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Effects of Geometry on Passive Pre-Chamber Combustion Characteristics
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 14, 2020 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Towards a fundamental understanding of the ignition characteristics of pre-chamber (PC) combustion engines, computational fluid dynamics (CFD) simulations were conducted using CONVERGE. To assist the initial design of the KAUST pre-chamber engine experiments, the primary focus of the present study was to assess the impact of design parameters such as throat diameter, nozzle diameter, and nozzle length. The well-stirred reactor combustion model coupled with a methane oxidation mechanism reduced from GRI 3.0 was used. A homogeneous charge of methane and air with λ = 1.3 on both the PC and main chamber (MC) was assumed. The geometrical parameters were shown to affect the pre-chamber combustion characteristics, such as pressure build-up, radical formation, and heat release as well as the composition of the jets penetrating and igniting the main chamber charge. In addition, the backflow of species pushed inside the pre-chamber due to the flow reversal (FR) event was analyzed. It was found that the narrow throat type of pre-chamber is strongly influenced by the throat diameter, but weakly influence by nozzle length. A flow reversal pattern was observed, which promoted the accumulation of intermediate species in the PC, leading to a secondary heat release.
- Mickael Silva - King Abdullah University of Science & Technology
- Sangeeth Sanal - King Abdullah University of Science & Technology
- Ponnya Hlaing - King Abdullah University of Science & Technology
- Emre Cenker - Saudi Aramco
- Bengt Johansson - King Abdullah University of Science & Technology
- Hong G. Im - King Abdullah University of Science & Technology
CitationSilva, M., Sanal, S., Hlaing, P., Cenker, E. et al., "Effects of Geometry on Passive Pre-Chamber Combustion Characteristics," SAE Technical Paper 2020-01-0821, 2020, https://doi.org/10.4271/2020-01-0821.
Data Sets - Support Documents
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