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Issue No. 04 - Jul./Aug. (2018 vol. 20)
ISSN: 1521-9615
pp: 56-65
David P. Markt , University of Massachusetts, Dartmouth
Ashish Pathak , University of Massachusetts, Dartmouth
Mehdi Raessi , University of Massachusetts, Dartmouth
ABSTRACT
The authors present a computational study of drop-train impingement on a smooth, initially dry surface, with the aim of providing a high-quality dataset to develop reliable spray-wall interaction submodels for engine simulations. Such submodels require information at micron scales, which is unfeasible to obtain experimentally under high-pressure engine conditions. However, supercomputing and high-resolution simulations can resolve thin liquid structures and their breakup, yielding accurate datasets for liquid splashing and film deposition. The current study employs an MPI-parallel multiphase flow solver to simulate surface impingement of a train of ethanol drops. Comparing its results to the experiments, the solvers capability in accurately capturing the sharp splashing threshold and splashed mass ratio was demonstrated. Through a computational technique that tags individual drops, further insight into the splashing dynamics postimpingement was gained, which could be used to formulate more sophisticated spray-wall interaction submodels.
INDEX TERMS
Computational modeling, Liquids, Ethanol, Fuels, Computational fluid dynamics, Micrometers, Numerical models
CITATION

D. P. Markt, A. Pathak and M. Raessi, "Advanced Computational Simulations of Surface Impingement of a Train of Ethanol Drops: A Pathway to Developing Spray-Wall Interaction Submodels," in Computing in Science & Engineering, vol. 20, no. 4, pp. 56-65, 2018.
doi:10.1109/MCSE.2018.042781326
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