Study on Structure Optimization of Diesel Particulate Filter Based on Flow Field Distribution Characteristics

2011 ◽  
Author(s):  
Fu Jun ◽  
Gong Jinke ◽  
Liu Yunqing ◽  
Jia Guohai
Keyword(s):  
Flow Field ◽  
Field Distribution ◽  
Diesel Particulate Filter ◽  
Structure Optimization ◽  
Particulate Filter ◽  
Distribution Characteristics ◽  
Diesel Particulate

scholarly journals Investigation on Gas-Soot Flow Distribution Characteristic of Soot Capture Process in the Wall-Flow Diesel Particulate Filter

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jianyu Li ◽  
Chunping Lu ◽  
Dongli Tan
Keyword(s):  
Mathematical Model ◽  
Diesel Particulate Filter ◽  
Flow Distribution ◽  
Conservation Equation ◽  
Particulate Filter ◽  
Phase Flow ◽  
Distribution Characteristics ◽  
Two Phase ◽  
Capture Process ◽  
Diesel Particulate

In order to investigate the distribution characteristics of gas-particle two-phase flow in the diesel particulate filter in the capture process, a mathematical model of gas-particle two-phase flow for inside-and-outside filter had been established in the capture process according to the mass conservation equation, momentum conservation equation, and k-ε turbulence equation. The model verification was carried out with the experimental and simulated of flow distribution characteristics of gas-particle two-phase. The obtained results showed that the static pressure gradient along the radial distribution was greater at the inlet of the filter in capture process in the diesel particulate filter, which could easily lead to causing eventual fatigue damage due to stress concentration in the front-end of filter; moreover, the weaker the vortex strength of gas-particle formed in expansion pipe was, the better uniformity of flow velocity and soot concentration distribution were. Therefore, the established mathematical model can be used for predicting gas-particle flow velocity distribution in the diesel particulate filter.

Visualization of the Gas Flow Field within a Diesel Particulate Filter Using Magnetic Resonance Imaging

2015 ◽  
Author(s):  
Andrew P. E. York ◽  
Timothy C. Watling ◽  
Nicholas P. Ramskill ◽  
Lynn F. Gladden ◽  
Andrew J. Sederman ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Flow Field ◽  
Diesel Particulate Filter ◽  
Gas Flow ◽  
Particulate Filter ◽  
Resonance Imaging ◽  
Diesel Particulate ◽  
Gas Flow Field

Comparative analysis on the effects of diesel particulate filter and selective catalytic reduction systems on a wide spectrum of chemical species emissions

2018 ◽  
Author(s):  
Z. Gerald Liu ◽  
Devin R. Berg ◽  
Thaddeus A. Swor ◽  
James J. Schauer‡
Keyword(s):  
Diesel Engine ◽  
Selective Catalytic Reduction ◽  
Diesel Particulate Filter ◽  
Catalytic Reduction ◽  
Wide Spectrum ◽  
Chemical Species ◽  
Pollutant Emissions ◽  
Particulate Filter ◽  
Diesel Particulate ◽  
Aftertreatment Systems

Two methods, diesel particulate filter (DPF) and selective catalytic reduction (SCR) systems, for controlling diesel emissions have become widely used, either independently or together, for meeting increasingly stringent emissions regulations world-wide. Each of these systems is designed for the reduction of primary pollutant emissions including particulate matter (PM) for the DPF and nitrogen oxides (NOx) for the SCR. However, there have been growing concerns regarding the secondary reactions that these aftertreatment systems may promote involving unregulated species emissions. This study was performed to gain an understanding of the effects that these aftertreatment systems may have on the emission levels of a wide spectrum of chemical species found in diesel engine exhaust. Samples were extracted using a source dilution sampling system designed to collect exhaust samples representative of real-world emissions. Testing was conducted on a heavy-duty diesel engine with no aftertreatment devices to establish a baseline measurement and also on the same engine equipped first with a DPF system and then a SCR system. Each of the samples was analyzed for a wide variety of chemical species, including elemental and organic carbon, metals, ions, n-alkanes, aldehydes, and polycyclic aromatic hydrocarbons, in addition to the primary pollutants, due to the potential risks they pose to the environment and public health. The results show that the DPF and SCR systems were capable of substantially reducing PM and NOx emissions, respectively. Further, each of the systems significantly reduced the emission levels of the unregulated chemical species, while the notable formation of new chemical species was not observed. It is expected that a combination of the two systems in some future engine applications would reduce both primary and secondary emissions significantly.

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