Passive heat transfer in a turbulent channel flow simulation using large eddy simulation based on the lattice Boltzmann method framework |
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| Institution: | 1. School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2. School of Mechanical Engineering, Southeast University, Nanjing 211189, China;3. State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, China;1. College of Information Science and Engineering, Hunan University, Changsha, China;2. National Supercomputing Center in Changsha, Changsha, China;1. College of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;2. Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA |
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| Abstract: | In this paper, a large eddy simulation based on the lattice Boltzmann framework is carried out to simulate the heat transfer in a turbulent channel flow, in which the temperature can be regarded as a passive scalar. A double multiple relaxation time (DMRT) thermal lattice Boltzmann model is employed. While applying DMRT, a multiple relaxation time D3Q19 model is used to simulate the flow field, and a multiple relaxation time D3Q7 model is used to simulate the temperature field. The dynamic subgrid stress model, in which the turbulent eddy viscosity and the turbulent Prandtl number are dynamically computed, is integrated to describe the subgrid effect. Not only the strain rate but also the temperature gradient is calculated locally by the non-equilibrium moments. The Reynolds number based on the shear velocity and channel half height is 180. The molecular Prandtl numbers are set to be 0.025 and 0.71. Statistical quantities, such as the average velocity, average temperature, Reynolds stress, root mean square (RMS) velocity fluctuations, RMS temperature and turbulent heat flux are obtained and compared with the available data. The results demonstrate great reliability of DMRT–LES in studying turbulence. |
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