Modeling of Soot Deposition and Active Regeneration in Wall-flow DPF and Experimental Validation

Chiavola, Ornella; Chiatti, Giancarlo; Cavallo, Domenico Mario; Mancaruso, Ezio; Vaglieco, Bianca Maria

doi:10.4271/2020-01-2180

Cited by 4 publications

(1 citation statement)

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“…The wall-flow DPF used in this paper is closed in space and has good symmetry characteristics [10] . Therefore, to simplify the analysis process, a set of inlet and outlet channels are used as the research object for mathematical modeling.…”

Section: Dpf Pressure Drop Prediction Modelmentioning

confidence: 99%

Particulate Matter Load Estimation and Distribution Characteristics of Diesel Particulate Filter

Wang

et al. 2023

J. Phys.: Conf. Ser.

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This paper focuses on the offline electric heating regeneration technology of DPF (Diesel Particulate Filter). Based on the actual operating conditions of the airport passenger elevator, the pressure drop changes before and after the offline regeneration of DPF, the passive regeneration process during the vehicle operation, and the capture efficiency of PM and PN after the offline regeneration of DPF are studied. The DPF pressure drop increases with the operation time because of the extremely low efficiency of passive regeneration before offline regeneration, and the initial pressure drop after regeneration is slightly higher than that of the fresh carrier due to the existence of ash. When the exhaust temperature reaches 420°C, the DPF passive regeneration rate is higher than the capture rate, and the DPF pressure drop drops rapidly when the passenger elevator continues to run. The mass fraction of fine particulate matter is more than 0.02μm in the cold start stage, while the mass fraction of fine particulate matter is more than 0.02μm in the hot start stage.

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Section: Dpf Pressure Drop Prediction Modelmentioning

confidence: 99%