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

scholarly journals Magnetic resonance velocity imaging of gas flow in a diesel particulate filter

2017 ◽  
Vol 158 ◽  
pp. 490-499 ◽  
Author(s):  
Nicholas P. Ramskill ◽  
Andrew P.E. York ◽  
Andrew J. Sederman ◽  
Lynn F. Gladden
Keyword(s):  
Magnetic Resonance ◽  
Diesel Particulate Filter ◽  
Gas Flow ◽  
Particulate Filter ◽  
Diesel Particulate ◽  
Velocity Imaging

Comparisons of Magnetic Resonance Imaging Velocimetry With Computational Fluid Dynamics

1997 ◽  
Vol 119 (1) ◽  
pp. 103-109 ◽  
Author(s):  
B. Newling ◽  
S. J. Gibbs ◽  
J. A. Derbyshire ◽  
D. Xing ◽  
L. D. Hall ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Flow Field ◽  
Stokes Equations ◽  
Three Dimensional ◽  
Navier Stokes ◽  
Resonance Imaging ◽  
Pipe System

The flow of Newtonian liquids through a pipe system comprising of a series of abrupt expansions and contractions has been studied using several magnetic resonance imaging (MRI) techniques, and also by computational fluid dynamics. Agreement between those results validates the assumptions inherent to the computational calculation and gives confidence to extend the work to more complex geometries and more complex fluids, wherein the advantages of MRI (utility in opaque fluids and noninvasiveness) are unique. The fluid in the expansion-contraction system exhibits a broad distribution of velocities and, therefore, presents peculiar challenges to the measurement technique. The MRI protocols employed were a two-dimensional tagging technique, for rapid flow field visualisation, and three-dimensional echo-planar and gradient-echo techniques, for flow field quantification (velocimetry). The Computational work was performed using the FIDAP package to solve the Navier-Stokes equations. The particular choice of parameters for both MRI and computational fluid dynamics, which affect the results and their agreement, have been addressed.

Measurement of flow field in biofilm reactors by 3-D magnetic resonance imaging

AIChE Journal ◽  
2005 ◽  
Vol 51 (11) ◽  
pp. 3072-3079 ◽  
Author(s):  
Kevin P. Nott ◽  
Frank P. Heese ◽  
Laurance D. Hall ◽  
Lynne E. Macaskie ◽  
Marion Paterson-Beedle
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Flow Field ◽  
Resonance Imaging ◽  
Biofilm Reactors

scholarly journals Insights into Automotive Particulate Filters using Magnetic Resonance Imaging : Understanding filter drying in the manufacturing process and the effect of particulate matter on filter operation and fluid dynamics

2020 ◽  
Vol 64 (2) ◽  
pp. 165-179
Author(s):  
J. D. Cooper ◽  
N. P. Ramskill ◽  
A. J. Sederman ◽  
L. F. Gladden ◽  
A. Tsolakis ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Particulate Matter ◽  
Magnetic Resonance ◽  
Spatial Information ◽  
Particulate Filter ◽  
Drying Process ◽  
Resonance Imaging ◽  
Emissions Control ◽  
Particulate Filters

Understanding the manufacture and operation of automotive emissions control particulate filters is important in the optimised design of these emissions control systems. Here we show how magnetic resonance imaging (MRI) can be used to understand the drying process, which is part of the manufacture of catalysed particulate filters. Comparison between a wall-flow particulate filter substrate and a flow-through monolith (FTM) has been performed, with MRI giving spatial information on the drying process. We have also used MRI to study the fluid dynamics of a gasoline particulate filter (GPF). Inlet and outlet channel gas velocities have been measured for a clean GPF and two GPF samples loaded with particulate matter (PM) to understand the effect of PM on the filter flow profiles and porous wall permeability as soot is deposited.

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