Generalizing progress variable definition in CFD simulation of combustion systems using tabulated chemistry models

[EN] In the Computational Fluid Dynamics (CFD) simulation of advanced combustion systems, the chemical kinetics must be examined in detail to predict the emissions and performance characteristics accurately. Nevertheless, the combustion simulation with detailed chemical kinetics is complicated becau...

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Autores: Rahnama, Pourya, Maghbouli, Amin, Bao, Hesheng, Vasavan, Aromal, Somers, Bart, Novella Rosa, Ricardo|||0000-0002-5123-6924
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/205142
Acceso en línea:https://riunet.upv.es/handle/10251/205142
Access Level:acceso abierto
Palabra clave:Flamelet models
Tabulated chemistry models
Computational fluid dynamics
Spray A
Progress variable
Non-premixed flame
MAQUINAS Y MOTORES TERMICOS
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repository_id_str
spelling Generalizing progress variable definition in CFD simulation of combustion systems using tabulated chemistry modelsRahnama, PouryaMaghbouli, AminBao, HeshengVasavan, AromalSomers, BartNovella Rosa, Ricardo|||0000-0002-5123-6924Flamelet modelsTabulated chemistry modelsComputational fluid dynamicsSpray AProgress variableNon-premixed flameMAQUINAS Y MOTORES TERMICOS[EN] In the Computational Fluid Dynamics (CFD) simulation of advanced combustion systems, the chemical kinetics must be examined in detail to predict the emissions and performance characteristics accurately. Nevertheless, the combustion simulation with detailed chemical kinetics is complicated because of the number of equations and a broad timescale spectrum. The Flamelet-Generated Manifold (FGM) is one of the examples of tabulation methods that has received much attention in recent years due to its fast and accurate prediction of combustion characteristics. The Progress Variable (PV) definition in FGM and other PV-based tabulated approaches is often selected randomly or depending on the user's experience. When complicated combustion systems are involved, such choices can become extremely difficult. In the current work, a generic approach for formulating a global PV is developed and tested in various operating conditions relevant to combustion engines. The method is based on a genetic algorithm optimization to maximize the monotonicity of PV, ensuring that for each value of PV, the dependent thermophysical properties have unique values. The FGM model's ability to reproduce the detailed kinetics evolution of the essential combustion and emission parameters of a non-premixed diffusion flame in Spray A configuration is evaluated in both one-dimensional counterflow and CFD simulation. It is concluded that with the use of the current approach, important combustion characteristics can be predicted much better compared to non-optimized PV while eliminating the manual selection of PV definition by the user. Since the algorithm needs to be executed before the chemistry tabulation in the pre-processing step, it does not increase the runtime of the FGM simulation. The algorithm only needs a few minutes to be finished on a standard desktop. The improvement in the results and the distribution of the values of important species in the computational domain is examined.This work was funded by the Netherlands Organisation for Scientific Research (NWO, project number 14927) .Elsevier LtdDepartamento de Máquinas y Motores TérmicosEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialInstituto Universitario de Investigación CMT - Clean Mobility & ThermofluidsNetherlands Organization for Scientific ResearchRepositorio Institucional de la Universitat Politècnica de València Riunet20232023-06-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/205142reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengNetherlands Organization for Scientific Research https://doi.org/10.13039/501100003246 14927open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2051422026-06-13T07:49:27Z
dc.title.none.fl_str_mv Generalizing progress variable definition in CFD simulation of combustion systems using tabulated chemistry models
title Generalizing progress variable definition in CFD simulation of combustion systems using tabulated chemistry models
spellingShingle Generalizing progress variable definition in CFD simulation of combustion systems using tabulated chemistry models
Rahnama, Pourya
Flamelet models
Tabulated chemistry models
Computational fluid dynamics
Spray A
Progress variable
Non-premixed flame
MAQUINAS Y MOTORES TERMICOS
title_short Generalizing progress variable definition in CFD simulation of combustion systems using tabulated chemistry models
title_full Generalizing progress variable definition in CFD simulation of combustion systems using tabulated chemistry models
title_fullStr Generalizing progress variable definition in CFD simulation of combustion systems using tabulated chemistry models
title_full_unstemmed Generalizing progress variable definition in CFD simulation of combustion systems using tabulated chemistry models
title_sort Generalizing progress variable definition in CFD simulation of combustion systems using tabulated chemistry models
dc.creator.none.fl_str_mv Rahnama, Pourya
Maghbouli, Amin
Bao, Hesheng
Vasavan, Aromal
Somers, Bart
Novella Rosa, Ricardo|||0000-0002-5123-6924
author Rahnama, Pourya
author_facet Rahnama, Pourya
Maghbouli, Amin
Bao, Hesheng
Vasavan, Aromal
Somers, Bart
Novella Rosa, Ricardo|||0000-0002-5123-6924
author_role author
author2 Maghbouli, Amin
Bao, Hesheng
Vasavan, Aromal
Somers, Bart
Novella Rosa, Ricardo|||0000-0002-5123-6924
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Máquinas y Motores Térmicos
Escuela Técnica Superior de Ingeniería Aeroespacial y Diseño Industrial
Instituto Universitario de Investigación CMT - Clean Mobility & Thermofluids
Netherlands Organization for Scientific Research
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Flamelet models
Tabulated chemistry models
Computational fluid dynamics
Spray A
Progress variable
Non-premixed flame
MAQUINAS Y MOTORES TERMICOS
topic Flamelet models
Tabulated chemistry models
Computational fluid dynamics
Spray A
Progress variable
Non-premixed flame
MAQUINAS Y MOTORES TERMICOS
description [EN] In the Computational Fluid Dynamics (CFD) simulation of advanced combustion systems, the chemical kinetics must be examined in detail to predict the emissions and performance characteristics accurately. Nevertheless, the combustion simulation with detailed chemical kinetics is complicated because of the number of equations and a broad timescale spectrum. The Flamelet-Generated Manifold (FGM) is one of the examples of tabulation methods that has received much attention in recent years due to its fast and accurate prediction of combustion characteristics. The Progress Variable (PV) definition in FGM and other PV-based tabulated approaches is often selected randomly or depending on the user's experience. When complicated combustion systems are involved, such choices can become extremely difficult. In the current work, a generic approach for formulating a global PV is developed and tested in various operating conditions relevant to combustion engines. The method is based on a genetic algorithm optimization to maximize the monotonicity of PV, ensuring that for each value of PV, the dependent thermophysical properties have unique values. The FGM model's ability to reproduce the detailed kinetics evolution of the essential combustion and emission parameters of a non-premixed diffusion flame in Spray A configuration is evaluated in both one-dimensional counterflow and CFD simulation. It is concluded that with the use of the current approach, important combustion characteristics can be predicted much better compared to non-optimized PV while eliminating the manual selection of PV definition by the user. Since the algorithm needs to be executed before the chemistry tabulation in the pre-processing step, it does not increase the runtime of the FGM simulation. The algorithm only needs a few minutes to be finished on a standard desktop. The improvement in the results and the distribution of the values of important species in the computational domain is examined.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-06-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/205142
url https://riunet.upv.es/handle/10251/205142
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Netherlands Organization for Scientific Research https://doi.org/10.13039/501100003246 14927
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier Ltd
publisher.none.fl_str_mv Elsevier Ltd
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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