Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
권호 표지
DOI QR코드

DOI QR Code

TOWARD AN ACCURATE APPROACH FOR THE PREDICTION OF THE FLOW IN A T-JUNCTION: URANS

  • Merzari, E. (Department of Nuclear Engineering, Tokyo Institute of Technology) ;
  • Khakim, A. (Department of Nuclear Engineering, Tokyo Institute of Technology) ;
  • Ninokata, H. (Department of Nuclear Engineering, Tokyo Institute of Technology) ;
  • Baglietto, E. (CD-Adapco)
  • Published : 2009.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this study, a CFD methodology is employed to address the problem of the prediction of the flow in a T-junction. An Unsteady Reynolds Averaged Navier-Stokes (URANS) approach has been selected for its low computational cost. Moreover, Unsteady Reynolds Navier-Stokes methodologies do not need complex boundary formulations for the inlet and the outlet such as those required when using Large Eddy Simulation (LES) or Direct Numerical Simulation (DNS). The results are compared with experimental data and an LES calculation. In the past, URANS has been tried on T-junctions with mixed results. The biggest limit observed was the underestimation of the oscillatory behavior of the temperature. In the present work, we propose a comprehensive approach able to correctly reproduce the root mean square (RMS) of the temperature directly downstream of the T-junction for cases where buoyancy is not present.

Keywords

References

  1. T. Kawamura et al., “Experimental study on thermal striping in mixing tees with hot and cold water”, ICONE 10, April 14-18, 2002
  2. N. Fukushima, K. Fukugata, N. Kasagi, H.Noguchi, K. Tanimoto, “Numerical and Experimental Study on Turbulent Mixing in a T-junction Flow”, 6th Joint ASME-JSME Thermal Engineering Joint Conference, March 16-20, 2003
  3. A.K. Kuczaj, B. de Jager and E. Komen, “An assessment of Large-Eddy Simulation for thermal fatigue Prediction”, ICAPP’08, United States, 2008
  4. Hu, L.W., Kazimi, M.S., “Large Eddy Simulation of Water Coolant Thermal Striping in a Mixing Tee Junction,” NURETH-10, Seoul, Korea, October 5-9, 2003
  5. J. Westin et al. “Experiments and Unsteady CFD-Calculations of Thermal Mixing in a T-Junction”, CFD4NRS, Garching, 5-7 September, 2006
  6. H. Ha Minh, “La Mod$\acute{e}$lisation Statistique de la Turbulence: Ses Capacit$\acute{e}$s et ses Limitations”, Comptes rendu de l'Academie des Sciences, 327, pp. 343-358 (1999) https://doi.org/10.1016/S1287-4620(99)80074-X
  7. E. Merzari, E. Baglietto and H. Ninokata, $\ll$LES simulation of the flow in a T-junction$\gg$, ICAPP'09, Tokyo, Japan, May 11th - May 15th 2009
  8. A. Smirnov, S. Shi and I. Celik. “Random Flow Generation Technique for Large Eddy Simulations and Particle-Dynamics Modeling.” Trans. ASME. Journal of Fluids Engineering, 123, 359-371 (2001) https://doi.org/10.1115/1.1369598
  9. R. Zboray, A. Manera, B. Niceno and H.M. Prasser, “Investigations on Mixing Phenomena in Single-Phase Flows in a T-junction Geometry”, Nureth-12, Pittsburgh, USA Sept. 30-Oct. 4, 2007
  10. E. Baglietto and H.Ninokata, “Anisotropic Eddy Viscosity Modeling for Application in Industrial Engineering Internal Flows”, Int. J. Transport Phenomena, 8 (2006)
  11. J. Hsieh, F. S. Lien and E. Yee, “Numerical modeling of passive scalar dispersion in an urban canopy layer”, Journal of Wind Engineering and Industrial Aerodynamics, 95, 1611 (2007) https://doi.org/10.1016/j.jweia.2007.02.028
  12. Z. Warhaft, “Passive scalars in turbulent flows”, Annu. Rev. Fluid Mech., 32, 203-240 (2000) https://doi.org/10.1146/annurev.fluid.32.1.203
  13. STAR-CCM+ 2.10 User guide
  14. STAR-CD 4.06 Methodology Guide
  15. R.I. Issa, “Solution of the implicitly discretised fluid flow equations by operator-splitting”, J. Comp. Phys., Vol. 62, pp. 40–65 (1986) https://doi.org/10.1016/0021-9991(86)90099-9
  16. P.R. Spalart and S. R. Allmaras, “A one-equation turbulence model for aerodynamic flows”, 30th AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV; United States; 6-9 Jan. 1992
  17. Craft, T.J., Launder, B.E., and Suga, K. 1993. 'Extending the applicability of eddy viscosity models through the use of deformation invariants and non-linear elements”, Proc. $5^{th}$ Int. Symp. on Refined Flow Modelling and Turbulence Measurements, pp. 125-132
  18. J. Hunt, A. A. Wray, P. Moin, “Eddies, Streams and convergence zones in turbulent flows”, Report CTR-S88, Center for turbulence Research - Stanford university (1988)
  19. Th. Frank, M. Adlakha, C. Lifante, H.-M. Prasser, F. Menter, “Simulation of Turbulent and Thermal Mixing in TJunctions Using URANS and Scale-Resolving Turbulence Models in ANSYS CFX”, CFD4NRS, Grenoble, 2008
  20. C. Walker, M. Simiano, R. Zboray and H.-M. Prasser, “Investigations on mixing phenomena in single-phase flow in a T-junction geometry”, Nuclear Engineering and Design, 239, 116-126 (2009) https://doi.org/10.1016/j.nucengdes.2008.09.003
  21. B.E. Launder and D.B Spalding, “The numerical computation of turbulent flows”, Comp. Meth. in Appl. Mech. and Eng., 3, 269-289 (1974) https://doi.org/10.1016/0045-7825(74)90029-2
  22. J. L. Lumley, "Toward a turbulent constitutive relation", J. Fluid Mechanics, 41, 413-434 (1970) https://doi.org/10.1017/S0022112070000678