1 / 21

QUANTITATIVE IMAGING OF MULTI-COMPONENT TURBULENT JETS

QUANTITATIVE IMAGING OF MULTI-COMPONENT TURBULENT JETS. Arash Ash Supervisors: Dr. Djilali Dr. Oshkai Institute for Integrated Energy Systems University of Victoria ICHS2011 – September 12 th 2011. Safety Standards.

etenia
Télécharger la présentation

QUANTITATIVE IMAGING OF MULTI-COMPONENT TURBULENT JETS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. QUANTITATIVE IMAGING OF MULTI-COMPONENT TURBULENT JETS Arash Ash Supervisors: Dr. Djilali Dr. Oshkai Institute for Integrated Energy Systems University of Victoria ICHS2011 – September 12th 2011

  2. 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.

  3. H2 – Fuel Cell Application

  4. 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 • Objectives • experimentally characterize the effects of buoyancy and cross-flow in a complex flow structure • provide a quantitative database that can be used for future concentration measurements and also to validate CFD models

  5. 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.

  6. Experimental Setup • Jet Apparatus: • honeycomb settling chamber • Sharp-edged orifice • Nozzle Diameter = 2mm • Cross-flow assembly: • 11m/s ± 4% • Laser: Nd YAG 532 nm • CCD camera: 1376 × 1040 pixels

  7. Flow Conditions Where Fr – Froude number, Dimensionless;Uoc– Jet centerline exit velocity, m/s; g – acceleration due to gravity, m2/s; D – Jet diameter, mm; , ρ – Ambient air density, kg/m3 and ρj – Jet exit density of helium, kg/m3

  8. PIV - Cross Correlation Particles In image B Original IA Search Area

  9. Results and Discussions

  10. Velocity Fields • Free Jet • Jet in Cross - Flow

  11. Jet Centerline • New coordinate system • Jet Centerline

  12. Jet Centerline (Continue) Free Jet Jet in Cross-flow

  13. Scaling Factors Jet in Cross-flow Free Jet first effects of buoyancy in case of Fr = 250 and 50, happens at approximately x/LM = 0.16 and 0.61 which corresponds to x/D = 43 and 32 respectively. rD scaling scaling Where

  14. Velocity Decays Free Jet Jet in Cross-flow Where: Uoc is mean nozzle exit velocity

  15. Velocity Decay (Continue) 1. Decay rates are faster in cross- flowing jets 2. In jet far-field region decay rates drop for jets in cross-flow 3. Decay rate drops in Buoyancy dominated regions NCF = Free jet WCF = Jet in cross-flow

  16. Turbulence Quantities Free jet Jet in cross-flow Where,Ucis the time-averaged velocity magnitude along the jet centerline

  17. 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.

  18. Thank you Questions?

  19. Appendix • Initial Condition – Sharp-edged Orifice

  20. Velocity Profiles Free Jet Jet in cross-flow

  21. Seeding - Stokes number • Seeding particles must: • Match fluid properties • Neutrally buoyant • Short response time to flow motion • Reflectivity Particle 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.

More Related