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Transient nozzle flow simulations of gasoline direct fuel injectors

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Transient nozzle flow simulations of gasoline direct fuel injectors

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dc.contributor.author Shahangian, Navid es_ES
dc.contributor.author Sharifian, Leila es_ES
dc.contributor.author Uehara, Kazuhiro es_ES
dc.contributor.author Noguchi, Yasushi es_ES
dc.contributor.author Martínez-García, María es_ES
dc.contributor.author Marti-Aldaravi, Pedro es_ES
dc.contributor.author Payri, Raul es_ES
dc.date.accessioned 2021-05-21T03:32:13Z
dc.date.available 2021-05-21T03:32:13Z
dc.date.issued 2020-07-05 es_ES
dc.identifier.issn 1359-4311 es_ES
dc.identifier.uri http://hdl.handle.net/10251/166593
dc.description.abstract [EN] In the field of Internal Combustion Engines (ICE) the usage of Gasoline Direct fuel injectors (GDi) with gasoline, iso-octane, ethanol (or other alternative fuels) has gained relevance in the past years with the goal of reducing fuel consumption and thus emissions. In this type of direct injections, the injector plays a major role in defining the air-fuel mixture quality. Nevertheless, the study of the phenomena inside the nozzle becomes a challenge due to its reduced size, high flow velocities and multiphase flow nature. Computational Fluid Dynamics (CFD) tools allow gaining valuable insight and understanding into such complex flow physics. Therefore, the objective of this work is the development of a predictive methodology for simulating two GDi nozzles. Unsteady Reynolds-Averaged Navier Stokes (URANS) is chosen for modeling the turbulence. The Homogeneous Relaxation Model (HRM) is used to investigate the possible phase change of the fuel through cavitation or flash boiling. Different injection conditions are simulated and results are compared against experimental data of mass flow and momentum rate for validation. CFD is able to accurately predict steady state values, but transients are very dependent on the initial and boundary conditions imposed on the model. A methodology for their definition is proposed and tested, and with it the accuracy in the prediction of the opening transient is improved. es_ES
dc.description.sponsorship Authors would like to acknowledge Toyota Motor Corporation (TMC) for providing the funds for this project. Authors would like to thank the "Fundacion del Centro de Supercomputacion de Castilla y Leon" (FCSCL) and "ACT now HPC Cloud Cluster" for allowing the use of their clusters to perform part of the simulations carried out in this work. Additionally, the Ph.D. student Maria Martinez has been funded by a grant from the Government of Generalitat Valenciana with reference ACIF/2018/118. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation GENERALITAT VALENCIANA/ACIF/2018/118 es_ES
dc.relation.ispartof Applied Thermal Engineering es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject GDi es_ES
dc.subject CFD es_ES
dc.subject Nozzle flow es_ES
dc.subject Transient es_ES
dc.subject Predictive model es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.subject.classification INGENIERIA AEROESPACIAL es_ES
dc.title Transient nozzle flow simulations of gasoline direct fuel injectors es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.applthermaleng.2020.115356 es_ES
dc.rights.accessRights Embargado es_ES
dc.date.embargoEndDate 2022-04-28 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 Shahangian, N.; Sharifian, L.; Uehara, K.; Noguchi, Y.; Martínez-García, M.; Marti-Aldaravi, P.; Payri, R. (2020). Transient nozzle flow simulations of gasoline direct fuel injectors. Applied Thermal Engineering. 175:1-12. https://doi.org/10.1016/j.applthermaleng.2020.115356 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.applthermaleng.2020.115356 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 175 es_ES
dc.relation.pasarela S\410990 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Toyota Motor Europe es_ES
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