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Modeling thermal regeneration of wall‐flow diesel particulate traps
Author(s) -
Koltsakis Grigorios C.,
Stamatelos Anastasios M.
Publication year - 1996
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690420618
Subject(s) - sizing , trap (plumbing) , filter (signal processing) , diesel particulate filter , soot , particulates , process (computing) , diesel fuel , flow (mathematics) , regeneration (biology) , process engineering , computer science , engineering , environmental science , automotive engineering , combustion , mechanics , chemistry , environmental engineering , physics , microbiology and biotechnology , operating system , organic chemistry , computer vision , biology
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.