Data-Driven Combustion Kinetic Modeling Concept of Alternative Alcohol-to-Jet (ATJ) Fuel
Keun‐Soo Kim, Je Ir Ryu, Brendan McGann, Kyungwook Min, Jacob Temme, Chol-Bum Kweon, Tonghun Lee
Abstract
View Video Presentation: https://doi.org/10.2514/6.2021-1245.vid The autoignition characteristics of an alternative alcohol to jet (ATJ) fuel are examined by analyzing chemical ignition delay using a rapid compression machine (RCM) and shock tube. Additionally, a data-driven chemical kinetic mechanism based on the HyChem approach of ATJ is proposed for modeling the ignition process. Ignition delay times of ATJ are measured at a compressed pressure of PC = 2 MPa and at stoichiometric condition (ϕ=1) in synthetic dry air, between 667 K and 1250 K. The unique chemical structures of isoalkanes result in relatively low chemical reactivity under intermediate and low temperatures. Based on empirical results for ignition delay curves, a new lumped mechanism is optimized using a genetic algorithm. The newly introduced data-driven mechanism shows good performance not only for the high temperature regions as expected for HyChem, but over the entire negative temperature coefficient (NTC) and low temperature regimes. The experimental data and the kinetic model developed for ATJ in this study can offer understanding of the oxidation of extreme fuels in practical combustion systems which operate in NTC or low temperature conditions.