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QUANTITATIVE IMAGING OF MULTI-COMPONENT TURBULENT JETS QUANTITATIVE IMAGING OF MULTI-COMPONENT TURBULENT JETS

QUANTITATIVE IMAGING OF MULTI-COMPONENT TURBULENT JETS - PowerPoint Presentation

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QUANTITATIVE IMAGING OF MULTI-COMPONENT TURBULENT JETS - PPT Presentation

Arash Ash Supervisors Dr Djilali Dr Oshkai Institute for Integrated Energy Systems University of Victoria ICHS2011 September 12 th 2011 Safety Standards The integration of a hydrogen gas storage has not been without its challenges ID: 630914

flow jet velocity cross jet flow cross velocity buoyancy free hydrogen effects centerline froude particles safety decay number exit

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Slide1

QUANTITATIVE IMAGING OF MULTI-COMPONENT TURBULENT JETS

Arash AshSupervisors:Dr. DjilaliDr. OshkaiInstitute for Integrated Energy SystemsUniversity of VictoriaICHS2011 – September 12th 2011Slide2

Safety Standards

The integration of a hydrogen gas storage has not been without its challenges.Flammable characteristics of Hydrogen results in the requirement of more robust, high pressure storage systems that can meet modern safety standards.Prior to the development of a hydrogen infrastructure, well-researched safety standards must be implemented to reduce the risk of uncontrolled leaks related to hydrogen storage. Slide3

H2 – Fuel Cell ApplicationSlide4

Project Motivation and Objectives

Perform series of well-defined experiments to generate data to guide development of engineering turbulence model suitable for rapid discharge simulations Objectivesexperimentally characterize the effects of buoyancy and cross-flow in a complex flow structureprovide a quantitative database that can be used for future concentration measurements and also to validate CFD modelsSlide5

Introduction

the momentum and buoyancy effects related to the rapid, uncontrolled release of hydrogen must be studied in detail to accurately determine the resultant dispersion.In this study, dispersion of a buoyant, turbulent, round jet in a quiescent and moving ambient at a wide range of Froude numbers was investigated. This study focuses on slow leaks which might take place in small-scaled hydrogen based systems.Slide6

Experimental Setup

Jet Apparatus:honeycomb settling chamberSharp-edged orificeNozzle Diameter = 2mmCross-flow assembly:11m/s ± 4%Laser:

Nd YAG 532 nmCCD camera: 1376 × 1040 pixels Slide7

Flow Conditions

Case

Q (lpm – H2

)

U

oc

(m/s)

Fr

Re

r164.4

318.33~1000526311.2243.4248.98

~750

4196

6.9

3

35.7

185.23

~500

3121

6.1

4

21

94.56~25015933.251218.86~503170.6Helium density and viscosity are 0.166 kg/m3 and 1.97E-05 kg/ms, respectively

Where

Fr

– Froude number, Dimensionless;

U

oc

– Jet centerline exit velocity, m/s;

g

– acceleration due to gravity, m

2

/s;

D

– Jet diameter, mm;

,

ρ

– Ambient air density, kg/m

3

and

ρ

j

– Jet exit density of helium, kg/m

3Slide8

PIV - Cross Correlation

Search Area

Original IA

Particles In image BSlide9

Results and DiscussionsSlide10

Velocity Fields

Free Jet

Jet in Cross - FlowSlide11

Jet Centerline

New coordinate systemJet CenterlineSlide12

Jet Centerline (Continue)

Free Jet

Jet in Cross-flowSlide13

Scaling Factors

Free Jet

Jet in Cross-flow

Where

first effects of buoyancy in case of Fr = 250 and 50, happens at approximately

x/L

M

= 0.16 and 0.61 which corresponds to

x/D

= 43 and 32 respectively. rD scalingscalingSlide14

Velocity Decays

Free JetJet in Cross-flow

Where:

U

oc

is mean nozzle exit velocity Slide15

Velocity Decay (Continue)

NCF = Free jetWCF = Jet in cross-flow

1. Decay rates are faster in cross- flowing jets2. In jet far-field region decay rates drop for jets in cross-flow3. Decay rate drops in Buoyancy dominated regionsSlide16

Turbulence Quantities

Free jetJet in cross-flow

Where,

Uc

is the time-averaged velocity magnitude along the jet centerlineSlide17

Conclusion

Effects of buoyancy and cross-flow were investigated in subsonic release of Helium,Mean and fluctuation velocity components were quantified using PIV,lowering the Froude number led to slower velocity decays due to the buoyancy-driven acceleration components in buoyancy dominated regions,Increasing effects of buoyancy were observed by reducing the Froude number,The present data can serve to validate computational models derived for investigating hydrogen safety scenarios.Slide18

Thank you

Questions?Slide19

Appendix

Initial Condition – Sharp-edged OrificeSlide20

Velocity Profiles

Free Jet Jet in cross-flowSlide21

Seeding - Stokes number

Seeding particles must:Match fluid propertiesNeutrally buoyantShort response time to flow motionReflectivityParticle Flow is dominated by Stokes drag:

For St>>1, particles will continue in a straight line regardless of fluid streamline but for St<<1, particles will follow the fluid streamlines closely.