Parameter Identification of a Quasi-Dimensional Spark-Ignition Engine Combustion Model

2014 ◽  
Author(s):  
Ramin Masoudi ◽  
Hadi Adibi asl ◽  
Nasser Lashgarian Azad ◽  
John McPhee
Keyword(s):  
Parameter Identification ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Combustion Model ◽  
Engine Combustion

Computational optimization of CH4/H2/CO blends in a spark-ignition engine using quasi-dimensional combustion model

Fuel ◽  
2021 ◽  
Vol 303 ◽  
pp. 121281
Author(s):  
Amin Paykani ◽  
Christos E. Frouzakis ◽  
Christian Schürch ◽  
Federico Perini ◽  
Konstantinos Boulouchos
Keyword(s):  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Combustion Model ◽  
Computational Optimization

scholarly journals Numerical Study of Engine Performance and Emissions for Port Injection of Ammonia into a Gasoline\Ethanol Dual-Fuel Spark Ignition Engine

2021 ◽  
Vol 11 (4) ◽  
pp. 1441
Author(s):  
Farhad Salek ◽  
Meisam Babaie ◽  
Amin Shakeri ◽  
Seyed Vahid Hosseini ◽  
Timothy Bodisco ◽  
...  
Keyword(s):  
Numerical Study ◽  
Combustion Process ◽  
Engine Performance ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Combustion Model ◽  
Dual Fuel ◽  
Spark Ignition Engines ◽  
Performance And Emissions ◽  
Hc Emissions

This study aims to investigate the effect of the port injection of ammonia on performance, knock and NOx emission across a range of engine speeds in a gasoline/ethanol dual-fuel engine. An experimentally validated numerical model of a naturally aspirated spark-ignition (SI) engine was developed in AVL BOOST for the purpose of this investigation. The vibe two zone combustion model, which is widely used for the mathematical modeling of spark-ignition engines is employed for the numerical analysis of the combustion process. A significant reduction of ~50% in NOx emissions was observed across the engine speed range. However, the port injection of ammonia imposed some negative impacts on engine equivalent BSFC, CO and HC emissions, increasing these parameters by 3%, 30% and 21%, respectively, at the 10% ammonia injection ratio. Additionally, the minimum octane number of primary fuel required to prevent knock was reduced by up to 3.6% by adding ammonia between 5 and 10%. All in all, the injection of ammonia inside a bio-fueled engine could make it robust and produce less NOx, while having some undesirable effects on BSFC, CO and HC emissions.

Model-Based Combustion Duration and Ignition Timing Prediction for Combustion Phasing Control of a Spark-Ignition Engine Using In-Cylinder Pressure Sensors

2019 ◽  
Author(s):  
Xin Wang ◽  
Amir Khameneian ◽  
Paul Dice ◽  
Bo Chen ◽  
Mahdi Shahbakhti ◽  
...  
Keyword(s):  
Pressure Sensors ◽  
Spark Ignition ◽  
Operating Conditions ◽  
Spark Ignition Engine ◽  
Combustion Model ◽  
Ignition Timing ◽  
Model Based ◽  
Crank Angle ◽  
Si Engines ◽  
Phasing Control

Abstract Combustion phasing, which can be defined as the crank angle of fifty percent mass fraction burned (CA50), is one of the most important parameters affecting engine efficiency, torque output, and emissions. In homogeneous spark-ignition (SI) engines, ignition timing control algorithms are typically map-based with several multipliers, which requires significant calibration efforts. This work presents a framework of model-based ignition timing prediction using a computationally efficient control-oriented combustion model for the purpose of real-time combustion phasing control. Burn duration from ignition timing to CA50 (ΔθIGN-CA50) on an individual cylinder cycle-by-cycle basis is predicted by the combustion model developed in this work. The model is based on the physics of turbulent flame propagation in SI engines and contains the most important control parameters, including ignition timing, variable valve timing, air-fuel ratio, and engine load mostly affected by combination of the throttle opening position and the previous three parameters. With 64 test points used for model calibration, the developed combustion model is shown to cover wide engine operating conditions, thereby significantly reducing the calibration effort. A Root Mean Square Error (RMSE) of 1.7 Crank Angle Degrees (CAD) and correlation coefficient (R2) of 0.95 illustrates the accuracy of the calibrated model. On-road vehicle testing data is used to evaluate the performance of the developed model-based burn duration and ignition timing algorithm. When comparing the model predicted burn duration and ignition timing with experimental data, 83% of the prediction error falls within ±3 CAD.

scholarly journals The effect of swirl on spark-ignition engine combustion.

1987 ◽  
Vol 30 (270) ◽  
pp. 1995-2002 ◽  
Author(s):  
Yoshisuke HAMAMOTO ◽  
Eiji TOMITA ◽  
Yutaka TANAKA ◽  
Tetsuya KATAYAMA ◽  
Yasuki TAMURA
Keyword(s):  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Engine Combustion

Performance and Emission Predictions for a Multi-Cylinder Spark Ignition Engine

1977 ◽  
Vol 191 (1) ◽  
pp. 339-354 ◽  
Author(s):  
R. S. Benson ◽  
P. C. Baruah
Keyword(s):  
Wave Equations ◽  
Spark Ignition ◽  
Reaction Scheme ◽  
Spark Ignition Engine ◽  
Combustion Model ◽  
Performance And Emission ◽  
Nitric Oxide Formation ◽  
Performance And Emissions ◽  
The Common ◽  
Good Agreement

A comparison is made of experimental results and predictions of performance and emissions from a multi-cylinder spark ignition engine over a range of air-fuel ratios and two throttle settings. The results showed that a simplified two zone combustion model, a seven reaction scheme for nitric oxide formation, a partial freezing model for carbon monoxide and the inclusion of chemical reactions and variable specific heat along the pathlines in the wave equations gave good agreement with the measurements at the common pipe junction and exhaust outlet, but due to cyclic dispersion and maldistribution of fuel between cylinders the predictions of the emissions in the exhaust manifold adjacent to the cylinder were not so good. The predicted air flow and indicated power agreed well with experiment.

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