2015
DOI: 10.1016/j.ces.2015.06.011
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Modeling and simulation of soot combustion dynamics in a catalytic diesel particulate filter

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Cited by 91 publications
(58 citation statements)
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“…Preliminary results were also obtained in the absence of cake [16]. An abrupt transition from slow to fast regeneration was predicted to occur with increasing catalyst activity [14,15] and soot load [16]. This transition progressively shifts towards higher catalyst activity with increasing inlet gas velocity [15].…”
Section: Introductionmentioning
confidence: 94%
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“…Preliminary results were also obtained in the absence of cake [16]. An abrupt transition from slow to fast regeneration was predicted to occur with increasing catalyst activity [14,15] and soot load [16]. This transition progressively shifts towards higher catalyst activity with increasing inlet gas velocity [15].…”
Section: Introductionmentioning
confidence: 94%
“…More recently, we proposed a two-dimensional CFD-based model of regeneration of a single-channel catalytic DPF [14], and performed simulations varying the catalyst activity, the inlet gas velocity, and the amount of soot loaded as cake [14][15][16]. Our attention was mainly focused on the interaction between combustion of the soot trapped inside the catalytic wall of the filter and combustion of the cake.…”
Section: Introductionmentioning
confidence: 99%
“…The burning of the accumulated soot particles creates overheating spots in the filter which will damage the system [55]. A single channel model of the DPF filter was used in [56] for simulating the soot combustion in a DPF. The results of simulation showed that the combustion of soot causes a high temperature rise in the filter which would affect the durability of DPF.…”
Section: Commercial Fuel Based Active Regeneration Of Dpfmentioning
confidence: 99%
“…There are also a few works on two-dimensional (2D) models applying a commercial CFD software (see, for example, References [15][16][17]). It turns out that little improvement is gained by the 2D models when compared with the 1D models, while significant flow detail is lost relative to the 3D models.…”
Section: Introductionmentioning
confidence: 99%