This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Finite Element Analysis of Soot Load Detection Capability via Electrical Capacitance Tomography in a Diesel Particulate Filter
Technical Paper
2018-01-0648
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
In this paper, feasibility study was completed to prove the ability of detecting soot load amount in diesel particulate filter using electromagnetic finite element model. It is critical to accurately measure the soot load in a Diesel Particulate Filter (DPF) in order to optimize the active regeneration process that clears the filter clogged with soot. Tetrahedral mesh was created with electrostatic solid element for this analysis. Because of the geometry of the DPF and the narrowness of some sections between holes, a very fine mesh was generated. A model consistency study was created illustrating the effect of clogging on the internal electric field of the filter. Multiple scenarios representing various clogging configurations were simulated. These configurations included a fully clogged filter, the top-right quadrant of holes clogged, and the lower half of holes clogged. The FEA analysis demonstrated that change of relative permittivity in the DPF due to soot plugging can be estimated by measuring the electrical potential across electrodes.
Recommended Content
Authors
- Mohammed Khattab - Indiana University Purdue University Indianapolis
- Neal Katterjohn - Indiana University Purdue University Indianapolis
- Ammar Ali - Indiana University Purdue University Indianapolis
- Karansingh Patil - Indiana University Purdue University Indianapolis
- Sohel Anwar - Indiana University Purdue University Indianapolis
Citation
Khattab, M., Katterjohn, N., Ali, A., Patil, K. et al., "Finite Element Analysis of Soot Load Detection Capability via Electrical Capacitance Tomography in a Diesel Particulate Filter," SAE Technical Paper 2018-01-0648, 2018, https://doi.org/10.4271/2018-01-0648.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 |
Also In
References
- Fischerauer , G. , Forster , M. , and Moos , R. Sensing the Soot Load in Automotive Diesel Particulate Filters by Microwave Methods Meas. Sci. Technol. 21 1 6 2010
- Twigg , M.V. and Phillips , P.R. Cleaning the Air We Breathe - Controlling Diesel Particulate Emissions from Passenger Cars Platinum Met. Rev. 53 27 34 2009 10.1595/147106709X390977
- Adler , J. Ceramic Diesel Particulate Filters Int. J. Appl. Ceram. Technol. 2 429 439 2005
- Husted , H. , Roth , G. , Nelson , S. , Hocken , L. et al. Sensing of Particulate Matter for On-Board Diagnosis of Particulate Filters SAE Int. J. Engines 5 2 235 247 2012 10.4271/2012-01-0372
- Sappok , A. , Bromberg , L. , Parks , J. , and Prikhodko , V. Loading and Regeneration Analysis of a Diesel Particulate Filter with a Radio Frequency-Based Sensor SAE Technical Paper 2010-01-2126 2010 10.4271/2010-01-2126 Powertrains Fuels & Lubricants Meeting
- Donthi , S.S. 2004
- Koledintseva , M.Y. , DuBroff , R.E. , and Schwartz , R.W. A Maxwell Garnett Model for Dielectric Mixtures Containing Conducting Particles at Optical Frequencies Progress in Electromagnetics Research, PIER 63 223 242 2006
- 2016