(Coventry University) Steven Pierson (Jaguar Land Rover) - - PowerPoint PPT Presentation
(Coventry University) Steven Pierson (Jaguar Land Rover) - - PowerPoint PPT Presentation
Ahmad Kamal Mat Yamin, Stephen F. Benjamin, Carol Ann Roberts (Coventry University) Steven Pierson (Jaguar Land Rover) Introduction Methodology CFD prediction Results Conclusion Future work outline introduction
- Introduction
- Methodology
- CFD prediction
- Results
- Conclusion
- Future work
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introduction methodology CFD predictions results conclusion future work references
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introduction methodology CFD predictions results conclusion future work references
INTRODUCTION Automotive catalysts?
- Catalysts are substances capable of accelerating certain chemical
- reactions. In automotive exhaust systems, the chemical reactions convert
poisonous gases to harmless gases. Factors affecting the conversion efficiency:
- Flow uniformity
- Mass transfer
- Flow rate
Metallic perforated brick:
- 2 layer of foils, i.e. one flat and one corrugated
are perforated before winding them together
Typical Metallic Catalyst Brick
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introduction methodology CFD predictions results conclusion future work references
Flat foil Corrugated foil
Straight-line exhaust flow in a traditional metallic catalyst brick
Perforated Metallic Catalyst Brick
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introduction methodology CFD predictions results conclusion future work references
Perforated flat foil Perforated corrugated foil
Radial flow between adjacent channels resulting from the perforated foils
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introduction methodology CFD predictions results conclusion future work references
Laminar catalyst vs. turbulent catalyst The radial flow caused by perforated foils
- enhances flow uniformity
- improves
mixing
- f
gas species within and between channels
- results in improved
conversion efficiency
Laminar catalyst Turbulent catalyst
No cross channel flow Increased mass transfer Poor flow uniformity Improved flow uniformity
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introduction methodology CFD predictions results conclusion future work references
Aim: To develop an axisymmetric CFD model of a perforated brick with the aid
- f experimental measurements.
Objectives:
- To determine the axial resistance coefficients from measurement under
uniform inlet flow conditions
- To measure radial flow profiles and pressure drop under non-uniform inlet
flow
- To find the transverse resistance coefficients by best matching CFD
predictions to measurements
METHODOLOGY OF CFD MODELLING
- 1. The perforated brick was modelled as a porous medium
(The pressure drop (δP) as a function of resistance coefficients (αi and ßi) and superficial velocity in the three mutually perpendicular directions)
- 2. Preliminary measurements showed the flow distribution downstream of the
perforated brick was axi-symmetric
- 3. The
axial alpha and axial beta were determined from pressure drop measurements under uniform inlet flow conditions
- 4. The radial flow profiles and axial pressure drop were measured under non-
uniform inlet flow conditions
- 5. Determine the axial and transverse alpha values by best matching CFD
predictions to measurements (Assumption: transverse beta is zero)
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introduction methodology CFD predictions results conclusion future work references
s,i i 2 s,i i i
U β U α ξ P
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introduction methodology CFD predictions results conclusion future work references
START
Initial values of axial alpha and transverse alpha Run CFD predictions
FINISH
Compare P Change transverse alpha Yes No Compare radial velocity profile Yes No Change axial alpha
Methodology flow diagram
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introduction methodology CFD predictions results conclusion future work references
Schematics of the flow behaviour inside the channels of two-type of catalysts, i.e. standard and perforated catalysts
x y
(a) Laminar catalyst
x y
(c) Turbulent catalyst under non-uniform flow inlet
x y
(b) Turbulent catalyst under uniform flow inlet
Wake
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introduction methodology CFD predictions results conclusion future work references
Rig set-up for pressure drop measurement under uniform inlet flow
Wall to wall velocity profile downstream
- f the perforated brick
with flow straightener
Pressure drop measurement across the perforated brick with flow straightener
CYLINDRICAL PLENUM NOZZLE PERFORATED BRICK FLOW STRAIGHTENER OUTLET SLEEVE DIFFUSER
ΔP
2 4 52.5 105
Wall to wall distance (mm) Velocity (m/s)
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NOZZLE CATALYST ASSEMBLY
Rig set-up for pressure drop and radial velocity profiles measurement under non-uniform inlet flow
Pressure drop and radial velocity profiles measurement under non-uniform inlet flow Photograph of the rig
CYLINDRICAL PLENUM AIR
ΔP
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Pressure Outlet
Porous Matrix
Inlet
X Z Y
CFD PREDICTIONS
- Simulation tool: Star-CD
- Modelled as a 5-degree wedge and consisted of 5672 cells
CFD model of the perforated brick
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Turbulence model V2F – requires y+ < 1 for cells adjacent to the walls Differencing schemes:
- MARS – U, V & W momentum
- Upwind – turbulence kinetic energy and dissipation
Grid independence study
- Several built meshes showed consistency in pressure drop
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Pressure loss across the perforated brick for uniform flow compared with that deduced from non-uniform CFD flow study -----
RESULTS
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introduction methodology CFD predictions results conclusion future work references
Pressure loss characteristic across the perforated brick under non-uniform inlet flow
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introduction methodology CFD predictions results conclusion future work references
Velocity distribution across the Perforated Brick under non-uniform inlet velocity various flow rates
5 10 15 52.5 105
Wall to wall distance (mm) Velocity (m/s)
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Normalised velocity distribution across the Perforated Brick under non-uniform inlet velocity
0.5 1 52.5 105
Wall to wall distance (mm) (Local velocity)/ (Mean velocity)
(Max. velocity)
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Velocity distribution across the Perforated Brick under non-uniform inlet velocity- CFD (Solid lines ) vs measurement
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introduction methodology CFD predictions results conclusion future work references
CONCLUSION:
- The perforated brick can be modelled as an axisymmetric model as the
flow profiles across the brick under non-uniform inlet flow appeared to be approximately axi-symmetric
- The axial alpha and transverse alpha were deduced by best-matching
CFD predictions to the pressure drop and velocity profile measurement under non-uniform inlet flow.
- The axial alpha and transverse alpha were 25 and 30,000 respectively.
The axial alpha was 55% smaller than determined from the least square method of the measurement for uniform flow due to the presence of cross flow.
- The alpha and beta values obtained are subject to confirmation in future
work
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FUTURE WORK:
- 1. Establish the generality of the method for obtaining resistance coefficients
by investigating higher flow rates and geometrically different flow assemblies
- 2. Include flow simulation in the diffuser upstream of the catalyst.
- 3. Heat and mass transfer simulation throughout the perforated brick
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introduction methodology CFD predictions results conclusion future work references REFERENCES:
- 1. Benjamin, S., Clarkson, R. J., Haimad, N. and Girgis, N. S. (1996) An
Experimental and Prediction Study of the Flow Field in Axisymmetric Automotive Exhaust Catalyst Systems, SAE Paper 961208
- 2. Bollig, M., Liebl, J., Zimmer, R., Kraum, M., Seel, O., Siemund, S., Bruck, R.,
Diringer, J. and Maus, W. (2004) Next Generation Catalysts are Turbulent: Development of Support and Coating, SAE Paper 2004-01-1488
- 3. Kaiser, R., Stadler, F., Pace, L., and Presti, M. (2007) Simulation Model of
Three-Way Catalysts with Perforated Foils, http://www.atzonline.com/.
- 4. Lotti, C., Rossi, V., Poggio, L., Holzinger, M., Pace, L., and Presti, M. (2005)
Backpressure-Optimized, Close-Coupled Catalyst~First Application on a Maserati Powertrain, SAE Paper 2005-01-1105.
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