Development of a CFD Approach to Model Fuel-Air Mixing in Gasoline Direct-Injection Engines

Lucchini, Tommaso; D’Errico, Gianluca; Onorati, Angelo; Bonandrini, Giovanni; Venturoli, Luca; Gioia, Rita Di

doi:10.4271/2012-01-0146

Cited by 38 publications

(20 citation statements)

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“…In literature and in RANS type of simulations, it has been shown that modeling STD does not significantly change the results (Lucchini et al, 2012). However, for LES we found that including STD is crucial in order to obtain realistic prediction of spray characteristics.…”

Section: Effects Of Spray-induced Turbulence (Sit) and Stochastic Turmentioning

confidence: 69%

On large eddy simulation of diesel spray for internal combustion engines

Jangi

Solsjö

Johansson

et al. 2015

International Journal of Heat and Fluid Flow

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Section: Effects Of Spray-induced Turbulence (Sit) and Stochastic Turmentioning

confidence: 69%

On large eddy simulation of diesel spray for internal combustion engines

Jangi

Solsjö

Johansson

et al. 2015

International Journal of Heat and Fluid Flow

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“…Lib-ICE is based on the OpenFOAM technology (www.openfoam.org) and includes a set of well validated spray sub-models to properly describe fuel atomization, secondary breakup and evaporation [15,17]. Validation was performed into different steps.…”

Section: Introductionmentioning

confidence: 99%

Computational fluid dynamics modeling of combustion in heavy-duty diesel engines

D’Errico

Onorati

Hardy³

2014

International Journal of Engine Research

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The design and optimization stages of combustion systems for modern Heavy Duty Diesel engines must be supported by reliable CFD tools for the definition of the chamber geometry and injection strategy. To be fully predictive in terms of in-cylinder thermodynamics and flame structure, the employed combustion models must account for complex chemistry and turbulence-kinetics interactions. Within this context, the authors have implemented into an opensource code a model based on the multiple Representative Interactive Flamelets approach (mRIF ) and applied it to Diesel combustion simulations. New numerical techniques were integrated in the proposed mRIF model in order to speed up the CPU time in integrating chemistry and the β-pdf of the chemical species to compute composition in the CFD domain. A parallel validation was performed both with constant-volume and Heavy-Duty Diesel Engine experiments, selecting similar operating conditions. In such way, both flame structure and heat release rate predictions are analyzed and the model capabilities with respect to its set-up and mesh structure are assessed. IntroductionDevelopment of heavy duty Diesel engines is strongly affected by more and more demanding requirements for a contemporary reduction of both fuel consumption and pollutant emissions. To fulfill such objectives, a combination and integration of different technologies is necessary: efficient combustion systems, engine downsizing, new after-treatment devices and heat recovery [7,11,8,19]. In particular, fuel-air mixing and combustion processes must be investigated and optimized in detail since they both affect the quality of exhaust gases and energy conversion efficiency. Within this context, promising solutions appear to be the use of very high injection pressures (up to 3000 bar), further increase of full-load bmep, extension of engine operating range with advanced combustion 1

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“…They influenced the fuel evaporation, mixture distribution and wall wetting. Tommaso et al [28], optimized the air-fuel mixing in a DISI engine using CFD investigations. They simulated four operating conditions with each two engine speeds and fuel injection pressures.…”

Section: Introductionmentioning

confidence: 99%