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Effects of isotropic and anisotropic turbulent structures over spray atomization in the near field

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Effects of isotropic and anisotropic turbulent structures over spray atomization in the near field

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dc.contributor.author Crialesi-Esposito, Marco es_ES
dc.contributor.author González-Montero, Lucas Antonio es_ES
dc.contributor.author Salvador, Francisco Javier es_ES
dc.date.accessioned 2023-10-03T18:01:46Z
dc.date.available 2023-10-03T18:01:46Z
dc.date.issued 2022-05 es_ES
dc.identifier.issn 0301-9322 es_ES
dc.identifier.uri http://hdl.handle.net/10251/197516
dc.description.abstract [EN] Sprays and atomization processes are extremely diffused both in nature and in industrial applications. In this paper we analyze the influence of the nozzle turbulence on primary atomization, focusing on the resulting turbulent field and atomization patterns in the Near Field (NF). In order to do so, a Synthetic Boundary Condition (SBC) and a Mapped Boundary Condition (MBC), producing respectively isotropic and anisotropic turbulent fields, have been generated as inflow conditions for the spray Direct Numerical Simulations (DNS). We present a specific methodology to ensure consistency on turbulence intensity and integral lengthscale between the two inflows. The analysis performed on the turbulent field (using one-point statistics and spectrum analysis) reveals a significantly stronger turbulent field generated by the inflow boundary conditions with anisotropic structures. While the increased turbulence field generated in the MBC case results in a higher number of droplets generated, the probability functions of both cases are extremely similar, leading to the non-obvious conclusion that the atomization patterns are only slightly affected by the inflow condition. These considerations are supported by the analysis of droplet size distributions, radial distribution functions, axial and radial distributions, highlighting extremely similar behaviors between the MBC and the SBC cases. Finally, these analyses and their computations are presented in detail, underlining how this type of point-process characterization shows interesting potential in future studies on sprays. es_ES
dc.description.sponsorship This research has been partially funded by Spanish Ministerio de Economia y Competitividad through project RTI2018-099706-B-100, "Estudio de la atomizacion primaria mediante simulaciones DNS.. tecnicas opticas de muy alta resolucion''. Additionally, the authors thankfully acknowledge the computer resources at MareNostrum 4 (Barcelona Supercomputing Center) and their technical support provided by FI-2017-2-0035 and TITAN (Oak Ridge Leadership Computing Facility) in the frame of the project TUR124. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof International Journal of Multiphase Flow es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Spray es_ES
dc.subject Turbulence es_ES
dc.subject Primary atomization es_ES
dc.subject Inflow boundary conditions es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title Effects of isotropic and anisotropic turbulent structures over spray atomization in the near field es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ijmultiphaseflow.2021.103891 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099706-B-I00/ES/ESTUDIO DE LA ATOMIZACION PRIMARIA MEDIANTE SIMULACIONES DNS Y TECNICAS OPTICAS DE MUY ALTA RESOLUCION/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Crialesi-Esposito, M.; González-Montero, LA.; Salvador, FJ. (2022). Effects of isotropic and anisotropic turbulent structures over spray atomization in the near field. International Journal of Multiphase Flow. 150:1-19. https://doi.org/10.1016/j.ijmultiphaseflow.2021.103891 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.ijmultiphaseflow.2021.103891 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 19 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 150 es_ES
dc.relation.pasarela S\456353 es_ES
dc.contributor.funder Oak Ridge National Laboratory es_ES
dc.contributor.funder Barcelona Supercomputing Center es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES


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