Large-Eddy Simulation of Laser-Ignited Direct Injection Gasoline Spray for Emission Control

Large-Eddy Simulations (LES) of a gasoline spray, where the mixture was ignited rapidly during or after injection, were performed in comparison to a previous experimental study with quantitative flame motion and soot formation data [SAE 2020-01-0291] and an accompanying Reynolds-Averaged Navier–Stok...

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Autores principales: Fabien Tagliante, Tuan M. Nguyen, Lyle M. Pickett, Hyung Sub Sim
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:ca3f905b16334e1e9d630ea4499d832c2021-11-11T16:01:33ZLarge-Eddy Simulation of Laser-Ignited Direct Injection Gasoline Spray for Emission Control10.3390/en142172761996-1073https://doaj.org/article/ca3f905b16334e1e9d630ea4499d832c2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7276https://doaj.org/toc/1996-1073Large-Eddy Simulations (LES) of a gasoline spray, where the mixture was ignited rapidly during or after injection, were performed in comparison to a previous experimental study with quantitative flame motion and soot formation data [SAE 2020-01-0291] and an accompanying Reynolds-Averaged Navier–Stokes (RANS) simulation at the same conditions. The present study reveals major shortcomings in common RANS combustion modeling practices that are significantly improved using LES at the conditions of the study, specifically for the phenomenon of rapid ignition in the highly turbulent, stratified mixture. At different ignition timings, benchmarks for the study include spray mixing and evaporation, flame propagation after ignition, and soot formation in rich mixtures. A comparison of the simulations and the experiments showed that the LES with Dynamic Structure turbulence were able to capture correctly the liquid penetration length, and to some extent, spray collapse demonstrated in the experiments. For early and intermediate ignition timings, the LES showed excellent agreement to the measurements in terms of flame structure, extent of flame penetration, and heat-release rate. However, RANS simulations (employing the common G-equation or well-stirred reactor) showed much too rapid flame spread and heat release, with connections to the predicted turbulent kinetic energy. With confidence in the LES for predicted mixture and flame motion, the predicted soot formation/oxidation was also compared to the experiments. The soot location was well captured in the LES, but the soot mass was largely underestimated using the empirical Hiroyasu model. An analysis of the predicted fuel–air mixture was used to explain different flame propagation speeds and soot production tendencies when varying ignition timing.Fabien TaglianteTuan M. NguyenLyle M. PickettHyung Sub SimMDPI AGarticlemixed-mode combustiondirect injection gasoline sprayLarge-Eddy simulationsflame propagationsootmixture preparationTechnologyTENEnergies, Vol 14, Iss 7276, p 7276 (2021)
institution DOAJ
collection DOAJ
language EN
topic mixed-mode combustion
direct injection gasoline spray
Large-Eddy simulations
flame propagation
soot
mixture preparation
Technology
T
spellingShingle mixed-mode combustion
direct injection gasoline spray
Large-Eddy simulations
flame propagation
soot
mixture preparation
Technology
T
Fabien Tagliante
Tuan M. Nguyen
Lyle M. Pickett
Hyung Sub Sim
Large-Eddy Simulation of Laser-Ignited Direct Injection Gasoline Spray for Emission Control
description Large-Eddy Simulations (LES) of a gasoline spray, where the mixture was ignited rapidly during or after injection, were performed in comparison to a previous experimental study with quantitative flame motion and soot formation data [SAE 2020-01-0291] and an accompanying Reynolds-Averaged Navier–Stokes (RANS) simulation at the same conditions. The present study reveals major shortcomings in common RANS combustion modeling practices that are significantly improved using LES at the conditions of the study, specifically for the phenomenon of rapid ignition in the highly turbulent, stratified mixture. At different ignition timings, benchmarks for the study include spray mixing and evaporation, flame propagation after ignition, and soot formation in rich mixtures. A comparison of the simulations and the experiments showed that the LES with Dynamic Structure turbulence were able to capture correctly the liquid penetration length, and to some extent, spray collapse demonstrated in the experiments. For early and intermediate ignition timings, the LES showed excellent agreement to the measurements in terms of flame structure, extent of flame penetration, and heat-release rate. However, RANS simulations (employing the common G-equation or well-stirred reactor) showed much too rapid flame spread and heat release, with connections to the predicted turbulent kinetic energy. With confidence in the LES for predicted mixture and flame motion, the predicted soot formation/oxidation was also compared to the experiments. The soot location was well captured in the LES, but the soot mass was largely underestimated using the empirical Hiroyasu model. An analysis of the predicted fuel–air mixture was used to explain different flame propagation speeds and soot production tendencies when varying ignition timing.
format article
author Fabien Tagliante
Tuan M. Nguyen
Lyle M. Pickett
Hyung Sub Sim
author_facet Fabien Tagliante
Tuan M. Nguyen
Lyle M. Pickett
Hyung Sub Sim
author_sort Fabien Tagliante
title Large-Eddy Simulation of Laser-Ignited Direct Injection Gasoline Spray for Emission Control
title_short Large-Eddy Simulation of Laser-Ignited Direct Injection Gasoline Spray for Emission Control
title_full Large-Eddy Simulation of Laser-Ignited Direct Injection Gasoline Spray for Emission Control
title_fullStr Large-Eddy Simulation of Laser-Ignited Direct Injection Gasoline Spray for Emission Control
title_full_unstemmed Large-Eddy Simulation of Laser-Ignited Direct Injection Gasoline Spray for Emission Control
title_sort large-eddy simulation of laser-ignited direct injection gasoline spray for emission control
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/ca3f905b16334e1e9d630ea4499d832c
work_keys_str_mv AT fabientagliante largeeddysimulationoflaserigniteddirectinjectiongasolinesprayforemissioncontrol
AT tuanmnguyen largeeddysimulationoflaserigniteddirectinjectiongasolinesprayforemissioncontrol
AT lylempickett largeeddysimulationoflaserigniteddirectinjectiongasolinesprayforemissioncontrol
AT hyungsubsim largeeddysimulationoflaserigniteddirectinjectiongasolinesprayforemissioncontrol
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