Quasi-Dimensional Modeling of Spark Ignition Engine Combustion with Variable Valve Train

Grill, Michael; Billinger, Tobias; Bargende, Michael

doi:10.4271/2006-01-1107

Cited by 67 publications

(10 citation statements)

References 14 publications

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“…The quasi-dimensional combustion model used in this study is presented in Grill et al 16 The laminar flame speed correlation proposed in this article affects various equations regarding the combustion model. To clarify the influence, the principle idea of the combustion model will be outlined in the following.…”

Section: Burn Rate Modelingmentioning

confidence: 99%

“…18 u turb influences—besides the Taylor length l T —also the entrainment velocity u E which in turn defines the entrainment mass flow d m E into the flame front (equation (2)). The density in the unburnt zone ρ ub depends on the corresponding mass and volume, while the flame surface A fl is calculated according to Grill et al 16…”

Section: Burn Rate Modelingmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of burn rate, knocking and cycle-to-cycle variations of binary compressed natural gas substitutes in consideration of reaction kinetics influences

Hann

Urban

Grill

et al. 2017

International Journal of Engine Research

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Since zero-dimensional/one-dimensional simulations of natural gas spark-ignition engines use model theories similar to gasoline engines, the impact of changing fuel characteristics needs to be taken into consideration in order to obtain results of higher quality. For this goal, this article proposes some approaches that consider the influence of binary fuel mixtures such as methane with up to 40 mol% of ethane, propane, n-butane or hydrogen on laminar flame speed and knock behavior. To quantify these influences, reaction kinetics calculations are carried out in a wide range of the engine operation conditions. Obtained results are used to update and extend existing sub-models. The model quality is validated by comparing simulation results with measured heat release rates and knock limit. The benefit of the new submodels is demonstrated by predicting the influence the fuel takes on engine operating limits in terms of knocking and lean misfire limits, the latter being determined using a cycle-to-cycle variation model.

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Section: Burn Rate Modelingmentioning

confidence: 99%

Section: Burn Rate Modelingmentioning

confidence: 99%

Prediction of burn rate, knocking and cycle-to-cycle variations of binary compressed natural gas substitutes in consideration of reaction kinetics influences

Hann

Urban

Grill

et al. 2017

International Journal of Engine Research

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show abstract

“…It was based on a priori simulation of 1D premixed flame to generate the chemical data base of composition, laminar flame speed and thickness, which can directly be plugged in the combustion model (Tinaut et al, 1999). Proposed a model based on chemical kinetics to determine CO and NOx and the HC model based on retention in crevices, wall quenching and post-flame combustion processes in the cylinder and exhaust pipe (Grill et al, 2006). Developed a quasi-dimensional model for SI combustion with variable valve timing.…”

Section: Introductionmentioning

confidence: 99%

Quasi-dimensional analysis of combustion, emissions and knocking in a homogeneous GDI engine

Lee

Huh

et al. 2015

Int.J Automot. Technol.

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A quasi-dimensional model is developed with the surrogate mechanism of isooctane and n-heptane to predict knock and emissions of a homogeneous GDI engine. It is composed of unburned and burned zone with the latter divided into multiple zones of equal mass to resolve temperature stratification. Combustion is based on turbulent entrainment and burning in a spherically propagating flame with the entrainment rate interpolated between laminar and turbulent flame speed. Validation is performed against measured pressure traces, NOx and CO emissions at different load and rpm conditions. Comparison is made between predictions by the empirical knock model and the chemistry model in this work. There is good agreement for pressure, NOx, CO and knock for the test engine. Promising results are obtained through parametric study with respect to octane number and engine load by the chemistry knock model.

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“…x e being the entrained mass fraction (Brown et al, 1996;Grill et al, 2006;Hattrel et al, 2006;Poulos & Heywood, 1983;Wahiduzzaman et al, 1993). The rate of laminar burnout in eq.…”

Section: Introduction and Overviewmentioning

confidence: 99%

Computational Simulations and Applications

Zhu¹

2011

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conference and colloquium presentations in 21 countries. He also served on the editorial boards of six international journals and numerous conference organizing committees. Over the last two decades, his research and education projects have been funded by over $6 million in grants from the USA federal agencies and industrial partners. ContentsPreface XIII Part Research and Numerical Algorithms in Computational Fluid Dynamics Simulations 1 Chapter Reynolds Stress Transport Modelling 3 Sharaf F. Al-Sharif Chapter Study of Some Key Issues for Applying LES to Real Engineering Problems 27 XIV Preface 9 -12), fluid heat exchange (chapter 13 -14), airborne contaminant dispersion over buildings and atmospheric flow around a re-entry capsule (chapter 15 -16), gas-solid two phase flow in long pipes (chapter 17), free surface flow around a ship hull (chapter 18), and hydrodynamic analysis of electrochemical cells (chapter 19).  Part III covers applications of non-CFD based computational simulations, including atmospheric optical communications (chapter 20), environmental studies involving climate system simulations, porous media flow, and combustion (chapter 21 -23), solidification (chapter 24), and sound field simulations for optimal acoustic effects (chapter 25). I am grateful to InTech for the opportunity to serve as the editor for this book, and I wish to sincerely thank all contributing authors around the world for their diligence in following editorial guidelines, their willingness to support open access publications, and their valuable technical contributions that made this book possible. Special thanks are due to Ms. Ana Nikolic, Mr. Zeljko Spalj, and the technical staff at InTech for their editorial efforts, detailed reviews, and professional assistance. I also would like to thank the University of Texas at Arlington for supporting my participation in this book project. Without the support from the authors, InTech staff, and the University, this book could not have become a reality.

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Quasi-Dimensional Modeling of Spark Ignition Engine Combustion with Variable Valve Train

Cited by 67 publications

References 14 publications

Prediction of burn rate, knocking and cycle-to-cycle variations of binary compressed natural gas substitutes in consideration of reaction kinetics influences

Prediction of burn rate, knocking and cycle-to-cycle variations of binary compressed natural gas substitutes in consideration of reaction kinetics influences

Quasi-dimensional analysis of combustion, emissions and knocking in a homogeneous GDI engine

Computational Simulations and Applications

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