Evaluation of a Scale-Resolving Methodology for the Multidimensional Simulation of GDI Sprays

Giovanni Di Ilio, Vesselin K. Krastev and Giacomo Falcucci
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Giovanni Di Ilio: Department of Engineering, University of Rome “Niccolò Cusano”, Via Don Carlo Gnocchi, 3, 00166 Rome, Italy
Vesselin K. Krastev: Department of Enterprise Engineering “Mario Lucertini”, University of Rome “Tor Vergata”, Via del Politecnico, 1, 00133 Rome, Italy
Giacomo Falcucci: Department of Enterprise Engineering “Mario Lucertini”, University of Rome “Tor Vergata”, Via del Politecnico, 1, 00133 Rome, Italy

Energies, 2019, vol. 12, issue 14, 1-13

Abstract: The introduction of new emissions tests in real driving conditions ( Real Driving Emissions—RDE ) as well as of improved harmonized laboratory tests ( World Harmonised Light Vehicle Test Procedure—WLTP ) is going to dramatically cut down NO x and particulate matter emissions for new car models that are intended to be fully Euro 6d compliant from 2020 onwards. Due to the technical challenges related to exhaust gases’ aftertreatment in small-size diesel engines, the current powertrain development trend for light passenger cars is shifted towards the application of different degrees of electrification to highly optimized gasoline direct injection (GDI) engines. As such, the importance of reliable multidimensional computational tools for GDI engine optimization is rapidly increasing. In the present paper, we assess a hybrid scale-resolving turbulence modeling technique for GDI fuel spray simulation, based on the Engine Combustion Network “Spray G” standard test case. Aspects such as the comparison with Reynolds-averaged methods and the sensitivity to the spray model parameters are discussed, and strengths and uncertainties of the analyzed hybrid approach are pointed out. The outcomes of this study serve as a basis for the evaluation of scale-resolving turbulence modeling options for the development of next-generation directly injected thermal engines.

Keywords: gasoline direct injection; ECN spray G; Eulerian–Lagrangian numerical approach; turbulence modeling; detached eddy simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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