Journal
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
Volume 120, Issue -, Pages 624-634Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijheatmasstransfer.2017.12.052
Keywords
CLBM; Incompressible flows; Thermal flows
Categories
Funding
- MOST National Key Research and Development Programme [2016YFB0600805]
- China Postdoctoral Science Foundation [2017M620757]
- Center for Combustion Energy at Tsinghua University
- Tsinghua National Laboratory for Information Science and Technology
- ARCHER under EPSRC project UK Consortium on Mesoscale Engineering Sciences (UKCOMES) [EP/L00030X/1]
- Engineering and Physical Sciences Research Council [EP/L00030X/1] Funding Source: researchfish
- EPSRC [EP/L00030X/1] Funding Source: UKRI
Ask authors/readers for more resources
In this paper, a central-moments-based lattice Boltzmann method (CLBM) for incompressible thermal flows is proposed. In the method, the incompressible Navier-Stokes equations and the convection diffusion equation for the temperature field are solved separately by two different CLB equations. Through the Chapman-Enskog analysis, the macroscopic governing equations for incompressible thermal flows can be reproduced. The consistent forcing scheme (Fei and Luo, 2017) is adopted to incorporate forcing effect, and the implementation for CLBM is simplified by using simplified raw-moment sets. Compared with several D2Q5 multiple-relaxation-time(MRT) lattice Boltzmann methods for the temperature equation, the proposed method is shown to be better Galilean invariant through measuring the thermal diffusivities on a moving reference frame. Numerical simulations for several typical problems confirm the accuracy, efficiency, and stability of the present method. The grid convergence tests indicate that the proposed CLBM for incompressible thermal flows is of second-order accuracy in space. (C) 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available