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Large-eddy simulation in a mixing tee junction: High-order turbulent statistics analysis
Institution:1. Dept Fluid Mechanics, Energy and Environment, EDF R&D, Chatou, France;2. M2P2, CNRS, Aix-Marseille University, Ecole Centrale Marseille, France;1. School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, PR China;2. Science and Technology on Thermal Energy and Power Laboratory, Wuhan 430205, Hubei, PR China
Abstract:This study analyses the mixing and thermal fluctuations induced in a mixing tee junction with circular cross-sections when cold water flowing in a pipe is joined by hot water from a branch pipe. This configuration is representative of industrial piping systems in which temperature fluctuations in the fluid may cause thermal fatigue damage on the walls. Implicit large-eddy simulations (LES) are performed for equal inflow rates corresponding to a bulk Reynolds number Re = 39,080. Two different thermal boundary conditions are studied for the pipe walls; an insulating adiabatic boundary and a conducting steel wall boundary. The predicted flow structures show a satisfactory agreement with the literature. The velocity and thermal fields (including high-order statistics) are not affected by the heat transfer with the steel walls. However, predicted thermal fluctuations at the boundary are not the same between the flow and the solid, showing that solid thermal fluctuations cannot be predicted by the knowledge of the fluid thermal fluctuations alone. The analysis of high-order turbulent statistics provides a better understanding of the turbulence features. In particular, the budgets of the turbulent kinetic energy and temperature variance allows a comparative analysis of dissipation, production and transport terms. It is found that the turbulent transport term is an important term that acts to balance the production. We therefore use a priori tests to evaluate three different models for the triple correlation.
Keywords:Tee junction  Thermal fatigue  Turbulent statistics
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