An Improved Empirical Model for Describing Auto-ignition

Yates, Andy; Viljoen, Carl

doi:10.4271/2008-01-1629

Cited by 37 publications

(20 citation statements)

References 21 publications

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“…Yates and Viljoen [12] and Yates et al [13] have developed an empirical ignition delay correlation that characterizes the effects of the cool flame phenomenon by calculating the overall ignition delay in two stages. This improved correlation addresses the fundamental drawback of autoignition models confined to a single global reaction rate.…”

Section: Figure 1 Single and Two-stage Ignition [Reactor: Cvr;mentioning

confidence: 99%

“…The ignition delay correlation proposed here builds upon the model originally developed by Yates and Viljoen [12] and later refined by Yates et al [13] at the Sasol Advanced Fuel Laboratory, or the Sasol model. As indicated in Section 1, the Sasol model captures the cool flame effect by modeling the overall ignition delay in two stages.…”

Section: Modeling Approach Adopted For Developing Improved Ignition Dmentioning

confidence: 99%

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Ignition Delay Correlation for Predicting Autoignition of a Toluene Reference Fuel Blend in Spark Ignition Engines

Iqbal¹,

Selamet²,

Reese³

et al. 2011

SAE Int. J. Engines

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An ignition delay correlation was developed for a toluene reference fuel (TRF) blend that is representative of automotive gasoline fuels exhibiting two-stage ignition. Ignition delay times for the autoignition of a TRF 91 blend with an antiknock index of 91 were predicted through extensive chemical kinetic modeling in CHEMKIN for a constant volume reactor. The development of the correlation involved determining nonlinear least squares curve fits for these ignition delay predictions corresponding to different inlet pressures and temperatures, a number of fuel-air equivalence ratios, and a range of exhaust gas recirculation (EGR) rates. In addition to NO X control, EGR is increasingly being utilized for managing combustion phasing in spark ignition (SI) engines to mitigate knock. Therefore, along with other operating parameters, the effects of EGR on autoignition have been incorporated in the correlation to address the need for predicting ignition delay in SI engines operating with EGR. Unlike the ignition delay expressions available in literature for primary reference fuel blends, the correlation developed in the present study can predict ignition delay for a TRF blend, a more realistic gasoline surrogate.

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Section: Figure 1 Single and Two-stage Ignition [Reactor: Cvr;mentioning

confidence: 99%

Section: Modeling Approach Adopted For Developing Improved Ignition Dmentioning

confidence: 99%

Ignition Delay Correlation for Predicting Autoignition of a Toluene Reference Fuel Blend in Spark Ignition Engines

Iqbal¹,

Selamet²,

Reese³

et al. 2011

SAE Int. J. Engines

View full text Add to dashboard Cite

show abstract

“…Incorrectly matching these aspects to an engine and operating conditions will result in undesirable combustion phenomena or possibly no combustion at all. The auto-ignition characteristics of a fuel are strongly dependent on its response to increases in temperature and pressure [15]. Increasing the temperature of an air-fuel mixture generally shortens the auto-ignition delay of the mixture.…”

Section: Fuelsmentioning

confidence: 99%

Understanding HCCI Characteristics in Mini HCCI Engines

Collair

Floweday

2008

SAE Technical Paper Series

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“…Khaled et al [17], Yates et al [19] and Hu et al [20] successfully used various forms of ignition delay time correlations to predict the onset of ignition in an HCCI engine, a CFR engine and a high-pressure bomb, respectively.…”

Section: Introductionmentioning

confidence: 99%

On the universality of ignition delay times of distillate fuels at high temperatures: A statistical approach

Khaled

Farooq

2019

Combustion and Flame

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Ignition delay times (IDTs) of fuels provide very important macro-information about the fuel reactivity and autoignition behavior. IDTs constitute a key metric for fuel/engine co-optimization studies. Chemical kinetic modelling pursuits rely on experimental IDTs as their primary validation target. There have been extensive works in literature on measuring, calculating, modelling and correlating IDTs of a wide range of hydrocarbons, oxygenates, mixtures of pure * (29.33

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An Improved Empirical Model for Describing Auto-ignition

Cited by 37 publications

References 21 publications

Ignition Delay Correlation for Predicting Autoignition of a Toluene Reference Fuel Blend in Spark Ignition Engines

Ignition Delay Correlation for Predicting Autoignition of a Toluene Reference Fuel Blend in Spark Ignition Engines

Understanding HCCI Characteristics in Mini HCCI Engines

On the universality of ignition delay times of distillate fuels at high temperatures: A statistical approach

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