作者: David P. Markt , Ashish Pathak , Mehdi Raessi
DOI: 10.1109/MCSE.2018.042781326
关键词: Mechanics 、 Supercomputer 、 Multiphase flow 、 Current (fluid) 、 Deposition (phase transition) 、 Solver 、 Computer science 、 Breakup 、 Computational fluid dynamics 、 Surface (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.