Modeling of Turbulence in Internal Combustion Engines

Morel, Thomas; Mansour, N. N.

doi:10.4271/820040

Cited by 83 publications

(35 citation statements)

References 3 publications

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“…In an attempt to improve the predictive ability of the standard -models, a number of alternatives have been offered [8]. RNG -model, YakhotOrszag models, anisotropic -model of Speziale, Morel and Mansour version of the -model, and the -model of Wilcox [9] are well known among turbulence models [9][10][11][12]. Three-equation turbulence model has also been offered in order to predict the compressed turbulence in IC engines [13].…”

Section: Mathematical Modelingmentioning

confidence: 99%

Compressed Biogas-Diesel Dual-Fuel Engine Optimization Study for Ultralow Emission

Köten

Yılmaz

Gül

2014

Advances in Mechanical Engineering

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The aim of this study is to find out the optimum operating conditions in a diesel engine fueled with compressed biogas (CBG) and pilot diesel dual-fuel. One-dimensional (1D) and three-dimensional (3D) computational fluid dynamics (CFD) code and multiobjective optimization code were employed to investigate the influence of CBG-diesel dual-fuel combustion performance and exhaust emissions on a diesel engine. In this paper, 1D engine code and multiobjective optimization code were coupled and evaluated about 15000 cases to define the proper boundary conditions. In addition, selected single diesel fuel (dodecane) and dualfuel (CBG-diesel) combustion modes were modeled to compare the engine performances and exhaust emission characteristics by using CFD code under various operating conditions. In optimization study, start of pilot diesel fuel injection, CBG-diesel flow rate, and engine speed were optimized and selected cases were compared using CFD code. CBG and diesel fuels were defined as leading reactants using user defined code. The results showed that significantly lower NOx emissions were emitted under dual-fuel operation for all cases compared to single-fuel mode at all engine load conditions.

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Section: Mathematical Modelingmentioning

confidence: 99%

Compressed Biogas-Diesel Dual-Fuel Engine Optimization Study for Ultralow Emission

Köten

Yılmaz

Gül

2014

Advances in Mechanical Engineering

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“…7, No. 4 (2013) 487 Despite over three decades of use, in some cases associated with the prediction of flows with bulk compression, the prediction results are not fully satisfactory (Miles et al, 2007;Miles, 2010;Morel and Mansour, 1982;Tian and Lu, 2013;Wu et al, 1985). Specifically, the modeling of the dissipation rate of turbulent kinetic energy, when the model constants of the transport equation are optimized for the compression process, leads to an unrealistic growth of turbulent time and length scales during the expansion process (Miles et al, 2007;Miles, 2010).…”

Section: Introductionmentioning

confidence: 99%

Application of Generalized RNG Turbulence Model to Flow in Motored Single-Cylinder PFI Engine

Wang

Reitz

Pera

et al. 2013

Engineering Applications of Computational Fluid Mechanics

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This paper describes a generalized renormalization group (RNG) turbulence model applied to simulate non-reacting flows in an optical single-cylinder PFI engine. A structured computational mesh of the combustion system with complex geometry was generated by ICEM-CFD in conjunction with KIVA-3V code. Turbulent flow in the 4-valve engine, including the exhaust, intake, compression and expansion strokes, was simulated with the standard k   and a generalized RNG turbulence model using the KIVA-3V code. Crank angleresolved results from available experimental data were used as the boundary and initial conditions for the calculation setup. Pressure traces of the simulation results were compared to the phase-averaged measured pressure trace. Predicted radial and vertical velocities along a horizontal line at BDC and radial velocities along the cylinder axis at four crank angles were compared with the experimental measurements. In addition, the velocity field calculated by the generalized RNG turbulence model was compared with experimental data from Particle Image Velocimetry (PIV) measurements. Good agreement was found between the experiment results and simulation results with the generalized RNG turbulence model.

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“…The equations solved by the code are the Navier-Stokes equation with a k-e turbulence model with compressibility terms [11]. A standard law of the wall is used for the description the velocity and temperature profiles near walls.…”

Section: The Cfd Codementioning

confidence: 99%

Simulation of the Intake and Compression Strokes of a Motored 4-Valve Si Engine with a Finite Element Code

Bailly

Buchou

Floch

et al. 1999

Oil & Gas Science and Technology - Rev. IFP

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Ñ Simulation of the Intake and Compression Strokes of a Motored 4-Valve SI Engine with a Finite Element Code Ñ A CFD code, using a mixed finite volumes-finite elements method on tetraedrons, is now available for engine simulations. The code takes into account the displacement of moving walls such as piston and valves in a full automatic way: a single mesh is used for a full computation and no intervention of the user is necessary. A fourth order implicit spatial scheme and a first order implicit temporal scheme are used. The work presented in this paper is part of a larger program for the validation of this new numerical

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Modeling of Turbulence in Internal Combustion Engines

Cited by 83 publications

References 3 publications

Compressed Biogas-Diesel Dual-Fuel Engine Optimization Study for Ultralow Emission

Compressed Biogas-Diesel Dual-Fuel Engine Optimization Study for Ultralow Emission

Application of Generalized RNG Turbulence Model to Flow in Motored Single-Cylinder PFI Engine

Simulation of the Intake and Compression Strokes of a Motored 4-Valve Si Engine with a Finite Element Code

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