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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...
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2008
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Online Access: | https://hdl.handle.net/2134/4426 |
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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 |