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Optimization of spray break-up CFD simulations by combining Sigma-Y Eulerian atomization model with a response surface methodology under diesel engine-like conditions (ECN Spray A)

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Optimization of spray break-up CFD simulations by combining Sigma-Y Eulerian atomization model with a response surface methodology under diesel engine-like conditions (ECN Spray A)

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dc.contributor.author Pandal-Blanco, Adrián es_ES
dc.contributor.author Payri, Raul es_ES
dc.contributor.author García-Oliver, José M es_ES
dc.contributor.author Pastor Enguídanos, José Manuel es_ES
dc.date.accessioned 2018-06-07T04:30:27Z
dc.date.available 2018-06-07T04:30:27Z
dc.date.issued 2017 es_ES
dc.identifier.issn 0045-7930 es_ES
dc.identifier.uri http://hdl.handle.net/10251/103507
dc.description.abstract [EN] This work evaluates the performance of the Sigma-Y Eulerian atomization model at reproducing the internal structure of a diesel spray with a special focus on Sauter Mean Diameter (SMD) predictions. Modeling results have been compared to x-ray radiography measurements [21,24,38] which provided unique data within dense spray region. The first step corresponds to accurately reproduce the large scale spray dispersion. Among different RANS turbulence models, the standard k-s with the round jet corrected CIE value (1.60), has shown the best performance, as shown in [12]. Then, the study is devoted to the application and optimization of the predicted interphase surface density (E). In this work, a combination of CFD modeling and the statistical Design of Experiments (DOE) technique known as Response Surface Method (RSM) is applied in order to improve Sauter Mean Diameter (SMD) predictions from E equation compared to experimental measurements. In the investigation, two different optimizations are conducted for the three modeling parameters involved in the equation, following a Central Composite Design (CCD), leading to 15 simulations for each one. After that, both optimum sets of values are validated to assure the accuracy of the method and it is decided the best choice. Finally, different injection and ambient conditions are simulated, with those selected values, providing a remarkable improvement in the modeling performance. es_ES
dc.description.sponsorship Authors acknowledge that part of this work was possible thanks to the Programa de Ayudas de Investigacion y Desarrollo (PAID 2013 3198) of the Universitat Politecnica de Valencia. Also this study was partially funded by the Spanish Ministry of Economy and Competitiveness in the frame of the COMEFF (TRA2014-59483R) project. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation MINECO/TRA2014-59483-R-AR es_ES
dc.relation.ispartof Computers & Fluids es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Eulerian es_ES
dc.subject Diesel spray es_ES
dc.subject Near-field es_ES
dc.subject SMD es_ES
dc.subject CFD es_ES
dc.subject Response Surface Method es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title Optimization of spray break-up CFD simulations by combining Sigma-Y Eulerian atomization model with a response surface methodology under diesel engine-like conditions (ECN Spray A) es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.compfluid.2017.06.022 es_ES
dc.rights.accessRights Abierto es_ES
dc.date.embargoEndDate 2019-10-12 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Máquinas y Motores Térmicos - Departament de Màquines i Motors Tèrmics es_ES
dc.description.bibliographicCitation Pandal-Blanco, A.; Payri, R.; García-Oliver, JM.; Pastor Enguídanos, JM. (2017). Optimization of spray break-up CFD simulations by combining Sigma-Y Eulerian atomization model with a response surface methodology under diesel engine-like conditions (ECN Spray A). Computers & Fluids. 156:9-20. doi:10.1016/j.compfluid.2017.06.022 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.compfluid.2017.06.022 es_ES
dc.description.upvformatpinicio 9 es_ES
dc.description.upvformatpfin 20 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 156 es_ES
dc.relation.pasarela S\350651 es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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