Probabilistic modeling of forced ignition of alternative jet fuels

Fast and reliable high altitude re-ignition is a critical requirement for the development of alternative jet fuels (AJFs). To achieve stable combustion, spark kernel needs to transit in partially or fully extinguished flow develop flame front. Understanding relight characteristics AJFs complicated by chaoticity turbulent variations properties. The focus this study prediction such high-fidelity simulations, with specific on fuel composition effect ignition process. For purpose, previously developed computational framework applied, which utilizes LES hybrid tabulation approach modeling forced detailed quantification uncertainty resulting from initial boundary conditions predict probability. method applied two (named C1 C5) Jet-A A2) under gaseous conditions. Results show that mixing fuel–air mixture not affected process, but chemistry effects strongly dominate In particular, exhibits much lower probability than other fuels, especially at lean operating More importantly, behavior contradictory delay experiments longer times C5 compared C1. Comparisons comprehensive captures trends. Analysis trajectories space shows are caused relative mixing, response strain, properties fuel.