This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
A Simulation Study on Particle Motion in Diesel Particulate Filter Based on Microcosmic Channel Model
Technical Paper
2018-01-0964
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
As the prime after-treatment device for diesel particulate matter (PM) emission control, Diesel Particulate Filter (DPF) has been widely used for its high particle capture efficiency. In order to study the particle motion and deposition distributions in the DPF inlet channel, a 2-D wall flow DPF microcosmic channel model is built in this paper. The motion trajectories of particles with different sizes are investigated considering the drag force, Brownian motion, gravity and Saffman lift. The effects of the space velocity on particle motion trajectories and deposition distributions inside the inlet channel are evaluated. These results demonstrate that the particle motion trajectories are highly dependent on particle sizes and influenced by the space velocity. The effect of the Brownian motion is obvious for fine particles and suppressed when the space velocity is raised. Moreover, various patterns of particle deposition distributions at the wall surface along the inlet channel are obtained under different particle sizes. The uniformity of particle deposition distributions is closely related to the particle size. With the increase of the particle size, more particles deposit at the rear-part of the inlet channel. Finally, in order to estimate the uniformity magnitude of particle deposition distributions, a uniformity index is proposed and discussed in this paper.
Recommended Content
Authors
Citation
Wu, Y., Li, Z., shen, B., Kong, X. et al., "A Simulation Study on Particle Motion in Diesel Particulate Filter Based on Microcosmic Channel Model," SAE Technical Paper 2018-01-0964, 2018, https://doi.org/10.4271/2018-01-0964.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 |
Also In
References
- Fayyazbakhsh , A. and Pirouzfar , V. Investigating the Influence of Additives-Fuel on Diesel Engine Performance and Emissions: Analytical Modeling and Experimental Validation Fuel 171 10 167 177 2016 10.1016/j.fuel.2015.12.028
- Pope , C.A. III , Burnett , R.T. , Thurston , G.D. , Thun , M.G. et al. Cardiovascular Mortality and Long-Term Exposure to Particulate Air Pollution: Epidemiological Evidence of General Pathophysiological Pathways of Disease Circulation 109 71 77 2004
- Basu , S. , Henrichsen , M. , Tando , P. , He , S. et al. Filtration Efficiency and Pressure Drop Performance of Ceramic Partial Wall Flow Diesel Particulate Filters SAE Int. J. Fuels Lubr. 6 3 877 893 2013 10.4271/2013-01-9072
- Bissett , E. Mathematical Model of the Thermal Regeneration of a Wall-Flow Monolith Diesel Particulate Filter Chemical Engineering Science 39 7-8 1233 1244 1984 10.1016/0009-2509(84)85084-8
- Konstandopoulos , A.G. , Kostoglou , M. , Skaperdas , E. , Papaioannou , E. et al. Fundamental Studies of Diesel Particulate Filters: Transient Loading, Regeneration and Aging SAE Technical Paper 2000-01-101625 2000 10.4271/2000-01-1016
- Konstandopoulos , A.G. , Kostoglou , M. , Vlachos , N. , and Kladopoulo , E. Progress in Diesel Particulate Filter Simulation SAE Technical Paper 2015-01-094631 2005 10.4271/2005-01-0946
- Serrano , J.R. , Climent , H. , Piqueras , P. , and Angiolini , E. Filtration Modelling in Wall-Flow Particulate Filters of Low Soot Penetration Thickness Energy 112 883 898 2016 10.1016/j.energy.2016.06.121
- Gong , J. and Rutland , C. PDF-Based Heterogeneous Multiscale Filtration Model Environmental Science & Technology 49 8 4963 4970 2015 10.1021/acs.est.5b00329
- Gong , J. , Viswanathan , S. , Rothamer , D. , Foster , D. et al. Dynamic Heterogeneous Multiscale Filtration Model: Probing Micro- and Macroscopic Filtration Characteristics of Gasoline Particulate Filters Environmental Science & Technology 51 19 11196 11204 2017 10.1021/acs.est.7b02535
- Piscaglia , F. , Rutland , C.J. , and Foster , D. Development of a CFD Model to Study the Hydrodynamic Characteristics and the Soot Deposition Mechanism on the Porous Wall of a Diesel Particulate Filter 2005 10.4271/2005-01-0963
- Bensaid , S. , Marchisio , D.L. , Fino , D. , Saracco , G. et al. Modelling of Diesel Particulate Filtration in Wall-Flow Traps Chemical Engineering Journal 154 211 218 2009 10.1016/j.cej.2009.03.043
- Huynh , C. , Johnson , J. , Yang , S. , Bagley , S. et al. A One-Dimensional Computational Model for Studying the Filtration and Regeneration Characteristics of a Catalyzed Wall-Flow Diesel Particulate Filter 2003 10.4271/2003-01-0841
- Fan , F.G. and Ahmadi , G. Wall Deposition of Small Ellipsoids from Turbulent Air Flows--A Brownian Dynamics Simulation Journal of Aerosol Science 31 1205 1229 2000 10.1016/S0021-8502(00)00018-5
- Liu , Y.Q. , Gong , J.K. , Fu , J. , Cai , H. et al. Nanoparticle Motion Trajectories and Deposition in an Inlet Channel of Wall-Flow Diesel Particulate Filter Journal of Aerosol Science 40 307 323 2009 10.1016/j.jaerosci.2008.12.001
- Zhang , X.G. , Tennison , P. , and Ruona , W. 3D Numerical Study of Pressure Loss Characteristics and Filtration Efficiency Through a Frontal Unplugged DPF SAE Int. J. Fuels Lubr. 3 1 177 193 2010 10.4271/2010-01-0538
- Celik , I.B. , Ghia , U. , Roache , P.J. , and Freitas , C.J. Procedure for Estimation and Reporting of Uncertainty Due to Discretization in CFD Applications Journal of Fluids Engineering 130 7 078001 2008
- Ounis , H. , Ahmadi , G. , and McLaughin , J.B. Brownian Diffusion of Submicrometer Particles in the Viscous Sublayer Journal of Colloid and Interface Science 143 1 66 277 1991
- Ahmadi , G. and Chen , Q. Dispersion and Deposition of Particles in a Turbulent Pipe Flow with Sudden Expansion Journal of Aerosol Science 29 1097 1116 1998 10.1016/S0021-8502(98)80006-2