Auto-ignition Modeling in a Spark Ignition Internal Combustion Engine Fueled with Gaseous Fuels with Variable Methane Number

A semi-empirical model for determining Knock Occurrence Crank Angle (KOCA) in a Cooperative Fuel Research (CFR) engine was developed. The model is based on the Integral Model approach and experimental data collected in a factorial 23 with axial and central runs experiment. Mixtures of CH4/H2 were em...

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Autores:
Amador Díaz, Germán Javier
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad del Norte
Repositorio:
Repositorio Uninorte
Idioma:
eng
OAI Identifier:
oai:manglar.uninorte.edu.co:10584/7860
Acceso en línea:
http://hdl.handle.net/10584/7860
Palabra clave:
Motores de combustión interna -- Pruebas
Modelos (Ingeniería)
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License
http://purl.org/coar/access_right/c_abf2
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dc.title.es_ES.fl_str_mv Auto-ignition Modeling in a Spark Ignition Internal Combustion Engine Fueled with Gaseous Fuels with Variable Methane Number
title Auto-ignition Modeling in a Spark Ignition Internal Combustion Engine Fueled with Gaseous Fuels with Variable Methane Number
spellingShingle Auto-ignition Modeling in a Spark Ignition Internal Combustion Engine Fueled with Gaseous Fuels with Variable Methane Number
Motores de combustión interna -- Pruebas
Modelos (Ingeniería)
title_short Auto-ignition Modeling in a Spark Ignition Internal Combustion Engine Fueled with Gaseous Fuels with Variable Methane Number
title_full Auto-ignition Modeling in a Spark Ignition Internal Combustion Engine Fueled with Gaseous Fuels with Variable Methane Number
title_fullStr Auto-ignition Modeling in a Spark Ignition Internal Combustion Engine Fueled with Gaseous Fuels with Variable Methane Number
title_full_unstemmed Auto-ignition Modeling in a Spark Ignition Internal Combustion Engine Fueled with Gaseous Fuels with Variable Methane Number
title_sort Auto-ignition Modeling in a Spark Ignition Internal Combustion Engine Fueled with Gaseous Fuels with Variable Methane Number
dc.creator.fl_str_mv Amador Díaz, Germán Javier
dc.contributor.advisor.none.fl_str_mv Corredor Martínez, Lesme Antonio
dc.contributor.author.none.fl_str_mv Amador Díaz, Germán Javier
dc.subject.es_ES.fl_str_mv Motores de combustión interna -- Pruebas
Modelos (Ingeniería)
topic Motores de combustión interna -- Pruebas
Modelos (Ingeniería)
description A semi-empirical model for determining Knock Occurrence Crank Angle (KOCA) in a Cooperative Fuel Research (CFR) engine was developed. The model is based on the Integral Model approach and experimental data collected in a factorial 23 with axial and central runs experiment. Mixtures of CH4/H2 were employed as fuel. The model was accurate enough to predict KOCA with a maximum and minimum error of just 3.6 and 0.9 degrees respectively. To study the auto-ignition chemistry and its relationship with the knock resistance of gaseous fuels, the Methane Number of CO/CO2/H2 mixtures were measured. A correlation for estimating Methane Number as a function of fuel compositions was proposed. The proposed correlation is a good tool for estimating the Methane Number of fuels with high concentration of carbon dioxide, carbon monoxide and hydrogen. A comprehensive evaluation of the accuracy of a detailed chemical kinetics mechanism for predicting KOCA in a CFR engine was carried out. The spark ignition engine model of Chemkin Pro® software coupled with Gri-Mech. 3.0 chemical kinetics mechanism was used to model auto-ignition A set of equations for calculating residual gas fraction (x_r), inlet valve close gas temperature (T_IVC) and residual gas temperature?(T?_r) were proposed. Moreover, a technique for estimating combustion parameters from the indicator diagram was developed. Results reveal that accuracy of the mechanism used for estimating KOCA decreases as compression ratio decreases. This result is consistent with the lack of accuracy of the mechanism for predicting ignition delay time of gaseous fuel at low temperature.
