Effect analysis on pressure sensitivity performance of diesel particulate filter for heavy-duty truck diesel engine by the nonlinear soot regeneration combustion pressure model

Xiaohuan Zhao, Hongyan Zuo and Guohai Jia

Energy, 2022, vol. 257, issue C

Abstract: In this paper, the nonlinear soot regeneration combustion pressure model (NSRCMP model) is established and employed for Diesel Particulate Filter (DPF) simulation study. The NSRCMP model is reliable and accurate under simulation and experimental conditions of the process of clean filter, soot loading and soot regeneration combustion. The DPF soot loading response time and pressure drop are investigated under the parameter changes of cell density, wall thickness and permeability. It is a new attempt to measure the DPF pressure sensitivity by the trend of different design parameters. Cell density and permeability affect the soot loading time dramatically and the maximum and minimum soot loading time ratio is 3. Cell density and permeability make a significant pressure drop change through the pressure sensitivity comparisons. The corresponding ratio of maximum pressure sensitivity parameter is 2.4 when the cell density is 100 cpsi. The comparison results of pressure sensitivity under different permeabilities show a fixed ratio of 1.4. The results show that cell density is the key parameter to affect the overall system pressure. The influence of wall thickness on pressure sensitivity is not sensitive to the change of configurations of DPFs.

Keywords: Diesel particulate filter; Cell density; Pressure drop; Soot; Permeability; Nonlinear soot regeneration combustion pressure model (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:257:y:2022:i:c:s0360544222016693

DOI: 10.1016/j.energy.2022.124766

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