Effect of Mixture Distribution on Combustion and Emission Characteristics in a GDI Engine - A CFD Analysis

Addepalli, Srinivasa Krishna; Saw, Om Prakash; Mallikarjuna, J M

doi:10.4271/2017-24-0036

Cited by 14 publications

(2 citation statements)

References 14 publications

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“…Actually, complete knowledge about the main aspects that influence knock evolution can be of great benefit with respect to the next emission standard, as well as reducing development costs. Predicting knock is very complicated; for these reasons, it is necessary to analyse in detail the processes occurring within the combustion chamber [15], [18], [20], [21].…”

Section: Methodsmentioning

confidence: 99%

Energy Efficiency in Gasoline Direct Injection Engines

Marseglia

Medaglia

2018

WIT Transactions on the Built Environment

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The growing awareness about the environmental impact of human activities and their influence on the increased concentrations of greenhouse gases (GHGs) has recently affected research efforts in the transportation field. Knocking in gasoline direct ignition (GDI) engine, is a kind of abnormal combustion that can restrict engine energy efficiency. It can also lead to permanent engine damage, under specific operating conditions. This paper focuses on the state of the art of engine knock research, considering the causes, influencing aspects, effects and methodology to predict and to reduce the probability of occurrence of this phenomenon. We present some examples of experimental procedures that were followed to analyze this event, through visualization images that can be supported by numerical activity, consisting of fluid dynamic simulation of the combustion process. Different systems to measure engine knock intensity and some mathematical models to predict abnormal combustion, in order to improve engine performance, are analyzed. Finally, in this work we try to give new perspectives for future research, through the use of different techniques to achieve knocking reduction.

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Section: Methodsmentioning

confidence: 99%

Energy Efficiency in Gasoline Direct Injection Engines

Marseglia

Medaglia

2018

WIT Transactions on the Built Environment

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“…Additionally, 3D-CFD simulation can provide insights into the emission formation mechanisms as a function of in-cylinder phenomena such as fuel distribution, residual gas fraction, etc. [3][4][5][6][7][8][9][10][11]. The simulation of gaseous pollutants for spark ignition (SI) direct-injection (DI) engines in 3D-CFD require the correct prediction of many physical and chemical aspects, above all mixture formation, flame propagation, and chemical kinetics.…”

Section: Introductionmentioning

confidence: 99%

Validation of a RANS 3D-CFD Gaseous Emission Model with Space-, Species-, and Cycle-Resolved Measurements from an SI DI Engine

et al. 2020

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Reynolds-averaged Navier–Stokes (RANS) three-dimensional (3D) computational fluid dynamics (CFD) simulations of gaseous emissions from combustion engines are very demanding due to the complex geometry, the emissions formation mechanisms, and the transient processes inside the cylinders. The validation of emission simulation is challenging because of modeling simplifications, fundamental differences from reality (e.g., fuel surrogates), and difficulty in the comparison with measured emission values, which depend on the measuring position. In this study, detailed gaseous emission data were acquired for a spark ignition (SI) direct-injection (DI) single-cylinder engine (SCE) fueled with a toluene reference fuel (TRF) surrogate to allow precise comparison with simulations. Multiple devices in different sampling locations were used for the measurement of average emission concentration, as well as hydrocarbon (HC) cycle- and species-resolved values. A RANS 3D-CFD methodology to predict gaseous pollutants was developed and validated with this experimental database. For precise validation, the emission comparison was performed in the exact same locations as the pollutants were measured. Additionally, the same surrogate fuel used in the measurements was defined in the simulation. To focus on the emission prediction, the pressure and heat release traces were reproduced by calibrating a G-equation flame propagation model. The differences of simulation results with measurements were within 4% for CO2, while for O2 and NO, the deviations were within 26%. CO emissions were generally overestimated probably because of inaccuracies in mixture formation. For HC emissions, deviations up to 50% were observed possibly due to inexact estimation of the influence of the piston-ring crevice geometry. The reasonable prediction accuracy in the RANS context makes the method a useful framework for the analysis of emissions from SI engines, as well as for mechanism validation under engine relevant conditions.

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Modelling Ignition and Combustion in GDI Engines

Addepalli,

Mallikarjuna

2024

Energy, Environment, and Sustainability

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Effect of Mixture Distribution on Combustion and Emission Characteristics in a GDI Engine - A CFD Analysis

Cited by 14 publications

References 14 publications

Energy Efficiency in Gasoline Direct Injection Engines

Energy Efficiency in Gasoline Direct Injection Engines

Validation of a RANS 3D-CFD Gaseous Emission Model with Space-, Species-, and Cycle-Resolved Measurements from an SI DI Engine

Modelling Ignition and Combustion in GDI Engines

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