Numerical Simulation of Non-Isothermal Mixing Flow Characteristics with ELES Method
Source abstract
Abstract
Thermal fatigue caused by turbulent thermal mixing in tee pipes is always one of the failure factors of industrial pipes. At present, computational fluid dynamics (CFD) is still the main research method to study the thermal fatigue mechanism. Due to the limitations of the large eddy simulation (LES) model and the classical Reynolds Averaged Navier–Stokes (RANS) model in simulating thermal mixing, an advanced Embedded LES (ELES) model was developed. By comparing the model with data in the open literature, the validity of the ELES model to iso-thermal mixing was evaluated and proven. After that, the flow characteristics of the backflow upstream with different momentum ratios (MR) were studied using the ELES method, as well as the temperature characteristics near the wall where the backflow appears. It was found that the characteristics of the backflow and the temperature distribution upstream in the tee were different with different MR values and some regions under specified MR values are found to be more prone to thermal fatigue at the intersection of the tee upstream. Moreover, the frequency analysis at specified points near the wall under three different MR values was estimated to evaluate thermal fatigue and the results showed that long-period fluctuations of lower frequencies than 6 Hz upstream were observed. This work helps form a comprehensive understanding of the backflow in thermal mixing and the relationship between fatigue and backflow in the tee.
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Research context
OpenAlex topics: Nuclear Engineering Thermal-Hydraulics · Heat transfer and supercritical fluids · Combustion and Detonation Processes
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Aircraft Environment Control and Life Support, MIIT, Nanjing University of Aeronautics and Astronautics, 29 Yudao St., Nanjing 210016, China
Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration, Nanjing 211106, China
China National Aeronautical Radio Electronics Research Institute, Shanghai 200241, China
References (43)
Show source-provided references
1. Blondet, E., and Faidy, C. (2002, January 14–18). High Cycle Thermal Fatigue in French PWR. Proceedings of the ASME 10th International Conference on Nuclear Engineering, Arlington, VA, USA.10.1115/ICONE10-22762 ↗
2. Gelineau, O., Escaravage, C., Simoneau, J.P., and Faidy, C. (2001, January 12–17). High cycle thermal fatigue: Experience and state of the art in French LMFRs. Proceedings of the SMiRT16, Washington, DC, USA. Paper ID 1311.
3. Simoneau, J.P., Noe, H., and Menant, B. (1995, January 10–15). Large eddy simulation of mixing between hot and cold sodium flows—Comparison with experiments. Proceedings of the 7th International Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-7), Saratoga, CA, USA.10.2172/107780 ↗
4. Wakamatsu, M., Hirayama, H., Kimura, K., Ogura, K., Shiina, K., Tanimoto, K., Mizutani, J., Minami, Y., Moriya, S., and Madarame, H. (2003, January 20–23). Study on high-cycle fatigue evaluation for thermal striping in mixing tees with hot and cold water (1). Proceedings of the 11th International Conference on Nuclear Engineering, Tokyo, Japan. Paper ID ICONE11-36208.10.1299/jsmeicone.2003.263 ↗
5. Study on mixing behavior in a tee piping and numerical analyses for evaluation of thermal striping10.1016/j.nucengdes.2008.09.005 ↗
6. Simulation of turbulent and thermal mixing in T-junctions using URANS and scale-resolving turbulence models in ANSYS CFX10.1016/j.nucengdes.2009.11.008 ↗
7. LES benchmark study of high cycle temperature fluctuations caused by thermal striping in a mixing tee10.1016/j.ijheatfluidflow.2005.08.001 ↗
8. Odemark, Y., Green, T.M., Angele, K., Westin, J., Alavyoon, F., and Lundström, S. (2009, January 12–16). High-cycle thermal fatigue in mixing tees: New Large-Eddy Simulations validated against new data obtained by PIV in Vattenfall experiment. Proceedings of the ICONE17Proceedings, Brussels, Belgium.10.1115/ICONE17-75962 ↗
9. Tanaka, M., and Miyake, Y. (2014, January 7–11). Numerical Investigation on Thermal Striping Phenomena in a T-Junction Piping System. Proceedings of the 2014 22nd International Conference on Nuclear Engineering, Prague, Czech Republic.10.1115/ICONE22-30683 ↗
10. Numerical simulation of long-period fluid temperature fluctuation at a mixing tee for the thermal fatigue problem10.1016/j.nucengdes.2016.06.024 ↗
11. Numerical analysis of thermal striping induced high cycle thermal fatigue in a mixing tee10.1016/j.nucengdes.2008.06.014 ↗
12. Suitability of wall-functions in large eddy simulation for thermal fatigue in a T-junction10.1016/j.nucengdes.2010.05.026 ↗
13. Computational study of con-jugate heat transfer in T-junctions10.1016/j.nucengdes.2010.02.022 ↗
14. A hybrid RANS-LES model for combining flows in open-channel T-junctions10.1016/S1001-6058(09)60186-4 ↗
15. Flow and heat transfer in cross-stream type T-junctions: A computational study10.1016/j.ijheatfluidflow.2018.03.013 ↗
16. Swirling flow in a tube with variably-shaped outlet orifices: An LES and VLES study10.1016/j.ijheatfluidflow.2014.05.008 ↗