publishDate 2017
dc.date.issued.none.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2018-01-24T20:59:31Z
dc.date.available.none.fl_str_mv 2018-01-24T20:59:31Z
dc.type.es_ES.fl_str_mv doctoralThesis
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_db06
dc.type.hasVersion.es_ES.fl_str_mv acceptedVersion
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10584/7860
url http://hdl.handle.net/10584/7860
dc.language.iso.es_ES.fl_str_mv eng
language eng
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv http://purl.org/coar/access_right/c_abf2
dc.format.es_ES.fl_str_mv application/pdf
dc.publisher.es_ES.fl_str_mv Universidad del Norte
dc.publisher.program.es_ES.fl_str_mv Doctorado en Ingeniería Mecánica
dc.publisher.department.es_ES.fl_str_mv Departamento de Ingeniería Mecánica
institution Universidad del Norte
bitstream.url.fl_str_mv https://manglar.uninorte.edu.co/bitstream/10584/7860/1/11.pdf
https://manglar.uninorte.edu.co/bitstream/10584/7860/2/license.txt
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spelling Corredor Martínez, Lesme AntonioAmador Díaz, Germán JavierDoctor en Ingeniería Civil2018-01-24T20:59:31Z2018-01-24T20:59:31Z2017http://hdl.handle.net/10584/7860A semi-empirical model for determining Knock Occurrence Crank Angle (KOCA) in a Cooperative Fuel Research (CFR) engine was developed. The model is based on the Integral Model approach and experimental data collected in a factorial 23 with axial and central runs experiment. Mixtures of CH4/H2 were employed as fuel. The model was accurate enough to predict KOCA with a maximum and minimum error of just 3.6 and 0.9 degrees respectively. To study the auto-ignition chemistry and its relationship with the knock resistance of gaseous fuels, the Methane Number of CO/CO2/H2 mixtures were measured. A correlation for estimating Methane Number as a function of fuel compositions was proposed. The proposed correlation is a good tool for estimating the Methane Number of fuels with high concentration of carbon dioxide, carbon monoxide and hydrogen. A comprehensive evaluation of the accuracy of a detailed chemical kinetics mechanism for predicting KOCA in a CFR engine was carried out. The spark ignition engine model of Chemkin Pro® software coupled with Gri-Mech. 3.0 chemical kinetics mechanism was used to model auto-ignition A set of equations for calculating residual gas fraction (x_r), inlet valve close gas temperature (T_IVC) and residual gas temperature?(T?_r) were proposed. Moreover, a technique for estimating combustion parameters from the indicator diagram was developed. Results reveal that accuracy of the mechanism used for estimating KOCA decreases as compression ratio decreases. This result is consistent with the lack of accuracy of the mechanism for predicting ignition delay time of gaseous fuel at low temperature.application/pdfengUniversidad del NorteDoctorado en Ingeniería MecánicaDepartamento de Ingeniería MecánicaMotores de combustión interna -- PruebasModelos (Ingeniería)Auto-ignition Modeling in a Spark Ignition Internal Combustion Engine Fueled with Gaseous Fuels with Variable Methane NumberdoctoralThesisacceptedVersionhttp://purl.org/coar/resource_type/c_db06http://purl.org/coar/access_right/c_abf2ORIGINAL11.pdf11.pdfapplication/pdf5328255https://manglar.uninorte.edu.co/bitstream/10584/7860/1/11.pdfc43523a135108a31b0c97f611db2e021MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://manglar.uninorte.edu.co/bitstream/10584/7860/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5210584/7860oai:manglar.uninorte.edu.co:10584/78602022-01-18 10:52:46.058Repositorio Digital de la Universidad del Nortemauribe@uninorte.edu.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