- -

Packed bed of spherical particles approach for pressure drop prediction in wall-flow DPFs (diesel particulate filters) under soot loading conditions

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Packed bed of spherical particles approach for pressure drop prediction in wall-flow DPFs (diesel particulate filters) under soot loading conditions

Show simple item record

Files in this item

dc.contributor.author Serrano Cruz, José Ramón es_ES
dc.contributor.author Arnau Martínez, Francisco José es_ES
dc.contributor.author Piqueras Cabrera, Pedro es_ES
dc.contributor.author García Afonso, Óscar es_ES
dc.date.accessioned 2014-09-29T10:32:23Z
dc.date.available 2014-09-29T10:32:23Z
dc.date.issued 2013-09
dc.identifier.issn 0360-5442
dc.identifier.uri http://hdl.handle.net/10251/40396
dc.description.abstract The soot loading process in wall-flow DPFs (diesel particulate filters) affects the substrate structure depending on the filtration regime and produces the increase of pressure drop. Deep bed filtration regime produces the decrease of the porous wall permeability because of the soot particulates deposition inside it. Additionally, a layer of soot particulates grows on the porous wall surface when it becomes saturated. As soot loading increases, the pressure drop across the DPF depends on the porous wall and particulate layer permeabilities, which are in turn function of the substrate and soot properties. The need to consider the DPF pressure drop influence on engine performance analysis or DPF regeneration processes requires the use of low-computational effort models describing the structure of the soot deposition and its effect on permeability. This paper presents a model to describe the micro-scale of the porous wall and the particulate layer structure assuming them as packed beds of spherical particles. To assess the model s capability, it is applied to predict the DPF pressure drop under different experimental conditions in soot loading, mass flow and gas temperature. es_ES
dc.description.sponsorship This work has been partially supported by the Vicerrectorado de Investigacion de la Universitat Politecnica de Valencia through grant number SP20120340-UPPTE/2012/96 and by the Conselleria de Educacio, Cultura i Esport de la Generalitat Valenciana through grant number GV/2013/043. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation Vicerrectorado de Investigacion de la Universitat Politecnica de Valencia SP20120340-UPPTE/2012/96 es_ES
dc.relation Conselleria de Educacio, Cultura i Esport de la Generalitat Valenciana GV/2013/043 es_ES
dc.relation.ispartof Energy es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Diesel engines es_ES
dc.subject Aftertreatment es_ES
dc.subject Diesel particulate filter es_ES
dc.subject Soot loading es_ES
dc.subject Micro-scale properties es_ES
dc.subject.classification INGENIERIA AEROESPACIAL es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title Packed bed of spherical particles approach for pressure drop prediction in wall-flow DPFs (diesel particulate filters) under soot loading conditions es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.energy.2013.05.051
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 Serrano Cruz, JR.; Arnau Martínez, FJ.; Piqueras Cabrera, P.; Garcia Afonso, O. (2013). Packed bed of spherical particles approach for pressure drop prediction in wall-flow DPFs (diesel particulate filters) under soot loading conditions. Energy. 58:644-654. doi:10.1016/j.energy.2013.05.051 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.energy.2013.05.051 es_ES
dc.description.upvformatpinicio 644 es_ES
dc.description.upvformatpfin 654 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 58 es_ES
dc.relation.senia 251862


This item appears in the following Collection(s)

Show simple item record