Cycle-by-Cycle Analysis, Knock Modeling and Spark-Advance Setting of a “Downsized” Spark-Ignition Turbocharged Engine

Bozza, Fabio; Siano, Daniela; Torella, E.

doi:10.4271/2009-24-0020

Cited by 34 publications

(19 citation statements)

References 18 publications

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“…In previous papers, [9][10][11][12] examples have been reported of 1D methods applied to estimate both the acoustic and the performance issues of ICEs.…”

Section: Introductionmentioning

confidence: 99%

Acoustic and fluid-dynamic optimization of an automotive muffler

Siano

Bozza

Auriemma

2012

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this work, the acoustic and fluid-dynamic performances of a commercial three-chamber perforated muffler were simulated with a three-dimensional boundary element method and also a one-dimensional approach. The inner insulating material (wool) was taken into account in the performed analyses, together with the presence of a mean flow across the muffler in order to predict both the transmission loss and the pressure drop Delta p. Three-dimensional analyses were experimentally validated in a wide frequency range and in the absence of mean flow and were utilized to build a more precise one-dimensional representation of the device. In this way, better agreement between the one-dimensional results and the experimental data was realized, at least in the frequency range characterized by planar wave propagation (below 800 Hz). Once validated, the one-dimensional model was coupled to an external optimizer to perform acoustic and fluid-dynamic optimizations of the considered muffler. Initially, a genetic algorithm was employed to modify the internal muffler geometry and to improve the transmission loss, in the absence of mean flow, in the 100-800 Hz frequency range. A second optimization was also performed to identify the trade-off between the acoustic performance and the fluid-dynamic performance, in terms of the transmission loss and Delta p, in the 100-400 Hz frequency range

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“…In previous papers, [9][10][11][12] examples have been reported of 1D methods applied to estimate both the acoustic and the performance issues of ICEs.…”

Section: Introductionmentioning

confidence: 99%

Acoustic and fluid-dynamic optimization of an automotive muffler

Siano

Bozza

Auriemma

2012

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…r BMF being the BMF standard deviation and BMF av the related average level [32]. The engine operating conditions were the same for each fuel; moreover, the values of the imposed ECU engine …”

Section: Resultsmentioning

confidence: 99%

“…These models typically contain a quasiD phenomenological approach to predict the flame front propagation into the SI engine combustion chamber and the resulting heat release rate [22][23][24][25][26]. Within this context, a few quasiD thermodynamic SI combustion models have been recently enhanced to incorporate a simplified approach and predict the effects of cyclic combustion variability [27][28][29][30][31][32]. They can be used to describe cyclic variations of heat release rate or pollutant emissions related to stochastic fluctuations of the main engine parameters, whereas cannot capture the cyclic variability due to turbulent structures or mixture stratification inside the combustion chamber.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigations on high octane number gasoline formulations for internal combustion engines

Cerri

D’Errico

Onorati

2013

Fuel

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“…For autoignition modelling, cycles with similar pressure traces were chosen for the different fuels to allow a comparison of the knocking tendencies of different fuels at similar conditions, Figure 3. The subject of autoignition modelling with predictive combustion for the full range of slow and fast burning cycles has been covered in [1][2][3]. For this study, because fuel composition has only a small effect on the heat loss during compression phase, matching the cycle pressure effectively means very similar end-gas temperatures will result.…”

Section: Supporting Experimentsmentioning

confidence: 99%

“…Therefore, numerical modelling of autoignition may be used to predict knock onset. This has been demonstrated in various studies by modelling the autoignition chemistry of a simpler gasoline surrogate such as primary reference fuels (PRFs), i.e., a mixture of iso-octane and n-heptane [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Modelling of Self-Ignition in Spark-Ignition Engine Using Reduced Chemical Kinetics for Gasoline Surrogates

Khan

Roberts

Burluka

2019

Fluids

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A numerical and experimental investigation in to the role of gasoline surrogates and their reduced chemical kinetic mechanisms in spark ignition (SI) engine knocking has been carried out. In order to predict autoignition of gasoline in a spark ignition engine three reduced chemical kinetic mechanisms have been coupled with quasi-dimensional thermodynamic modelling approach. The modelling was supported by measurements of the knocking tendencies of three fuels of very different compositions yet an equivalent Research Octane Number (RON) of 90 (ULG90, PRF90 and 71.5% by volume toluene blended with n-heptane) as well as iso-octane. The experimental knock onsets provided a benchmark for the chemical kinetic predictions of autoignition and also highlighted the limitations of characterisation of the knock resistance of a gasoline in terms of the Research and Motoring octane numbers and the role of these parameters in surrogate formulation. Two approaches used to optimise the surrogate composition have been discussed and possible surrogates for ULG90 have been formulated and numerically studied. A discussion has also been made on the various surrogates from the literature which have been tested in shock tube and rapid compression machines for their autoignition times and are a source of chemical kinetic mechanism validation. The differences in the knock onsets of the tested fuels have been explained by modelling their reactivity using semi-detailed chemical kinetics. Through this work, the weaknesses and challenges of autoignition modelling in SI engines through gasoline surrogate chemical kinetics have been highlighted. Adequacy of a surrogate in simulating the autoignition behaviour of gasoline has also been investigated as it is more important for the surrogate to have the same reactivity as the gasoline at all engine relevant p − T conditions than having the same RON and Motored Octane Number (MON).

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Cycle-by-Cycle Analysis, Knock Modeling and Spark-Advance Setting of a “Downsized” Spark-Ignition Turbocharged Engine

Cited by 34 publications

References 18 publications

Acoustic and fluid-dynamic optimization of an automotive muffler

Acoustic and fluid-dynamic optimization of an automotive muffler

Experimental investigations on high octane number gasoline formulations for internal combustion engines

Modelling of Self-Ignition in Spark-Ignition Engine Using Reduced Chemical Kinetics for Gasoline Surrogates

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