2019
DOI: 10.3390/en12112045
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Study on a New Gasoline Particulate Filter Structure Based on the Nested Cylinder and Diversion Channel Plug

Abstract: Increasingly stringent emission regulations have imposed strict requirements on the particulate matter (PM) from gasoline direct injection (GDI) engines, and the gasoline particulate filters (GPFs) are considered one of the most promising devices for meeting these requirement. To reduce the flow resistance of the GPF, a type of nested cylinder and diversion channel plug (NC-DCP) GPF is designed. It is composed of nested foam metal cylinders and annular diversion channel plugs. The pressure drop and its influen… Show more

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Cited by 16 publications
(7 citation statements)
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“…Then, a two-dimensional axisymmetric steady-state incompressible flow model is established. The governing equations of the flow and the turbulence model have been verified in previous research [41][42][43][44].…”
Section: Simulation Modelmentioning
confidence: 73%
“…Then, a two-dimensional axisymmetric steady-state incompressible flow model is established. The governing equations of the flow and the turbulence model have been verified in previous research [41][42][43][44].…”
Section: Simulation Modelmentioning
confidence: 73%
“…The simple algorithm and k-ε turbulence model are used for calculation. Equivalent continuation method is used to simulate the calculation area of the filter, and the reliability of the model and solution has been verified in previous studies [12,13]. The boundary conditions are shown in Table 1.…”
Section: Simulation Modelmentioning
confidence: 98%
“…The multifield synergy process of particle combustion in the monolith was studied. The model and mesh division conditions of the particle filter were the same as those described in previous research [23,24]. Choosing the parameters of the wall-flow monolith as a reference, the initial conditions of the monolith based on two connection cones were designed according to the obtained test data, and the cone properties are summarized in Table 2.…”
Section: Multifield Synergy Modelmentioning
confidence: 99%