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LES of a pressurized sooting aero-engine model burner using a computationally efficient discrete sectional method coupled to tabulated

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LES of a pressurized sooting aero-engine model burner using a computationally efficient discrete sectional method coupled to tabulated

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dc.contributor.author García-Oliver, José M es_ES
dc.contributor.author Pastor Enguídanos, José Manuel es_ES
dc.contributor.author Olmeda-Ramiro, Iván es_ES
dc.contributor.author Kalbhor, A. es_ES
dc.contributor.author Mira Martínez, Daniel es_ES
dc.contributor.author Van-Oijen, Jeroen es_ES
dc.date.accessioned 2024-03-07T19:02:20Z
dc.date.available 2024-03-07T19:02:20Z
dc.date.issued 2024-02 es_ES
dc.identifier.issn 0010-2180 es_ES
dc.identifier.uri http://hdl.handle.net/10251/202967
dc.description.abstract [EN] This work is focused on the modeling and analysis of soot formation and oxidation in the pressurized ethylene-based model burner investigated at DLR. This burner features a dual swirler configuration for the primary air supply and includes secondary dilution jets inside the combustion chamber, showing reacting flow characteristics representative of the RQL combustor technology. Large-eddy simulations (LES) of the DLR burner are conduced here to assess a coupling approach between flamelet generated manifold (FGM) chemistry and discrete sectional method (DSM) based soot model with clustering method. First, a validation of the numerical results is conducted for the gas velocity and temperature fields, and good agreement is obtained for both mean and fluctuating quantities. The Soot Volume Fraction (SVF) computed from LES shows a satisfactory agreement with the experimental data in both SVF distribution and magnitude. The analysis also includes a numerical investigation of the soot production and the Particle Size Distributions (PSD). Finally, the configuration without secondary air is evaluated and an accurate prediction of the SVF field is also obtained. In this case, the absence of dilution air strongly influences the central region of the combustion chamber, and soot distribution and PSD are mainly affected by transport and dilution, not oxidation. It is finally concluded the proposed modeling framework is capable of predicting the soot field and particle size distributions inside the combustor for both operating conditions. es_ES
dc.description.sponsorship The research leading to these results has received funding from the European Union's Horizon 2020 Programme under the ESTiMatE project, grant agreement No. 821418, and the AHEAD PID2020-118387RB-C33 and SAFLOW TED2021-131618B-C21 and TED2021-131618B-C22 projects from the Ministerio de Ciencia e Innovacion, Spain. We acknowledge PRACE for awarding us access through the SootAero project to HAWK at GCS@HLRS, Germany. The authors thankfully acknowledge the computer resources at LaPalma and MareNos-trum, and the technical support provided by Instituto de Astrofisica de Canarias (IM-2021-2-0027) and Barcelona Supercomputing Center (IM-2021-3-0016) . I. Olmeda acknowledges the Ayuda de Formacion de Profesorado Universitario (FPU 18/03065) from the Subprograma de Estatal de Formacion del Ministerio de Ciencia, Innovacion y Universidades of Spain. DM acknowledges the grant Ayudas para contratos Ramon y Cajal (RYC) 2021: RYC2021-034654-I from Ministerio de Ciencia e Innovacion. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Combustion and Flame es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Soot, Large-eddy simulation es_ES
dc.subject Discrete sectional method es_ES
dc.subject Particle size distribution es_ES
dc.subject Flamelet generated manifold es_ES
dc.subject Gas turbine combustor es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title LES of a pressurized sooting aero-engine model burner using a computationally efficient discrete sectional method coupled to tabulated es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.combustflame.2023.113198 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118387RB-C31/ES/INSTALACION EXPERIMENTAL PARA LA SOSTENIBILIDAD DEL AEROMOTOR EN AHEAD/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/821418/EU/Emissions SooT ModEl/ESTiMatE es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//TED2021-131618A-C22//MODELADO DE COMBUSTIBLE SOSTENIBLE DE AVIACION PARA BAJAS EMISIONES. ATOMIZACION/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ //FPU18%2F03065//AYUDA PREDOCTORAL FPU-OLMEDA RAMIRO. PROYECTO: ASSESSMENT OF DETAILED COMBUSTION AND SOOT MODELS FOR ADVANCED GAS TURBINE BURNERS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Gobierno de Canarias//IM-2021-2-0027/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TED2021-131618B-C22/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//RYC2021-034654-I/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/BSC//IM-2021-3-0016/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario CMT-Motores Térmicos - Institut Universitari CMT-Motors Tèrmics es_ES
dc.description.bibliographicCitation García-Oliver, JM.; Pastor Enguídanos, JM.; Olmeda-Ramiro, I.; Kalbhor, A.; Mira Martínez, D.; Van-Oijen, J. (2024). LES of a pressurized sooting aero-engine model burner using a computationally efficient discrete sectional method coupled to tabulated. Combustion and Flame. 260. https://doi.org/10.1016/j.combustflame.2023.113198 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.combustflame.2023.113198 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 260 es_ES
dc.relation.pasarela S\510288 es_ES
dc.contributor.funder Gobierno de Canarias es_ES
dc.contributor.funder CLEAN SKY JOINT UNDERTAKING es_ES
dc.contributor.funder Barcelona Supercomputing Center es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder MINISTERIO DE CIENCIA E INNOVACION es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Partnership for Advanced Computing in Europe AISBL es_ES


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