Towards the understanding of cyclic variability in a spark ignited engine using multi-cycle LES

Vermorel, Olivier; Richard, Stéphane; Colin, Olivier; Angelberger, Christian; Benkenida, A.; Veynante, Denis

doi:10.1016/j.combustflame.2009.04.007

Cited by 222 publications

(167 citation statements)

References 27 publications

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“…Nevertheless, one should notice that the higher order feature F7P engine: x-velocity profiles along the cylinder axis for the LW, TTGC and TTG4A schemes at a) À280 CAD, b) À240 CAD, c) À180 CAD and d) À100 CAD. The experimental envelope is extracted from [6]. The abscissa z = 0 corresponds to the bottom of the cylinder head.…”

Section: Intake and Compression Aerodynamicsmentioning

confidence: 99%

“…Thicken and Flame for LES (TFLES) models [6] are respectively used to simulate spark ignition and flame propagation, as in [13]. Simulation grids are made of tetrahedra, allowing to refine the mesh in specific areas such as the valve seats or the spark plug, while using coarsened meshes in the intake and exhaust pipes or plenum ( Fig.…”

Section: Numerical Set-upmentioning

confidence: 99%

“…Concerning turbulence modeling, the most popular closure is the constant coefficient Smagorinsky model [14]. In spite of its well-known drawbacks [15], this model is used in many ICE LES, such as Goryntsev et al [10], Celik et al [16], Vermorel et al [6] or Granet et al [13]. The combined use of a low order numerical scheme and a simple turbulence model does not mean that the results of these computations are systematically wrong or dubious.…”

Section: Introductionmentioning

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%

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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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Section: Intake and Compression Aerodynamicsmentioning

confidence: 99%

Section: Numerical Set-upmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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“…However, the computational cost of LES studies is significantly larger than RANS studies. Only very recently have LES studies been conducted to investigate cyclic variations in engines [2][3][4][5]. A fundamental requirement for an accurate LES simulation is a stable numerical scheme with minimal dissipation.…”

Section: Introductionmentioning

confidence: 99%

LES of Gas Exchange in IC Engines

Mittal

Kang

Doran

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 Oil & Gas Science and Technology -Rev. IFP Energies nouvelles, Vol. 69 (2014) Abstract -LES of Gas Exchange in IC Engines -As engine technologies become increasingly complex and engines are driven to new operating points, understanding transient phenomena is important to ensure reliable engine operation. Unlike Reynolds Averaged Navier-Stokes (RANS) studies that only provide cycle-averaged information, Large Eddy Simulation (LES) studies are capable of simulating cycle-to-cycle dynamics. In this work, a finite difference based structured methodology for LES of IC engines is presented. This structured approach allows for an efficient mesh generation process and provides potential for higher order numerical accuracy. An efficient parallel scalable block decomposition is done to overcome the challenges associated with the low ratio of fluid elements to overall mesh elements. The motion of the valves and piston is handled using a dynamic cell blanking approach and the Arbitrary Lagrangian Eulerian (ALE) method, respectively. Modified three-dimensional Navier-Stokes Characteristic Boundary Conditions (NSCBC) Oil & Gas Science and Technology -Rev. IFP Energies nouvelles, Vol. 69 (2014), No. 1, pp. 29-40 Copyright Ó 2013, IFP Energies nouvelles DOI: 10.2516 are used in the simulation to prescribe conditions in the manifolds. The accuracy of the simulation framework is validated using various canonical configurations. Flow bench simulations of an axisymmetric configuration and an actual engine geometry are done with the LES methodology. Simulations of the gas exchange in an engine under motored conditions are also performed. Overall, good agreement is obtained with experiments for all the cases. Therefore, this framework can be used for LES of engine simulations. In the future, reactive LES simulations will be performed using this framework.

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In‐Cylinder Flow

Borée

Miles

2014

Encyclopedia of Automotive Engineering

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The general properties and evolution of in‐cylinder flows are reviewed, from the initial generation of turbulence and large‐scale bulk structures during the induction process until the early expansion stroke period, when flow processes continue to aid with the completion of combustion. Flows typical of both spark ignition and compression ignition engine technologies are described. Our primary emphasis is on providing the practicing engineer and engine designer with a physical understanding of the storage of flow energy in large‐scale rotating structures; the mechanisms by which this energy can be extracted to enhance turbulent mixing processes; the interaction of these flow structures with the compression, fuel injection, and combustion processes; and the fluid‐dynamical origin of cycle‐to‐cycle fluctuations in the combustion process. We further examine characteristics of the turbulence, with the objective of providing engineers with a natural understanding of how turbulence scales relate to engine parameters (bore, stroke, speed, etc.) and of how turbulence is generated and dissipated throughout the engine cycle. Various methods used to characterize and separate the turbulence from large‐scale, coherent cycle‐to‐cycle fluctuations in the flow, and tools to characterize the topology of the flow, are also briefly reviewed. Lastly, we identify several areas, principally related to turbulence generation and dissipation in engines, to the elucidation of flow structures and their cycle‐to‐cycle variation, and to near‐wall flows, that are still poorly understood and that would benefit from additional investigations by the research community.

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Towards the understanding of cyclic variability in a spark ignited engine using multi-cycle LES

Cited by 222 publications

References 27 publications

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

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

LES of Gas Exchange in IC Engines

In‐Cylinder Flow

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