Advanced Computational Simulations of Surface Impingement of a Train of Ethanol Drops: A Pathway to Developing Spray-Wall Interaction Submodels

作者: David P. Markt , Ashish Pathak , Mehdi Raessi

DOI: 10.1109/MCSE.2018.042781326

关键词: MechanicsSupercomputerMultiphase flowCurrent (fluid)Deposition (phase transition)SolverComputer scienceBreakupComputational fluid dynamicsSurface (mathematics)

摘要: The authors present a computational study of drop-train impingement on smooth, initially dry surface, with the aim providing high-quality dataset to develop reliable spray-wall interaction submodels for engine simulations. Such require information at micron scales, which is unfeasible obtain experimentally under high-pressure conditions. However, supercomputing and high-resolution simulations can resolve thin liquid structures their breakup, yielding accurate datasets splashing film deposition. current employs an MPI-parallel multiphase flow solver simulate surface train ethanol drops. Comparing its results experiments, solvers capability in accurately capturing sharp threshold splashed mass ratio was demonstrated. Through technique that tags individual drops, further insight into dynamics postimpingement gained, could be used formulate more sophisticated submodels.

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