Modeling the Transport Dynamics in Gasoline Particulate Filters

2018 ◽  
Author(s):  
Svyatoslav Korneev ◽  
Simona Onori
Keyword(s):  
Porous Wall ◽  
Particulate Filter ◽  
Navier Stokes ◽  
Navier Stokes Equation ◽  
Particulate Filters ◽  
Transport Dynamics ◽  
Particulate Transport ◽  
Gasoline Particulate Filter ◽  
Reaction Equations ◽  
Incompressible Navier Stokes Equation

We develop the flow and the particulate transport models in a wall-flow gasoline particulate filter (GPF). The filter is constituted of inlet channels which are separated from outlet channels by a porous wall. We model the flow inside the channel using incompressible Navier-Stokes equation coupled with the spatially averaged Navier-Stoke equation for the porous wall. For the particulate transport, we use coupled advection and spatially averaged advection-reaction equations, where the reaction term models the particles trapping. The concentration of deposited particulates at the back of the filter downstream the flow increases with Reynolds number. These results are in agreement with the published experimental measurements of the spatial distribution of particles inside the filter.

Modeling the Flow and Transport Dynamics in Gasoline Particulate Filters to Improve Filtration Efficiency

2020 ◽  
Vol 142 (6) ◽  
Author(s):  
Svyatoslav Korneev ◽  
Simona Onori
Keyword(s):  
Stokes Equation ◽  
Channel Model ◽  
Filter Design ◽  
Filtration Efficiency ◽  
Gasoline Direct Injection ◽  
Navier Stokes ◽  
Navier Stokes Equation ◽  
Particulate Filters ◽  
Particulate Transport ◽  
Porous Walls

Abstract We propose a new pore-scale/channel model, or hybrid model, for the fluid flow and particulate transport in gasoline particulate filters (GPFs). GPFs are emission control devices aimed at removing particulate out of the exhaust system of a gasoline direct injection engine. In this study, we consider a wall-flow uncoated GPF, which is made of a bundle of inlet and outlet channels separated by porous walls. The particulate-filled exhaust gas flows into the inlet channels, and passes through the porous walls before exiting out of the outlet channels. We model the flow inside the inlet and outlet channels using the incompressible Navier–Stokes equation coupled with the spatially averaged Navier–Stokes equation for the flow inside the porous walls. For the particulate transport, the coupled advection and spatially averaged advection–reaction equations are used, where the reaction term models the particulate accumulation. Using OpenFOAM, we numerically solve the flow and the transport equations and show that the concentration of deposited particles is nonuniformly distributed along the filter length, with an increase of concentration at the back end of the filter as Reynolds number increases. Images from X-ray computed tomography (XCT)-scanning experiments of the soot-loaded filter show that such a nonuniform distribution is consistent with the prediction obtained from the model. Finally, we show how the proposed model can be employed to optimize the filter design to improve filtration efficiency.

A Study of Bifurcation Design Used in CD-ELISA Micro-Fluidic Platform

2010 ◽  
Author(s):  
Samuel I. En Lin
Keyword(s):  
Coriolis Force ◽  
Clinical Diagnostics ◽  
Biological Molecules ◽  
Navier Stokes ◽  
Navier Stokes Equation ◽  
Safety Testing ◽  
Micro Channels ◽  
Simulation Results ◽  
Incompressible Navier Stokes Equation ◽  
Detection And Quantification

Enzyme-linked immunosorbent assays (ELISA), one of the most common immunoassays, is widely used for detection and quantification of chemical and biological molecules and is becoming more and more important in clinical diagnostics, food safety testing, and environmental monitoring. A major challenge in developing the CD-ELISA is to split the flow (e.g., bio-reagents) evenly on the micro-channels. The Coriolis force resultant from CD rotation can disturb the flow in the splitter region and thus cause the failure mode in delivering the solution from each reservoir in a pre-specified manner. In this study, we investigate on the effects of inlet pressure and Coriolis force on the splitting ratio under two splitter structures. The analysis is based on the incompressible Navier-Stokes equation and the simulation results agree well with our experimental work.

Large-frequency global regularity for the incompressible Navier–Stokes equation

1999 ◽  
Vol 129 (5) ◽  
pp. 903-912
Author(s):  
Joel D. Avrin
Keyword(s):  
Boundary Conditions ◽  
Global Regularity ◽  
Stokes Equations ◽  
Strong Solutions ◽  
Dirichlet Boundary Conditions ◽  
Navier Stokes ◽  
Thin Domains ◽  
Navier Stokes Equation ◽  
Navier Stokes Equations ◽  
Incompressible Navier Stokes Equation

We obtain global existence and regularity of strong solutions to the incompressible Navier–Stokes equations for a variety of boundary conditions in such a way that the initial and forcing data can be large in the high-frequency eigenspaces of the Stokes operator. We do not require that the domain be thin as in previous analyses. But in the case of thin domains (and zero Dirichlet boundary conditions) our results represent a further improvement and refinement of previous results obtained.

Modelling of Laminar Canonical Flows: Revisit

2012 ◽  
Author(s):  
Kofi Freeman K. Adane ◽  
Mark F. Tachie
Keyword(s):  
Three Dimensional ◽  
Shear Thinning ◽  
Secondary Flows ◽  
Newtonian Fluids ◽  
Navier Stokes ◽  
Jet Flows ◽  
Wall Jet ◽  
Navier Stokes Equation ◽  
Incompressible Navier Stokes Equation ◽  
Insight Into

Three-dimensional laminar lid-driven and wall jet flows of various shear-thinning non-Newtonian and Newtonian fluids were numerically investigated. The complete nonlinear incompressible Navier-Stokes equation was solved using a collocated finite-volume based in-house CFD code. From the results, velocity profiles at several locations, jet spread rates, secondary flows and vorticity distributions were used to provide insight into the characteristics of three-dimensional laminar canonical flows of shear-thinning non-Newtonian and Newtonian fluids.

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