The study focuses on two key aspects of combustion: ignition delay times and laminar flame speeds. For IDTs, the project proposes a correlation based on experimental data from fuel blends such as n-heptane, iso-octane, and ethanol, using shock tubes and rapid compression machines to capture fuel reactivity across various conditions. The LFS correlation is developed using Monte-Carlo simulations to model randomly generated gasoline mixtures, predicting flame speeds over a range of pressures, temperatures, and equivalence ratios. Both correlations are validated against experimental data, providing tools for optimizing engine performance and reducing emissions.

^{Performance of IDT correlation (Livengood Wu) for single-component fuels (green background line width represents ± 20% deviations)}

^{Comparison between the expected IDTs of random multicomponent mixtures and the harmonic average IDTs of equimolar mixtures.}

Comparison between predicted LFS, and experimental gasoline LFS data. The green lines are ± 10% deviations.

Impacts