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Correlations for the ignition characteristics of six different fuels and their application to predict ignition delays under transient thermodynami conditions

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Correlations for the ignition characteristics of six different fuels and their application to predict ignition delays under transient thermodynami conditions

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dc.contributor.author Desantes, J.M. es_ES
dc.contributor.author Bermúdez, Vicente es_ES
dc.contributor.author López, J. Javier es_ES
dc.contributor.author López-Pintor, Darío es_ES
dc.date.accessioned 2018-06-14T04:31:47Z
dc.date.available 2018-06-14T04:31:47Z
dc.date.issued 2017 es_ES
dc.identifier.issn 0196-8904 es_ES
dc.identifier.uri http://hdl.handle.net/10251/104012
dc.description.abstract [EN] The ignition characteristics of six different fuels have been correlated as a function of the temperature, pressure, equivalence ratio and oxygen molar fraction in this investigation. More specifically, the ignition delay referred to cool flames, the high-temperature ignition delay and the critical concentrations and ignition times of HO2 and CH2O have been parameterized for n-dodecane, PRFO, PRF25, PRF50, PRF75 and PRF100. To do so, a wide database of ignition data of the aforementioned fuels has been generated by means of chemical simulations in CHEMKIN, solving a detailed mechanism for PRF mixtures and a reduced mechanism for n-dodecane. In fact, in cylinder engine-like conditions reached in a Rapid Compression Expansion Machine (RCEM) have been replicated. The mathematical correlations have shown a relative deviation around 20% with the database in the low-temperature, low-pressure zone, which is the typical accuracy of usual correlations for the ignition delay. Finally, the ignition delay under transient conditions measured in the RCEM has been predicted by means of different integral methods coupled to both the proposed correlations and the generated database. It has been found that deviations between the predictions obtained with the correlations or with the database are lower than 1%. This means that the correlations are accurate enough to predict the ignition time in spite of showing high deviation with the database, since the low-temperature, low-pressure zone has a minor contribution to the ignition delay. es_ES
dc.description.sponsorship The authors would like to thank different members of the CMT-Motores Termicos team of the Universitat Politecnica de Valencia for their contribution to this work. The authors would also like to thank the Spanish Ministry of Education for financing the PhD. Studies of Dario Lopez-Pintor (grant FPU13/02329). This research has been partially funded by FEDER and the Spanish Government through project TRA2015-67136-R.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Energy Conversion and Management es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Autoignition es_ES
dc.subject Ignition correlations es_ES
dc.subject Ignition delay es_ES
dc.subject Critical concentration es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title Correlations for the ignition characteristics of six different fuels and their application to predict ignition delays under transient thermodynami conditions es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.enconman.2017.09.030 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TRA2015-67136-R/ES/NUEVOS CONCEPTOS DE COMBUSTION PARA REDUCCION DE CONSUMO, CO2 Y EMISIONES CONTAMINANTES EN MOTORES DE GASOLINA PARA AUTOMOCION/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//FPU13%2F02329/ES/FPU13%2F02329/ es_ES
dc.rights.accessRights Abierto 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 Desantes, J.; Bermúdez, V.; López, JJ.; López-Pintor, D. (2017). Correlations for the ignition characteristics of six different fuels and their application to predict ignition delays under transient thermodynami conditions. Energy Conversion and Management. 152:124-135. https://doi.org/10.1016/j.enconman.2017.09.030 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.enconman.2017.09.030 es_ES
dc.description.upvformatpinicio 124 es_ES
dc.description.upvformatpfin 135 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 152 es_ES
dc.relation.pasarela S\343161 es_ES
dc.contributor.funder Ministerio de Educación es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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