Computational study on the influence of nozzle eccentricity in spray formation by means of Eulerian Sigma-Y coupled simulations in diesel injection nozzles

Autor: Francisco Javier Salvador, José Manuel Pastor Enguídanos, Enrique Carlos Martínez-Miracle-Muñoz, Joaquin De La Morena
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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ISSN: 2017-8913
DOI: 10.1016/j.ijmultiphaseflow.2020.103338
Popis: [EN] The present work analyses the effect of the eccentricity of diesel nozzle orifices over the spray behaviour by means of CFD simulations. Several orifice geometries with varying horizontal eccentricity (from 0.50 to 0.94) are selected. Their performance is assessed at a high injection pressure of 200 MPa, a 3 MPa back-pressure and non-evaporative conditions. The nozzle flow characteristics, including cavitation modelled by a Homogeneous Relaxation Model (HRM), are accounted for in the spray performance by means of a Sigma - Y model. The code is validated via two reference nozzles, the so called "Spray A" of the Engine Combustion Network plus a second nozzle from a production injector, and then extended to the eccentric geometries. The results and discussions include spray angle and penetration, air entrainment and flow parameters of the nozzle inner conditions versus the eccentricity value.
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Ministerio de Ciencia, Innovacion y Universidades of the Spanish Government. The PhD studies by Enrique C. Martinez-Miracle have been funded by Agencia Estatal de Investigacion of the Spanish Government and the ESF (European Social Fund), project "Desarrollo de modelos de combustion y emisiones HPC para el analisis de plantas propulsivas de transporte sostenibles"(TRA2017-89139-C2-1-R) bymeans of the "Subprograma Estatal de Formacion del Programa Estatal de Promocion del Talento y su Empleabilidad en I+D+i".
Databáze: OpenAIRE