17. Wilcox, D.C. (2006). Turbulence Modeling for CFD, DCW Industries Inc.. [3rd ed.].
18. Hanjalic, K., and Launder, B. (2011). Modelling Turbulence in Engineering and the Environment, Cambridge University Press.10.1017/CBO9781139013314 ↗
19. Menter, F.R. (2012). Best Practice: Scale-Resolving Simulations in ANSYS CFD, ANSYS Germany GmbH.
20. Spalart, P.R., Jou, W., Strelets, M., and Allmaras, S. (1997, January 4–8). Comments on the feasibility of LES for wings, and on a hybrid RANS/LES approach. Proceedings of the First AFOSR International Conference on DNS/LES, Ruston, LA, USA.
21. Hybrid LES-RANS using synthesized turbulent fluctuations for forcing in the interface region10.1016/j.ijheatfluidflow.2006.02.025 ↗
22. Detached eddy simulation of turbulent and thermal mixing in a T-junction10.1016/j.anucene.2018.10.006 ↗
23. Turbulent Flows
24. ANSYS (2017). ANSYS FLUENT-17 User Manual, ANSYS Inc.
25. A Hybrid RANS-LES Approach with Delayed-DES and Wall-Modelled LES Capabilities10.1016/j.ijheatfluidflow.2008.07.001 ↗
26. General Circulation Experiments with the Primitive Equations. I. The Basic Experiment10.1175/1520-0493(1963)091<0099:GCEWTP>2.3.CO;2 ↗
27. Model Consistency in Large-Eddy Simulation of Turbulent Channel Flow10.1063/1.866635 ↗
28. Numerical study on subcooled water jet impingement cooling on superheated surfaces10.1016/j.csite.2022.101883 ↗
29. Assessment of RANS turbulence models on predicting supercritical heat transfer in highly buoyant horizontal flows10.1016/j.csite.2022.102057 ↗
30. Georgiadis, N.J., Yoder, D.A., Towne, C.S., Engblom, W.A., Bhagwandin, V.A., Power, G.D., Lankford, D.W., and Nelson, C.C. (2009, January 5–8). Wind-US Code Physical Modeling Improvements to Complement Hypersonic Testing and Evaluation. Proceedings of the 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition, Orlando, FL, USA.10.2514/6.2009-193 ↗
31. Large-eddy simulation of turbulent flow and structures in a square duct roughened with perpendicular and V-shaped ribs10.1063/1.4985715 ↗
32. Addad, Y., Gaitonde, U., Laurence, D., and Rolfo, S. (2008). Optimal Unstructured Meshing for Large Eddy Simulations. Quality and Reliability of Large-Eddy Simulations, Springer.10.1007/978-1-4020-8578-9_8 ↗
33. Large-Eddy Simulation study of turbulent mixing in a T-junction10.1016/j.nucengdes.2009.11.027 ↗
34. Mathey, F., Cokljat, D., Bertoglio, J.P., and Sergent, E. (2003, January 12–17). Specification of LES Inlet Boundary Condition Using Vortex Method. Proceedings of the 4th International Symposium on Turbulence, Heat and Mass Transfer, Antalya, Turkey.
35. Numerical diffusion in single-phase multi-dimensional thermal-hydraulic analysis10.1016/0029-5493(90)90384-A ↗
36. Experimental Observations of Thermal Mixing Characteristics in T-junction Piping
37. Investigating thermal mixing and reverse flow characteristics in a T-junction by way of experiments10.1016/j.applthermaleng.2016.02.009 ↗
38. Experimentally investigating the thermal mixing and thermal stripping characteristics in a T-junction10.1016/j.applthermaleng.2016.10.157 ↗
39. Investigating effects of injection angles and velocity ratios on thermal-hydraulic behavior and thermal striping in a T-junction10.1016/j.ijthermalsci.2017.12.016 ↗
40. Mean pressure distributions around a circular cylinder in the branch of a T-junction with/without vanes10.1016/j.applthermaleng.2014.12.025 ↗
41. A CFD benchmarking exercise based on flow mixing in a T-junction10.1016/j.nucengdes.2013.02.030 ↗
42. Scale resolved simulations of the OECD/NEA–Vattenfall T-junction benchmark10.1016/j.nucengdes.2013.08.021 ↗
43. An investigation of wall temperature characteristics to evaluate thermal fatigue at a T-junction pipe10.1299/mej.2014tep0050 ↗