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A conceptual approach to help understand and simulate droplet induced pre-ignition is presented. The complex phenomenon of oil-fuel droplet induced pre-ignition has been decomposed to its elementary processes. This approach helps identify the key fluid properties and engine parameters that affect the pre-ignition phenomenon, and could be used to control LSPI. Based on the conceptual model, a 3D CFD engine simulation has been developed which is able to realistically model all of the elementary processes involved in droplet induced pre-ignition. The simulation was successfully able to predict droplet induced pre-ignition at conditions where the phenomenon has been experimentally observed. The simulation has been able to help explain the observation of pre-ignition advancement relative to injection timing as experimentally observed in a previous study [6].

Gasoline Compression Ignition has been widely studied in recent years. The in-cylinder stratified charge in gasoline Partially Premixed Compression Ignition (PPCI) can extend the high load range with lower pressure rise rate than Homogeneous Charge Compression Ignition (HCCI). However, it is still not clear that whether there is flame propagation in the gasoline compression igntion mode and how the flame propagation influences the combustion process and pollution formation. In order to investigate the effect of flame, several gasoline compression ignition cases, including the single-stage and two-stage heat release processes, are simulated with the KIVA-3V Release 2 code in this study. The G-equation is employed to account for flame propagation, and the reduced i-octane/n-heptane mechanism is used to handle the chemical reactions. The results show that the flame propagation exists in the combustion process and it can accelerate the heat release slightly.

Detailed chemical kinetics is essential for accurate prediction of combustion performance as well as emissions in practical combustion engines. However, implementation of that is challenging. In this work, dynamic adaptive chemistry (DAC) is integrated into large eddy simulations (LES) of an n-heptane spray flame in a constant volume chamber (CVC) with realistic application conditions. DAC accelerates the time integration of the governing ordinary differential equations (ODEs) for chemical kinetics through the use of locally (spatially and temporally) valid skeletal mechanisms. Instantaneous flame structures and global combustion characteristics such as ignition delay time, flame lift-off length (LOL) and emissions are investigated to assess the effect of DAC on LES-DAC results. The study reveals that in LES-DAC simulations, the auto-ignition time and LOL obtain a well agreement with experiment data under different oxygen concentrations.