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Computational assessment towards understanding the energy conversion and combustion process of lean mixtures in passive pre-chamber ignited engines

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Computational assessment towards understanding the energy conversion and combustion process of lean mixtures in passive pre-chamber ignited engines

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Benajes, J.; Novella Rosa, R.; Gómez-Soriano, J.; Barbery-Avila, II.; Libert, C.; Rampanarivo, F.; Dabiri, M. (2020). Computational assessment towards understanding the energy conversion and combustion process of lean mixtures in passive pre-chamber ignited engines. Applied Thermal Engineering. 178:1-17. https://doi.org/10.1016/j.applthermaleng.2020.115501

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Title: Computational assessment towards understanding the energy conversion and combustion process of lean mixtures in passive pre-chamber ignited engines
Author: Benajes, Jesús Novella Rosa, Ricardo Gómez-Soriano, Josep Barbery-Avila, Ibrahim Ignacio Libert, C. Rampanarivo, F. Dabiri, M.
UPV Unit: Universitat Politècnica de València. Departamento de Máquinas y Motores Térmicos - Departament de Màquines i Motors Tèrmics
Issued date:
Abstract:
[EN] In this paper, a computational study was performed using a combination of several numerical tools to better understand the limiting aspects of combustion in a passive pre-chamber ignition system when operating at lean ...[+]
Subjects: Spark-ignition engines , Passive pre-chamber , Ultra-lean combustion , Pre-chamber scavenge , CFD combustion modelling , Energy conversion
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Applied Thermal Engineering. (issn: 1359-4311 )
DOI: 10.1016/j.applthermaleng.2020.115501
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.applthermaleng.2020.115501
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TRA2017-89139-C2-1-R/ES/DESARROLLO DE MODELOS DE COMBUSTION Y EMISIONES HPC PARA EL ANALISIS DE PLANTAS PROPULSIVAS DE TRANSPORTE SOSTENIBLES/
info:eu-repo/grantAgreement/UPV//FPI-S2-2018-17367/
Thanks:
The work has been partially supported by the Spanish Ministerio de Economia y Competitividad through Grant No. TRA2017-89139-C2-1-R. J. Gomez-Soriano is partially supported through the Programa de Apoyo para la Investigacion ...[+]
Type: Artículo

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