Loading…

Modelling gas flow pressure gradients in Gelcast ceramic foam diesel particulate filters

New mathematical models are proposed that predict fluid flow pressure gradients in gelcast ceramic foam diesel exhaust particulate filters by considering the foam structure conceptually as serially connected orifices. The resulting multiple orifice mathematical (MOM) model is based on the sum of a v...

Full description

Saved in:
Bibliographic Details
Main Authors: Emmanuel M. Adigio, J.G.P. Binner, Colin Garner, Richard J.M. Hague, Andrew Williams
Format: Default Article
Published: 2008
Subjects:
Online Access:https://hdl.handle.net/2134/4426
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1818175242163453952
author Emmanuel M. Adigio
J.G.P. Binner
Colin Garner
Richard J.M. Hague
Andrew Williams
author_facet Emmanuel M. Adigio
J.G.P. Binner
Colin Garner
Richard J.M. Hague
Andrew Williams
author_sort Emmanuel M. Adigio (7125896)
collection Figshare
description New mathematical models are proposed that predict fluid flow pressure gradients in gelcast ceramic foam diesel exhaust particulate filters by considering the foam structure conceptually as serially connected orifices. The resulting multiple orifice mathematical (MOM) model is based on the sum of a viscous term derived from an extended Ergun model and the kinetic energy loss derived from the Bernoulli and conservation of mass equations. The MOM model was calibrated using experimental data obtained from measuring the air flowrate and pressure drop across a physical large-scale three-dimensional model of a cellular foam structure produced using rapid manufacturing techniques. The calibrated model was then validated using fluid flow data obtained from gelcast ceramic foam filters of various cell sizes and was found to require no empirical recalibration for each gelcast ceramic foam sample. The MOM model for clean filters was extended to predict pressure gradients of filters loaded with particulate matter (PM). The prediction of pressure gradients through gelcast ceramic filters using the MOM model for clean and PM-loaded cases was shown to be in reasonable agreement with experimental data. The models were finally applied to design a filter for a turbocharged, charge-cooled, 2.0 l, fourstroke, common rail, direct injection passenger car diesel engine.
format Default
Article
id rr-article-9234746
institution Loughborough University
publishDate 2008
record_format Figshare
spelling rr-article-92347462008-01-01T00:00:00Z Modelling gas flow pressure gradients in Gelcast ceramic foam diesel particulate filters Emmanuel M. Adigio (7125896) J.G.P. Binner (7121612) Colin Garner (1247325) Richard J.M. Hague (7125899) Andrew Williams (1250040) Mechanical engineering not elsewhere classified Fluid flow Diesel Engine Particulate Filter Pressure Exhaust Model Aftertreatment Emissions Ceramic foam Mechanical Engineering not elsewhere classified Mechanical Engineering New mathematical models are proposed that predict fluid flow pressure gradients in gelcast ceramic foam diesel exhaust particulate filters by considering the foam structure conceptually as serially connected orifices. The resulting multiple orifice mathematical (MOM) model is based on the sum of a viscous term derived from an extended Ergun model and the kinetic energy loss derived from the Bernoulli and conservation of mass equations. The MOM model was calibrated using experimental data obtained from measuring the air flowrate and pressure drop across a physical large-scale three-dimensional model of a cellular foam structure produced using rapid manufacturing techniques. The calibrated model was then validated using fluid flow data obtained from gelcast ceramic foam filters of various cell sizes and was found to require no empirical recalibration for each gelcast ceramic foam sample. The MOM model for clean filters was extended to predict pressure gradients of filters loaded with particulate matter (PM). The prediction of pressure gradients through gelcast ceramic filters using the MOM model for clean and PM-loaded cases was shown to be in reasonable agreement with experimental data. The models were finally applied to design a filter for a turbocharged, charge-cooled, 2.0 l, fourstroke, common rail, direct injection passenger car diesel engine. 2008-01-01T00:00:00Z Text Journal contribution 2134/4426 https://figshare.com/articles/journal_contribution/Modelling_gas_flow_pressure_gradients_in_Gelcast_ceramic_foam_diesel_particulate_filters/9234746 CC BY-NC-ND 4.0
spellingShingle Mechanical engineering not elsewhere classified
Fluid flow
Diesel
Engine
Particulate
Filter
Pressure
Exhaust
Model
Aftertreatment
Emissions
Ceramic foam
Mechanical Engineering not elsewhere classified
Mechanical Engineering
Emmanuel M. Adigio
J.G.P. Binner
Colin Garner
Richard J.M. Hague
Andrew Williams
Modelling gas flow pressure gradients in Gelcast ceramic foam diesel particulate filters
title Modelling gas flow pressure gradients in Gelcast ceramic foam diesel particulate filters
title_full Modelling gas flow pressure gradients in Gelcast ceramic foam diesel particulate filters
title_fullStr Modelling gas flow pressure gradients in Gelcast ceramic foam diesel particulate filters
title_full_unstemmed Modelling gas flow pressure gradients in Gelcast ceramic foam diesel particulate filters
title_short Modelling gas flow pressure gradients in Gelcast ceramic foam diesel particulate filters
title_sort modelling gas flow pressure gradients in gelcast ceramic foam diesel particulate filters
topic Mechanical engineering not elsewhere classified
Fluid flow
Diesel
Engine
Particulate
Filter
Pressure
Exhaust
Model
Aftertreatment
Emissions
Ceramic foam
Mechanical Engineering not elsewhere classified
Mechanical Engineering
url https://hdl.handle.net/2134/4426