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Methodology Temperature Determination in the Stratified Torch Ignition System
Technical Paper
2020-36-0152
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The nitrogen oxide (NOx) emitted by the internal engines is an undesirable pollutant and responsible for the photochemical smog when reacts with ultraviolet light from the sun. This smog can cause eyes and respiratory system irritation as also damage plants. The torch ignition system has been proving to be a viable alternative for reducing NOx emissions, and it is one of the main attractions of the system. NOx formation is closely related to the system’s work temperature. Thus, determining the temperature in the pre-chamber is of fundamental importance, whereas the torch ignition system operating at a temperature above the specified, could lead to an increase in NOx emissions, in the probability of detonation and in the probability of pre-ignition, the possibility of limiting performance, an increase in mechanical efforts and deformation/ breakage. Thus, the purpose of this article is to develop a methodology for determining the combustion gases temperature in the pre-chamber by stratified load. Thereunto, one-dimensional model was created from the mass conservation and the ideal gas equations. Therefore, a lower generation of NOx and less deterioration by oxidation are expected in the pre-chamber at high temperatures.
Authors
- Victor Abdo N. O Hallack - Instituto Federal de Minas Gerais
- Leonardo Ferreira dos Santos - Instituto Federal de Minas Gerais
- Eduardo Rosa Moreira - Instituto Federal de Minas Gerais
- Darllan Hygor De Paiva Souza - Instituto Federal de Minas Gerais
- Fernando Antônio Rodrigues Filho - Centro Federal de Educação Tecnológica de Minas Gerais -CEFE
- Thiago Augusto Araújo Moreira - Instituto Federal de Minas Gerais
- Tiago Ferreira Simão - Instituto Federal de Minas Gerais
Topic
Citation
Hallack, V., Santos, L., Moreira, E., Souza, D. et al., "Methodology Temperature Determination in the Stratified Torch Ignition System," SAE Technical Paper 2020-36-0152, 2021, https://doi.org/10.4271/2020-36-0152.Data Sets - Support Documents
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References
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