2015
DOI: 10.4271/2015-24-2403
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LES Modelling of Spark-Ignition Cycle-to-Cycle Variability on a Highly Downsized DISI Engine

Abstract: The paper reports an activity aiming at characterizing cycle-to-cycle variability (CCV) of the spark-ignition (SI) process in a high performance engine. The numerical simulation of spark-ignition and of early flame kernel evolution are major challenges, mainly due to the time scales of the spark discharge process and to the reduced spatial scales of flame kernel. Typical mesh resolutions are insufficient to resolve the process and a dedicated treatment has to be provided at a subgrid level if the ignition proc… Show more

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Cited by 41 publications
(28 citation statements)
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“…Looking at the equivalence ratio distributions for the two cases (on the right side of Figure 11), we note a non-insignificant level of stratification for both cases, given that this is a PFI engine. 16,43 There also seems to be a pattern where the right side of the plane in both cycles has a richer mixture, compared to the left. In this work, we see equivalence ratios ranging from 0.8 to 1.2.…”
Section: Decoupling Of Variations In Velocity and Equivalence Ratio Smentioning
confidence: 96%
“…Looking at the equivalence ratio distributions for the two cases (on the right side of Figure 11), we note a non-insignificant level of stratification for both cases, given that this is a PFI engine. 16,43 There also seems to be a pattern where the right side of the plane in both cycles has a richer mixture, compared to the left. In this work, we see equivalence ratios ranging from 0.8 to 1.2.…”
Section: Decoupling Of Variations In Velocity and Equivalence Ratio Smentioning
confidence: 96%
“…This is needed in order to accurately simulate flame size as small as the typical cell size. The adopted model constitutes a remarkable simulation improvement over traditional SI models based on the deposition of a resolved profile of fully-burnt gases [61] and it was demonstrated to explain the governing reasons for CCV origin in different SI engines in [62].…”
Section: Cfd Methodologymentioning
confidence: 99%
“…In addition to the aforementioned techniques, sophisticated approaches such as the G-equations [5], flame surface density [6,7], artificial flame thickening [8,9,10] or conditional moment closure [11,12] are presently been employed to accurately predict flame propagation under the influence of turbulence. In spite of the attendant issues associated with in-cylinder flow and combustion, the Large Eddy Simulation (LES) of internal combustion engine is also being used to analyze a variety of complex issues like NOx formation [13], cycle-to-cycle variations [14,15] and flame-acoustics interactions [16,17]. As long as the demands for low emissions, higher efficiency and improved fuel economy of the internal combustion engine continues, research efforts into the mathematical and numerical techniques for modeling turbulent combustion and associated complex physical phenomena will continue to be of vital interest to engine manufacturers and the engine research community.…”
Section: Introductionmentioning
confidence: 99%