1 / 20

Turbulent Natural Convection in Horizontal Coaxial Cylindrical Enclosures: LES and RANS Models

Turbulence, Heat and Mass Transfer 5 Dubrovnik, Sept 25-29, 2006 K. Hanjalić, Y. Nagano and S. Jakirlic (Editors). Turbulent Natural Convection in Horizontal Coaxial Cylindrical Enclosures: LES and RANS Models. Yacine Addad , Dominique Laurence, and Mike Rabbitt

zuzela
Download Presentation

Turbulent Natural Convection in Horizontal Coaxial Cylindrical Enclosures: LES and RANS Models

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. Turbulence, Heat and Mass Transfer 5 Dubrovnik, Sept 25-29, 2006 K. Hanjalić, Y. Nagano and S. Jakirlic (Editors) Turbulent Natural Convection in Horizontal Coaxial Cylindrical Enclosures: LES and RANS Models Yacine Addad, Dominique Laurence, and Mike Rabbitt (U. Manchester, EDF) (British Energy plc)

  2. Industrial Relevance: Advanced Gas Cooled Reactor (AGCR) • - Inner tubes carry water-steam in/out • Gap: hot CO2 thermosyphon flow • - Real case: 3 to 44 inner tubes, + support plates acting as baffles • + water cooling circuit • - RANS simulations at BE ltd. with conjugate heat transfer for casing and concrete temperatures • Question to U Man.: • validity of RANS for this type of flow

  3. Industrial Pb Simplification to 2D Case (axially homogeneous) RANS pre-study with imposed heat flux-T relation => Realistic simplification and comparable toRa=2.381010 Single cyl. heat sink Homogeneous heat sink

  4. Coaxial heated cylinders (2D-homogneous) study • LES validation and parametric test cases: • Case 0- Natural convection in square cavity (Ra=1.58  109) • Case 1- Natural convection in annular cavity (Ra=1.8109) • Case 2- Annular cavity single coaxial cylinder (Ra=2.381010) • Case 3- Annular cavity with 3 coaxial cylinders (Ra=2.381010) • Case 4- Flow in actual penetration cavity (bulk Re=620,000). Bishop 88, McLeod 89

  5. Previous work on Nat. Conv. in coaxial enclosures • - With LES, Miki et al. [4] : Smagorinsky constant < “conventional” 0.065 for proper rms T prediction but small effects on mean velocity and temperature • - RANS computations : Chakir et al. [5] , wall functions • Desai et al. [6] and Kumar [7] , Rayleigh number, Prandtl number radius ratio. Kenjereš and Hanjalić [8] : three equations k-e-2 • Numerical Methods and Models used here: • - STAR-CD 3.26 code (tested by Y.A. in LES mode on number of cases) • Full CD difference scheme for V. • For T: CD or localised blending (Mars) • Smagorinsky Cs =0,04 (with D=2 cell Vol. or Cs =0,08 for D= cell Vol.) + Van Driest damping, maximum t/=1.7 for lower Ra case. • PrtSGS= 0.4 or 0.9 • Coarse grid: 8020035 = 560,000 cells • + local refinement (fine grid) = 795,000 cells • RANS: k-e models, Launder Sharma and NL of Lien et al. [12], • k- model of Wilcox [13], SST k- model of Menter [14], • Gibson and Launder RSM closure [15] • (but simple eddy diffusivity model for heat flux).

  6. Coaxial Cylinder Ra=1.8109 Effect of Prt and convection scheme Mean Temperatures McLeod, Bishop89 Centred Diff. for V CD of Mars for T

  7. Coaxial Cylinder Ra=1.8109 Effect of Prt and convection scheme Rms Temperature Fluctuations • Prt-SGS = 0.9 and Centred • seems best (although 0.4 common) • Mars scheme OK except wall value

  8. Case-1: Grid resolution and Prt effects 0 mean rms Prt=0.9 now overestimates rms temp. But Prt=0.4 still gives very low wall value local refinement

  9. Comparison with 2 eqn models Velocity magnitude Temperature T.k.e Ra =1.18109 Ro/Ri = 3.36

  10. Intermittency and transition (Ra=1.8109) Iso-values of temperature Monitor point SGS visc/Molecular visc.<1.7 on coarse grid time

  11. Case 2: Higher Ra=2.381010 , and 3 cylinder case Intantaneous T Levels More turbulence activity CASE-2: Ra=2.3810E+10 CASE-3: Ra=2.3810E+10 NB: inner cylinder now cooled (upside down / case 1)

  12. Comparison to Low-Re RANS models predictions Streamlines Temperature distribution RANS models show less stratified flow in upper part (plume overshoot) Ra =2.381010 Ro/Ri = 3.37

  13. Case 1 & 2: Nusselt Number (LES)

  14. Case-3: Three coaxial cylinders • Hexa and Tetra cells in the centre • Total n. cells: 600,000 • Star-CD version 3.24 Ra =2.381010 Ro/Ri = 3.37 Combined cold plumes effect Less visible with k-e

  15. New, Finer Polyhedral Mesh for LES • Polyhedral cells in the centre, • and (2:3) Local refinement near • the walls using hexahedral cells • Channel & Pipe flow => more accurate • Total n. cells: 1.6 million • Star-CD version 4.00

  16. Fine Polyhedral Mesh Results (LES) T rms • Less hot plume overshoot • Top: • No mean motion, no turbulence • What causes « mixing » and • Rms T between top cylinders? Mean T turb. k. e. V. mag.

  17. Fine Mesh LES/RANS comparison • - All RANS show stratification • between top cylinders • RSM and k-w: too strong hot plume overshoot • LES and k-wdo not show combined cold plumes effect RANS LES RANS

  18. Fine Mesh LES/RANS comparison Mean Velocity Magnitude With WF, BL plume too thick and dynamic, RSM especially (overshoot) LES RANS

  19. Instantaneous and rms Temperature Instant. Temp. V mag.

  20. Conclusions • Single cylinder case, • Ra = 2 109too low, (intermittency, transition) • Ra = 2 1010 more relevant to ind. case • All RANS models exaggerate outer hot plume overshoot • SST or k- model might be recommended (but by chance ?) • Three Cylinder case: more complex ! • Dam effect between top cylinder pair • Mixing only apparent, due to gravity waves and dam overtopping • Would require more advanced RANS model: • q2- equation and RSM • Transient-RANS (Kenjeres, Hanjalic) • LES: • Unstructured useful not only for geometry, but also for embedded refinement. • Need to remove uncertainty due to Van Driest and Prt. Issue (Dynamic model) This work was supported by British Energy plc. and partially from the EPSRC-KNOO project.

More Related