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Wall-Flow Diesel Particulate Filters—Their Pressure Drop and Collection Efficiency

Authors: Athanasios G. Konstandopoulos; John H. Johnson;

Wall-Flow Diesel Particulate Filters—Their Pressure Drop and Collection Efficiency

Abstract

<div class="htmlview paragraph">The present study investigates the pressure drop and filtration characteristics of wall-flow diesel particulate monoliths, with the aid of a mathematical model. An analytic solution to the model equations describing exhaust gas mass and momentum conservation, in the axial direction of a monolith cell, and pressure drop across its porous walls has been obtained. The solution is in very good agreement with available experimental data on the pressure drop of a typical wall-flow monolith. The capture of diesel particles by the monolith, is described applying the theory of filtration through a bed of spherical collectors. This simple model, is in remarkable agreement with the experimental data, collected during the present and previous studies, for the accumulation mode particles (larger than 0.1 μm). Although the model does not account for post-monolith particle formation, the dimensionless groups suggested by the <i>filtration</i> theory are found to correlate the data for the nuclei mode particles (smaller than 0.1 μm). The predictive power of the design equations established, and their ease of use make them indispensable tools for the rational engineering design of diesel particulate filters.</div>

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
248
Top 1%
Top 1%
Top 10%
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