
Detailed Spark Ignition Modelling applied to Compressed Natural Gas Engines
Gunesh Tallu(Author)
TEWISS (Publisher)
1st Edition
Published on 16. December 2022
Book
188 pages
978-3-95900-757-3 (ISBN)
Description
For compressed natural gas engines, the ignition and combustion processes need particular attention. In this work, an advanced spark ignition model is developed for application in the three-dimensional Computational Fluid Dynamics (3D CFD) simulation. Here the flame kernel development is modelled with chemical heat released by the air-fuel mixture and spark ignition parameters. Pre-calculated libraries of thermo-kinetic properties are used to couple detailed chemical kinetic mechanisms with this model. A cluster of Lagrangian particles caters to the effects of turbulence on flame kernel movement. The consecutive flame propagation is modelled with the G-Equation level set approach.
Extensive validation of this model is carried out with experiments spanning from a constant volume chamber, a rapid compression machine and a transparent engine to serial engines with open chamber and with lean prechamber spark ignition. The model is applied for broadly varied boundary conditions, including ultra-lean mixtures. With the help of different calculated parameters, this model can also predict rare events like a misfire and restrike beforehand.
Extensive validation of this model is carried out with experiments spanning from a constant volume chamber, a rapid compression machine and a transparent engine to serial engines with open chamber and with lean prechamber spark ignition. The model is applied for broadly varied boundary conditions, including ultra-lean mixtures. With the help of different calculated parameters, this model can also predict rare events like a misfire and restrike beforehand.
More details
Series
Thesis
Doctoral thesis
2022
Gottfried Wilhelm Leibniz Universität Hannover
Language
English
Place of publication
Garbsen
Germany
Dimensions
Height: 21 cm
Width: 14 cm
Weight
212 gr
ISBN-13
978-3-95900-757-3 (9783959007573)
Schweitzer Classification
Persons
Author
ISNI: 0000 0005 1634 5166 GND: 127872768X
Series Editor
ISNI: 0000 0000 0629 7555 GND: 110331230