@inproceedings{8f625323ec294c35964f3e8325cf2af3,
title = "X-ray Data Enabled Improved Near Nozzle Spray Validation for ARC-M1 Combustor",
abstract = "The flow and flame dynamics within liquid fueled gas turbine combustors are complex due to the interactions between the highly turbulent flow, spray dynamics and combustion. Computational tools help understand these governing processes. Near nozzle spray characteristics are particularly challenging to obtain for initialization and validation of simulations. With the availability of high-quality X-ray data for the research combustor ARC-M1, this near nozzle behavior can be characterized and used for extensive validation of the Computational Fluid Dynamics modeling approach at gas turbine conditions. This work presents such a strategy and the impact of the different spray model parameters on the droplet characteristics and behavior in the near nozzle behavior. The impact of liquid flow rate and air flow rate variation on the near nozzle spray physics is analyzed and droplet sizes and velocity behavior is shown to be closely tied with the atomization and subsequent flame shape.",
author = "Debolina Dasgupta and Sibendu Som and Wood, {Eric J.} and Tonghun Lee and Eric Mayhew and Temme, {Jacob E.} and Kweon, {Chol Bum M.}",
note = "Funding Information: The simulation research was sponsored by the Army Research Laboratory. The experimental research was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement Numbers W911NF-20-2-0220, W911NF-19-2-0239, and W911NF-18-2-0240 (ORAU Student Fellowship). This research was also funded by the U.S. Federal Aviation Administration Office of Environment and Energy through ASCENT, the FAA Center of Excellence for Alternative Jet Fuels and the Environment, project 65b Rapid Jet Fuel Prescreening through FAA Award Number DOT FAA 13-C-AJFE-UI 030 under the supervision of Anna Oldani. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the FAA. This research used resources of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357. The authors would like to thank Dr. Prithwish Kundu for his modeling efforts in initial phases of this research. The submitted manuscript has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory (Argonne). 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.. 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 CFD simulations were performed using computing resources provided on Bebop, a high-performance computing cluster operated by the Laboratory Computing Resource Center (LCRC) at Argonne. Lastly, the authors wish to thank Convergent Science, Inc. for providing the CONVERGE software licenses. Publisher Copyright: {\textcopyright} 2022, American Institute of Aeronautics and Astronautics Inc.. All rights reserved.; AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 ; Conference date: 03-01-2022 Through 07-01-2022",
year = "2022",
doi = "10.2514/6.2022-2059",
language = "English (US)",
isbn = "9781624106316",
series = "AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA SciTech Forum 2022",
}