Open Access
Open access
Fire, volume 8, issue 3, pages 117

A Combined 1D/3D Method to Accurately Model Fuel Stratification in an Advanced Combustion Engine

Adiel Sadloe 1
Pourya Rahnama 1, 2
R Novella 2
Bart Somers 1
1
 
Power & Flow—Department of Mechanical Engineering, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands
2
 
CMT—Motores Térmicos, Polytechnic University of Valencia, Camino de Vera s/n, E-46022 Valencia, Spain
Publication typeJournal Article
Publication date2025-03-20
Journal: Fire
scimago Q1
SJR0.566
CiteScore3.1
Impact factor3
ISSN25716255
Abstract

For computational fluid dynamic (CFD) modeling of advanced combustion engines, the cylinder is usually considered a closed system in which the initial conditions are estimated based on the experimental data. Most of these approximations hinder observing the effect of design parameters on engine performance and emissions accurately, and most studies are limited to a few design parameters. An approach is proposed based on the combination of a 1D gas dynamic and a 3D CFD model to simulate the whole engine with as few simplifications as possible. The impact of changing the in-cylinder initial conditions, injection strategy (dual direct injection or multiple pulse injections), and piston bowl geometry on a reactivity controlled compression ignition (RCCI) engine’s performance, emissions, and fuel stratification levels was investigated. It was found that applying the dual direct injection (DDI) strategy to the engine can be promising to reach higher load operations by reducing the pressure rise rate and causing stronger stratification levels. Increasing the number of injection pulses leads to lower Soot/NOx emissions. The best reduction in the pressure rise rate was found by the dual direct strategy (38.36% compared to the base experimental case) and higher exhaust gas recirculation (EGR) levels (41.83% reduction in comparison with the base experimental case). With the help of a novel piston bowl design, HC and CO emissions were reduced significantly. This resulted in a reduction of 54.58% in HC emissions and 80.22% in CO emissions.

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