Development of an autoignition submodel for natural gas engines⋆

Soylu, Seref

doi:10.1016/s0016-2361(03)00147-9

Cited by 25 publications

(5 citation statements)

References 12 publications

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“…To estimate the parameters in equation (9), an optimization problem has been solved; this approach has already been proposed in literature, see [4], [26]. The values of C 1 , C 2 and C 3 are found by minimizing the following cost function:…”

Section: A Physical Approachmentioning

confidence: 99%

Engine Knock Margin Estimation Using In-Cylinder Pressure Measurements

Panzani

Östman

Onder

2017

IEEE/ASME Trans. Mechatron.

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Abstract-Engine knock is among the most relevant limiting factors in the improvement of the operation of spark ignited engines. Due to an abnormal combustion inside the cylinder chamber, it can cause performance worsening or even serious mechanical damage. Being the result of complex local chemical phenomena, knock turns out to have a significant random behaviour but the increasing availability of new on-board sensors permits a deeper understanding of its mechanism. The aim of this paper is to exploit in-cylinder pressure sensors to derive a knock estimator, based on the logistic regression technique. Thanks to the proposed approach it is possible to explicitly deal with knock random variability and to define the so-called margin (or distance) from the knocking condition, which has been recently proven to be an effective concept for innovative knock control strategies. In a model-based estimation fashion, two modelling approaches are compared: one relies on well-known physical mechanisms while the second exploits a principal component analysis to extract relevant pressure information, thus reducing the identification effort and improving the estimation performance.

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Section: A Physical Approachmentioning

confidence: 99%

Engine Knock Margin Estimation Using In-Cylinder Pressure Measurements

Panzani

Östman

Onder

2017

IEEE/ASME Trans. Mechatron.

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“…This model was developed based on the auto-ignition model developed by Soylu [11] for natural gas engines. He modeled the ignition delay time by using an equation, which was in the form of Arrhenius equation:…”

Section: Knocking Modelmentioning

confidence: 99%

Knock Occurrence Prediction and Performance Optimization of a Natural Gas S.I. Engine

Khosravi¹

2018

MJMIE

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Natural gas is used as alternative fuel in speak ignition engines in many countries to satisfy air quality standards. Gas engines can be operated in stoichiometric and lean burn condition with different combustion and emission details. In this study a natural gas spark-ignition engine at stoichiometric condition was optimized to avoid knock occurrence. Compression ratio and engine speed were optimized to obtain the lowest fuel consumption accompanied with high power and low emission. A quasi-dimensional two-zone combustion model was developed to simulate combustion and a knocking model was incorporated with main model to predict any auto-ignition that might occur. The model was validated by comparing with available experimental results. Performance parameters and exhaust emissions were also computed by using this model. It was found that using cooled EGR especially at high compression ratios has a key role in reducing NO emission.

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“…In literature of knock models, the heat transfer coefficient correlations have been used without justification regarding its effect in the knock prediction accuracy. For instance Ghanbari et al [28], Essen et al [29] and Gersen et al [30] used the Woschni correlation, Michos [31] and Soylu [32] used the correlation from Annand and Saikaly et al [18] used the one from Hohenberg without specifying the reason of their choice. This is why in the cur-rent study a similar methodology to the one from Lounici is used, but instead of the in-cylinder pressure, K c is evaluated to determine which one of the correlations predicts better knock occurrence.…”

Section: Introductionmentioning

confidence: 99%

Improvement of a knock model for natural gas SI engines through heat transfer evaluation

Parra

Torres

2017

Int J Interact Des Manuf

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Knock is an abnormal combustion phenomena capable of causing serious damage to spark ignition engines, and is a constraint to reach the maximum potential of the engine, since strategies to increase power output and improve efficiency such as turbocharging, increased compression ratio and the advancement of spark timing, also increase the possibility of knock occurrence. Therefore, it is crucial to take into account the limits imposed by knock in the design and operating conditions of the engine when using an engine computational model. In this article a zero-dimensional two-zone engine model, coupled with a chemical kinetic model for knock detection through end-gas auto-ignition is developed and validated, for a natural gas engine. Given the importance of an accurate knock prediction, five heat transfer coefficient correlations are compared to find the most suitable to predict the knock occurrence, through calculation of a knock criterion. Correlations from Sitkei and Annand were the most suitable to predict this knock criterion for the experimental data used, and the Sitkei correlation was later tested in a parametric study to predict the effect of spark timing, compression ratio, equivalence ratio and inlet temperature in knock occurrence and intensity. Results were in accordance with real engine behaviour when knock occurs. Keywords Zero-D model• Engine knock model • Natural gas • Detailed kinetics • SI engine • Heat transfer correlation List of symbols A R Flow area of the valve (m 2 ) A s Heat transfer area (m) B Cylinder bore (m) C D Discharge coefficient CR Compression ratio c p Specific heat capacity at constant pressure (J/kg K) c v Specific heat capacity at constant volume (J/kg K) D V Valve diameter (m) d Q Gas-wall heat transfer (J/CAD) d Q chem Rate of energy released in combustion reactions (J/CAD) h Specific Enthalpy (J/kg) h g Gas-wall heat transfer coefficient (W/m 2 K) B Andrés Felipe Sierra Parra

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Development of an autoignition submodel for natural gas engines⋆

Cited by 25 publications

References 12 publications

Engine Knock Margin Estimation Using In-Cylinder Pressure Measurements

Engine Knock Margin Estimation Using In-Cylinder Pressure Measurements

Knock Occurrence Prediction and Performance Optimization of a Natural Gas S.I. Engine

Improvement of a knock model for natural gas SI engines through heat transfer evaluation

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