

Ibrahim

Malalasekera

2016

SAE Technical Paper Series

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This paper presents the findings from a numerical study of a gasoline direct injection engine flow using the Large Eddy Simulation (LES) modelling technique. The study is carried out over 30 successive engine cycles.The study illustrates how the more simple but robust Smagorinsky LES sub-grid scale turbulence model can be applied to a complex engine geometry with realistic engineering mesh size and computational expense whilst still meeting the filter width requirements to resolve the majority of large scale turbulent structures.Detailed description is provided here for the computational setup, including the initialisation strategy. The mesh is evaluated using a turbulence resolution parameter and shows the solution to generally resolve upwards of 80% of the turbulence kinetic energy. The calculated mean and fluctuating velocity components have been validated across multiple cutting planes at key crank angles within the intake stroke with good agreement obtained against experimental data and compared with RANS model predictions.A Proper Orthogonal Decomposition (POD) technique is then used to evaluate the in-cylinder flow field with the results focusing around the eigenvalue/energy content and time coefficients associated with each mode. The findings have shown how this technique can be used to assess the amount of small scale turbulence generated at the point of spark timing, the level of flow field cyclic variability and the degree of statistical convergence to be expected from an ensemble average result based on the number of cycles and the level of cyclic variability present in the flow field.

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“…Actually, this efficiency function adaptation was performed in a very empirical way in several former computations on different engine configurations, in particular the F7P engine considered in this work and the XU10 engine described in [9,17] where authors found that b ¼ 2 gives very satisfactory results with LW. Indeed, Figure 12 shows that with this value, the expected behavior is retrieved: the resolved part is still lower with LW compared to TTGC or TTG4A but this loss is balanced by an increased contribution of SGS surface.…”

Section: Tfles and Efficiency Functionmentioning

confidence: 99%

“…In particular, ICE simulations usually use low order and/or dissipative numerical schemes as well as simple Sub-Grid-Scale (SGS) turbulence models. Concerning numerical schemes, two classes of convective schemes are generally found in the literature: upwind-biased schemes are used by Jhavar and Rutland [8], Dugue et al [9] or Goryntsev et al [10] for instance while the Lax-Wendroff total discretization approach [11] (second order accurate in space and time) is used by Richard et al [12], Vermorel et al [6] or Granet et al [13]. Both of them are known to be very dissipative and a priori not well suited for LES [10].…”

Section: Introductionmentioning

confidence: 99%

Numerical Methods and Turbulence Modeling for LES of Piston Engines: Impact on Flow Motion and Combustion

Misdariis

Robert

Vermorel

et al. 2013

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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and available online here Cet article fait partie du dossier thématique ci-dessous publié dans la revue OGST, Vol. 69, n°1, et téléchargeable ici D o s s i e rDOSSIER Edited by/Sous la direction de : C. Angelberger IFP Energies nouvelles International Conference / Les Rencontres Scientifiques d'IFP Energies nouvelles LES4ICE 2012 -Large Eddy Simulation for Internal Combustion Engine FlowsLES4ICE 2012 -La simulation aux grandes échelles pour les écoulements dans les moteurs à combustion interne

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Applicability of Large Eddy Simulation to the Fluid Mechanics in a Real Engine Configuration by Means of an Industrial Code

Cited by 33 publications

References 7 publications

Numerical Evaluation of Combustion Regimes in a GDI Engine

Numerical Evaluation of Combustion Regimes in a GDI Engine

Numerical Simulations of a GDI Engine Flow Using LES and POD

Numerical Methods and Turbulence Modeling for LES of Piston Engines: Impact on Flow Motion and Combustion

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