TY - GEN
T1 - Numerical Modeling of Jet Fuel Ignition and Ensuing Combustion using a Superheated Ignition Assistant
AU - Oruganti, Surya Kaundinya
AU - Torelli, Roberto
AU - Wiersema, Paxton
AU - Lee, Tonghun
AU - Kim, Kenneth
AU - Mayhew, Eric
AU - Kweon, Chol Bum “Mike”
N1 - The submitted manuscript has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory (Argonne). Argonne, a U.S. Department of Energy Office (DOE) of Science laboratory, is operated under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up nonexclusive, irrevocable world-wide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, by or on behalf of the Government. This research was sponsored by the DEVCOM Army Research Laboratory. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The work by Tonghun Lee and Paxton Wiersema was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement Numbers W911NF-20-2-0220. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein. The authors also wish to thank: 1. Bebop High Performance LCRC cluster facilities at Argonne National Laboratory; and 2. Convergent Science Inc., for providing the CONVERGE CFD software licenses.
PY - 2024
Y1 - 2024
N2 - Energy-assisted ignition of liquid fuel sprays using superheated ignition assistant (IA) devices is a promising option for achieving consistently repeatable ignition of low-cetane-number jet fuels in airborne compression ignition engines operating at high altitudes. However, the repeated injection and combustion events occurring during the IA lifetime can lead to thermal fatigue and surface erosion of the IA. Designing an efficient and durable IA requires a detailed understanding of the complex physics of spray-wall interaction, fuel-air mixture ignition mechanism, and ensuing combustion process. Therefore, the objective of this study is to develop a comprehensive numerical framework to characterize the ignition processes of F-24 jet fuel resulting from the interaction between the fuel spray and the IA, in a rapid compression machine (RCM). A new data-driven skeletal chemical kinetic mechanism developed by the authors was used to model the ignition and combustion processes accurately. Additionally, a new phenomenological thermal spray-wall interaction (PT-SWI) model previously proposed by the authors was used to model the effects of film-boiling-induced heat transfer, atomization, and dispersion of fuel spray droplets impinging on the superheated IA surface. In this work, the authors combined the PT-SWI model and the skeletal chemistry mechanism to assess the accuracy of this modeling framework in predicting the different ignition modes and ensuing flame structures. Validation was performed against RCM optical experimental data for different IA surface temperatures and insertion depths.
AB - Energy-assisted ignition of liquid fuel sprays using superheated ignition assistant (IA) devices is a promising option for achieving consistently repeatable ignition of low-cetane-number jet fuels in airborne compression ignition engines operating at high altitudes. However, the repeated injection and combustion events occurring during the IA lifetime can lead to thermal fatigue and surface erosion of the IA. Designing an efficient and durable IA requires a detailed understanding of the complex physics of spray-wall interaction, fuel-air mixture ignition mechanism, and ensuing combustion process. Therefore, the objective of this study is to develop a comprehensive numerical framework to characterize the ignition processes of F-24 jet fuel resulting from the interaction between the fuel spray and the IA, in a rapid compression machine (RCM). A new data-driven skeletal chemical kinetic mechanism developed by the authors was used to model the ignition and combustion processes accurately. Additionally, a new phenomenological thermal spray-wall interaction (PT-SWI) model previously proposed by the authors was used to model the effects of film-boiling-induced heat transfer, atomization, and dispersion of fuel spray droplets impinging on the superheated IA surface. In this work, the authors combined the PT-SWI model and the skeletal chemistry mechanism to assess the accuracy of this modeling framework in predicting the different ignition modes and ensuing flame structures. Validation was performed against RCM optical experimental data for different IA surface temperatures and insertion depths.
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U2 - 10.2514/6.2024-2778
DO - 10.2514/6.2024-2778
M3 - Conference contribution
AN - SCOPUS:85195595840
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 -