TY - GEN
T1 - Development of a Gasoline and Jet Fuel Blend Kinetic Mechanism using Hybrid Response Surface Networks
AU - Wiersema, Paxton
AU - Kim, Keunsoo
AU - Mayhew, Eric
AU - Temme, Jacob
AU - Kweon, Chol Bum
AU - Lee, Tonghun
N1 - Publisher Copyright:
© 2024 by Paxton Wiersema and Tonghun Lee. Published by the American Institute of Aeronautics and Astronautics, Inc.
PY - 2024
Y1 - 2024
N2 - Understanding sustainable aviation fuels is becoming increasingly important as there is a significant push to introduce them into the current fuel infrastructure. This study presents a method to develop a blended mechanism between two fuels, gasoline and F-24, with dramatically different ignition characteristics as would be found in many blends of a SAF with a conventional jet fuel. In previous works, mechanisms have been developed through a data-driven optimization process that allows for the fitting of reaction rates coefficients to experimental ignition delay data. This approach creates mechanisms with accurate predictions of ignition delay at the target conditions but introduces unknown levels of uncertainty in the species histories, and the model predictions at conditions not specified in the experimental data. To further understand this uncertainty, a hybrid response surface technique was created that can rapidly optimize the mechanisms towards the experimental data many times to create a distribution of solutions. Ignition delays were measured for gasoline, F-24, and 25/75, 50/50, and 75/25 volumetric blends of the two fuels at temperatures ranging from 650 to 1300 K, pressures of 20 and 30 bar, and equivalence ratios of 0.5, 1.0, and 1.3. A mechanism for the gasoline and F-24 blends was developed using a data-driven optimization method. Using the hybrid response surface method, a distribution of solutions to the data-driven optimization problem was found for the blend mechanism. The distribution of solutions showed the variability in solutions by examining the results of simulations not specified in the target experimental data. The variability in the results showed decreased uncertainty as the blend ratio of gasoline decreased. Two experimental pressure conditions provided an improved constraint on the pressure dependence and therefore the applicable range of the final mechanisms. From these results, a blend mechanism of F-24 and gasoline was suggested.
AB - Understanding sustainable aviation fuels is becoming increasingly important as there is a significant push to introduce them into the current fuel infrastructure. This study presents a method to develop a blended mechanism between two fuels, gasoline and F-24, with dramatically different ignition characteristics as would be found in many blends of a SAF with a conventional jet fuel. In previous works, mechanisms have been developed through a data-driven optimization process that allows for the fitting of reaction rates coefficients to experimental ignition delay data. This approach creates mechanisms with accurate predictions of ignition delay at the target conditions but introduces unknown levels of uncertainty in the species histories, and the model predictions at conditions not specified in the experimental data. To further understand this uncertainty, a hybrid response surface technique was created that can rapidly optimize the mechanisms towards the experimental data many times to create a distribution of solutions. Ignition delays were measured for gasoline, F-24, and 25/75, 50/50, and 75/25 volumetric blends of the two fuels at temperatures ranging from 650 to 1300 K, pressures of 20 and 30 bar, and equivalence ratios of 0.5, 1.0, and 1.3. A mechanism for the gasoline and F-24 blends was developed using a data-driven optimization method. Using the hybrid response surface method, a distribution of solutions to the data-driven optimization problem was found for the blend mechanism. The distribution of solutions showed the variability in solutions by examining the results of simulations not specified in the target experimental data. The variability in the results showed decreased uncertainty as the blend ratio of gasoline decreased. Two experimental pressure conditions provided an improved constraint on the pressure dependence and therefore the applicable range of the final mechanisms. From these results, a blend mechanism of F-24 and gasoline was suggested.
UR - http://www.scopus.com/inward/record.url?scp=85192195083&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85192195083&partnerID=8YFLogxK
U2 - 10.2514/6.2024-0176
DO - 10.2514/6.2024-0176
M3 - Conference contribution
AN - SCOPUS:85192195083
SN - 9781624107115
T3 - AIAA SciTech Forum and Exposition, 2024
BT - AIAA SciTech Forum and Exposition, 2024
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA SciTech Forum and Exposition, 2024
Y2 - 8 January 2024 through 12 January 2024
ER -