Measurement of Multi-Dimension Soot Distribution in Diesel Particulate Filters by a Dynamic Neutron Radiography

Author(s):  
G. Harvel ◽  
Jen-Shih Chang ◽  
D. Ewing ◽  
P. Fanson ◽  
M. Kakinohana
Catalysts ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1307
Author(s):  
Luciana Lisi ◽  
Gianluca Landi ◽  
Valeria Di Sarli

Soot-catalyst contact represents the main critical issue for an effective regeneration of catalytic (i.e., catalyst-coated) diesel particulate filters (DPFs). Most of the literature reviews on this topic have mainly been focused on studies dealing with powdered soot-catalyst mixtures. Although the results obtained on powders surely provide significant indications, especially in terms of intrinsic activity of materials towards soot oxidation, they cannot be directly extended to DPFs due to completely different soot-catalyst contact conditions generated during filtration and subsequent regeneration. In this work, attention is devoted to catalytic DPFs and, more specifically, studies on both catalyst dispersion and soot distribution inside the filter are critically reviewed from the perspective of soot-catalyst contact optimization. The main conclusion drawn from the literature analysis is that, in order to fully exploit the potential of catalytic DPFs in soot abatement, both a widespread and homogeneous presence of catalyst in the macro-pores of the filter walls and a suitably low soot load are needed. Under optimal soot-catalyst contact conditions, the consequent decrease in the temperature required for soot oxidation to values within the temperature range of diesel exhausts suggests the passage to a continuous functioning mode for catalytic filters with simultaneous filtration and regeneration, thus overcoming the drawbacks of periodic regeneration performed in current applications.


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...  

2011 ◽  
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pp. 2623-2629 ◽  
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J.H. Amorim ◽  
P. Cascão ◽  
...  

2013 ◽  
Vol 56 (1-8) ◽  
pp. 483-488 ◽  
Author(s):  
Markus Feulner ◽  
Gunter Hagen ◽  
Andreas Piontkowski ◽  
Andreas Müller ◽  
Gerhard Fischerauer ◽  
...  

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