Modeling thermal regeneration of wall‐flow diesel particulate traps

Modeling thermal regeneration of wall‐flow diesel particulate traps Stricter emission control legislation for diesel use has been increasing interest in highly efficient wall‐flow particulate filters. The mathematical modeling of the filter regeneration process is indispensable in developing reliable and durable trap systems for various applications. Although modeling of wall‐flow filters has been investigated extensively, significant problems still exist in the correlation of modeling results with measurements. This article describes an improved modeling and model tuning approach. A classical zero‐dimensional regeneration model, modified to account for incomplete soot oxidation effects, is discussed, and existing and novel methods of estimating trap loading, crucial in all modeling applications, are compared. The design of a model tuning approach based on full‐scale experiments is highlighted with examples of model predictions during trap failure that show capabilities of supporting the design of trap protection techniques. Applications to regeneration rate control, filter sizing and the development of on‐board diagnostics are demonstrated with examples. Dimensional analysis is used for the concise quantitative evaluation of the parameters affecting the evolution of the regeneration process. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Aiche Journal Wiley

Modeling thermal regeneration of wall‐flow diesel particulate traps

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Publisher
Wiley
Copyright
Copyright © 1996 American Institute of Chemical Engineers
ISSN
0001-1541
eISSN
1547-5905
DOI
10.1002/aic.690420618
Publisher site
See Article on Publisher Site

Abstract

Stricter emission control legislation for diesel use has been increasing interest in highly efficient wall‐flow particulate filters. The mathematical modeling of the filter regeneration process is indispensable in developing reliable and durable trap systems for various applications. Although modeling of wall‐flow filters has been investigated extensively, significant problems still exist in the correlation of modeling results with measurements. This article describes an improved modeling and model tuning approach. A classical zero‐dimensional regeneration model, modified to account for incomplete soot oxidation effects, is discussed, and existing and novel methods of estimating trap loading, crucial in all modeling applications, are compared. The design of a model tuning approach based on full‐scale experiments is highlighted with examples of model predictions during trap failure that show capabilities of supporting the design of trap protection techniques. Applications to regeneration rate control, filter sizing and the development of on‐board diagnostics are demonstrated with examples. Dimensional analysis is used for the concise quantitative evaluation of the parameters affecting the evolution of the regeneration process.

Journal

Aiche JournalWiley

Published: Jun 1, 1996

References

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