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Numerical investigation on the upstream flow condition of the air flow meter in the air intake assembly of a passenger car. Zoltán Kórik Supervisor: Dr. Jenő Miklós Suda. by. Introduction. Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling
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Numerical investigation on the upstream flow condition of the air flow meter in the air intake assembly of a passenger car Zoltán Kórik Supervisor: Dr. Jenő Miklós Suda by
Introduction Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion • In a fuel injection system the main goal is to have the desired fuel-air mixture (max power with min consumption and emission) • We must know the accurate mass flow rate of air measured by the Air Flow Meter (AFM) • Throttle valve • AFM • Engine Control Unit(ECU) • Filter housing MSc Thesis presentationZoltán Kórik
The investigated assembly in the car Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion MSc Thesis presentationZoltán Kórik
Assembly details Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Investigation of the influence of the upstream conditions (with funnel and without funnel) MSc Thesis presentationZoltán Kórik
Measurement Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Measurement data were provided by a BSc Thesis work Numerical model based on the experimental setup: - Inlet and outlet geometry - Boundary conditions - Filter model MSc Thesis presentationZoltán Kórik
Geometry modelling Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion MSc Thesis presentationZoltán Kórik
Cases Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion M H L α β MSc Thesis presentationZoltán Kórik
Pressure taps 4 static pressure tap at each cross section: FB “bottom” of the filter (upstream) FT “top” of the filter (downstream) AI inlet of the AFM AO outlet of the AFM Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion MSc Thesis presentationZoltán Kórik
Plot planes Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Well defined main flow direction through the AFM x z y z z MSc Thesis presentationZoltán Kórik
Mesh Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Different volume zones(mesh control and porous zone) Target number of cells:2 million Method: Octree MSc Thesis presentationZoltán Kórik
Numerical settings Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Pressure based solver with absolute velocity formulation Steady “initialization” (1000 iteration)Transient simulation (200 step with 0.01s time step, 50 iterations/step) Viscous model: k-ω – SST Pressure velocity coupling: SIMPLE Spatial discretizations: Gradient Least squares cell based Pressure Standard (due to porous zone) Momentum Second order upwinding Turbulent kinetic energy Second order upwinding Specific dissipation rate Second order upwinding Constant density MSc Thesis presentationZoltán Kórik
Boundary conditions and evaluation Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Inlet: Mass flow rate prescribed on the half-sphere based on measurement data Outlet: Outflow Evaluation Calculation of loss coefficients:Cumulative average of the static pressure values Visualization:Flow field of the last time step H1 AO average MSc Thesis presentationZoltán Kórik
Filter modelling Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Handled as porous zone Coefficients in through flow direction were calculated based on measurement data Non-homogeneous other directions can be estimated only Local coordinate system MSc Thesis presentationZoltán Kórik
Coefficient iteration and directional dependence Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion H1 case was used X direction - lowerY direction - higher MSc Thesis presentationZoltán Kórik
Resulting flow field in the filter zone Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion H0 case (sectional streamlines) MSc Thesis presentationZoltán Kórik
Contour plots Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion High loss when the funnel is not present, due to contraction. MSc Thesis presentationZoltán Kórik
Contour plots Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Zero z velocity component iso-surface MSc Thesis presentationZoltán Kórik
Contour plots Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Velocity magnitude MSc Thesis presentationZoltán Kórik
Contour plots Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Static pressure with sectional streamlines MSc Thesis presentationZoltán Kórik
Contour plots Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Different secondary flow at the inlet MSc Thesis presentationZoltán Kórik
Contraction loss coefficient Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion MSc Thesis presentationZoltán Kórik Significant difference can be shown.
Pressure distribution - taps Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion MSc Thesis presentationZoltán Kórik
Pressure drop Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Good agreement at FT and AI The difference at AO is probably due to a loosen tap MSc Thesis presentationZoltán Kórik
Animations Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion Z velocity Iso-surface sweep(pressure contours) Z coordinate sweep(velocity contours) MSc Thesis presentationZoltán Kórik
Conclusion Introduction Geometry modelling Mesh Numerical setting and boundary conditions Filter modelling Results Conclusion The influence of the funnel could be shown with developed model. It has potential for further development. Transient operation can be interesting! MSc Thesis presentationZoltán Kórik