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Computational Fluid Dynamics – Energy savings of migrating Canadian geese CFD mesh generation around the flapping wing Full geometry (A) and airfoil (S1223) (B) Morphology of the flapping wing Coordinate location (A and B), upstroke (C) and downstroke (D) motions (dynamic mesh) ANSYS Fluent : unsteady k-ε model 3D vortex dynamics Vorticity fields explain the upwash and downwash patterns and demonstrate the aerodynamical benefits of the distinctive V formation during the migration Journal publication (cited by two Nature papers and ScienceNews): http://www.sciencedirect.com/science/article/pii/S0022519312006212

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Computational Fluid Dynamics – Energy savings of migrating Canadian geese

CFD mesh generation around the flapping wing

Full geometry (A) and airfoil (S1223) (B) Morphology of the flapping wingCoordinate location (A and B), upstroke (C)

and downstroke (D) motions (dynamic mesh)

ANSYS Fluent: unsteady k-ε model

3D vortex dynamicsVorticity fields explain the upwash and downwash patterns and demonstrate the

aerodynamical benefits of the distinctive V formation during the migration

Journal publication (cited by two Nature papers and ScienceNews):http://www.sciencedirect.com/science/article/pii/S0022519312006212

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Computational Fluid Dynamics – SCR system guide vane optimization

HK-DeNOx-SCR OptimizationReduce the effect of the large vortex and

enhance the performance of SCR via optimizing guide vane angles. Obtained angle distributions

are 𝜃𝜃1 = 37°,𝜃𝜃2 = 23° and 𝜃𝜃3 = −10°

Evaluation of the optimized position of the guide vane for the uniform flow distribution

ANSYS Fluentk-ε model turbulent model, structured grid,

uniform flow inlet and uniform pressure outlet

Inlet condition• Flowrate: 55,670 Nm3/h• Temperature: 324.75 °COutlet condition• Pressure: +68 mmAq

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Assessment of Film Cooling Effectiveness for the Flat Plate

Film cooling effectiveness η:

Taw: adiabatic wall temperatureTc: coolant temperatureTm: mainstream temperature

<Schematic Top view of the apparatus>

PC

Mainstream Air

FlowStraightener

FloatFlow Meter

FlowControl Valve

Coolant fromCompressor

SuctionTypeBlowerTest Surface

Air Plenum

IRCamera

Pipe Heater

Saran wrap window

Coolant InletInto Plenum

Plenum

95mm

60m

m

15mmθ = 30°

φ = 4mm, β = 0°

x/D

η

x/D=0

Black paint painted area

x/D=16.4

calculated areaη

Effectiveness in different blowing ratios (M)

The maximum effectiveness was obtained when the blowing ratio was 0.5 which corresponds to the optimum blow ration range (M =

0.5 - 0.8)

m

c

mm

cc

VV

VVM ≅=

ρρ

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Experimental Design – Very High Temperature Reactor (VHTR)

VHTR test facilityManufactured by Moore fabrication (polycarbonate)

& Madewell (stainless steel), Houston, TX

VHTR reference reactorAnalyzed on accident conditions

(Loss-of-coolant accident)

Solidworks 3D CAD design (1/16th scale)Focused on water tightness (no leakage), wire access and flow visualization (Particle Image Velocimetry)

Scale down(Re and Risimilarity)

Design and fabrication

Region of interest

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Experimental Facility – Very High Temperature Reactor (VHTR)

Core pipe assembly

Journal publication (scaling, assembly, preliminary test and results):http://www.sciencedirect.com/science/article/pii/S014919701500092X

NI SCXI-1001 DAQ + LabVIEWMonitored 54 temperatures (25 each

inlet/outlet, CJ inlet/outlet and system inlet/outlet), differential pressure and

flowrate

Thermocouples

Heating tapes

Silicon tubing

UV epoxy Ferrules

Thermocouple tip

Insulation

Outer containment

Wire access

Assembly and test

setup

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Flow Visualization – Particle Image Velocimetry (PIV)

PIV laser and camera system for flow visualization

PIV test result and further analysis

Post-processing:MATLAB PIV codes and tecplot

Run test:Monitor

temperature, pressure and

flowrate

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Computational Fluid Dynamics – Commercial software validationCFD validation: Star-CCM+ and ANSYS Fluent

Grid (mesh) generation Laminar velocity profile test (Re = 100) Turbulent k-ε model test

Full scale model validation test Conjugate heat transfer test

PIV Experiment vs CFDTurbulent model test (k-ε vs Reynolds stress turbulent (RSM) model). RSM is

superior for the complex geometry. Natural convection with Boussinesq approximation

is tested for the buoyant jet analysis.