Diesel particulate filter design simulation: A review

Yang, Shichun; Deng, Cheng; Gao, Yun; He, Yangkun

doi:10.1177/1687814016637328

Cited by 40 publications

(16 citation statements)

References 73 publications

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“…The ability of the proposed model to simulate the filtration behaviour of DPFs is checked against results by Zhang et al [73] who simulated a DPF that had been studied experimentally by Suresh et al [74]. The proposed model is applied to predict the change in pressure drop of the DPF as it collects particles, as the pressure drop of the DPF is commonly used in modelling studies to characterise the filtration behaviour [75]. In this work, it is assumed that the inlet particle diameter is 100 nm which is typical for diesel engines [76].…”

Section: Diesel Particulate Filter (Dpf)mentioning

confidence: 99%

Investigation of the impact of the configuration of exhaust after-treatment system for diesel engines

et al. 2020

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Section: Diesel Particulate Filter (Dpf)mentioning

confidence: 99%

Investigation of the impact of the configuration of exhaust after-treatment system for diesel engines

et al. 2020

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“…The widely adopted one dimensional model proposed by Bissett 13 is employed in this study. The assumptions of the model are listed below 14 :…”

Section: Theorymentioning

confidence: 99%

A study on the filtration efficiency and regeneration capacity of the gasoline particulate filter

Yue¹,

Lehmen

Nieuwstadt

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Gasoline particulate filters (GPF) are becoming a standard technology in gasoline engines because of the need for compliance with particulate matter (PM) emissions requirement. Generally, GPFs can be placed after a three-way catalysts (TWC) in the same can, or in a separate can downstream. As typical wall-flow filters, particulate matter is removed from the exhaust by physical filtration using a honeycomb structure similar to an emissions catalyst substrate but with the channels blocked at alternate ends. The goal of work was to the study the filtration efficiency and regeneration capacity of the GPF. Laboratory emission tests were carried out for one 2.0L gasoline turbo direct injection (GTDI) prototype vehicle according to the new World Harmonized Light Vehicle Test Cycle (WLTC). The data showed that the vehicle has a reliable and high GPF filtration efficiency to intercept the particulate pollution from the exhaust. Meanwhile, five 2.0L GTDI prototype cars from respective China stage 6 platforms were used for further study of soot accumulation and regeneration capacity. The results, in terms of modeled emissions in tests under real driving conditions of China cities (Nanjing and Hainan), showed that the heavy traffic road conditions lead to a low probability of soot regeneration. However, the GPF regeneration capacity of the test convoy was still adequate. In addition, the drive cycle exhibiting good road conditions with more aggressive driving behaviors offered a better regeneration environment due to the elevated GPF temperature and more frequent occurrence of deceleration fuel shut off (DFSO) creating an environment of excess oxygen content.

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“…PN emissions from light duty vehicles have been regulated in Europe since 2011 for diesel engines and 2014 for gasoline engines, at a level of 6 × 10 11 #/km. 6 In December 2016, China VI for light duty vehicles 7 was issued, which has the same PN limitation in its two stages as Europe. Stricter emission regulations challenge the internal purification and after-treatment technologies, and rely solely on the first method plus Three-way Catalytic Converter (TWC) is no longer capable to meet regulatory requirements.…”

Section: Introductionmentioning

confidence: 99%

Simulation of deep-bed filtration of a gasoline particulate filter with inhomogeneous wall structure under different particle size distributions

Shen

Zhang

et al. 2021

International Journal of Engine Research

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In order to describe the microstructure of the porous wall of a gasoline particulate filter (GPF), a pore size distribution based on a probability density function (PDF) and a non-uniform porosity distribution are introduced. The dynamic process of deep-bed filtration in GPF with inhomogeneous wall structure is studied, considering different particle size distributions (PSDs). The results show that most of the particles are captured in the top region of the porous wall, in which the porosity and permeability reduce more obviously during dynamic filtration, and the bottom of the porous wall contributes little to the overall filtration. As time increases, the filtration efficiency of the porous wall for each particle size increases, and the most penetrating particle’s diameter becomes smaller gradually. The dynamic evolution of characteristic parameters of the porous wall, the most efficient filtration region, the pressure drop and the duration of deep-bed filtration are strongly influenced by PSD. This research illustrates the necessity to consider difference of PSDs when working on the filtration process of GPFs.

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Diesel particulate filter design simulation: A review

Cited by 40 publications

References 73 publications

Investigation of the impact of the configuration of exhaust after-treatment system for diesel engines

Investigation of the impact of the configuration of exhaust after-treatment system for diesel engines

A study on the filtration efficiency and regeneration capacity of the gasoline particulate filter

Simulation of deep-bed filtration of a gasoline particulate filter with inhomogeneous wall structure under different particle size distributions

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