Numerical Simulation about Reconstruction of the Boundary Layer

Yan Li, Chuan Li, Yajie Wu, Cong Liu, Han Yuan and Ning Mei
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Yan Li: Department of Mechanical Engineering, Ocean University of China, Qingdao 266100, Shandong, China
Chuan Li: Department of Mechanical Engineering, Ocean University of China, Qingdao 266100, Shandong, China
Yajie Wu: Department of Mechanical Engineering, Ocean University of China, Qingdao 266100, Shandong, China
Cong Liu: Department of Mechanical Engineering, Ocean University of China, Qingdao 266100, Shandong, China
Han Yuan: Department of Mechanical Engineering, Ocean University of China, Qingdao 266100, Shandong, China
Ning Mei: Department of Mechanical Engineering, Ocean University of China, Qingdao 266100, Shandong, China

Energies, 2017, vol. 10, issue 12, 1-11

Abstract: In this paper, the reconstruction mechanism of the boundary layer in the channel is studied using the lattice Boltzmann method (LBM). By comparing the distribution of velocity in the channel, the conclusion that LBM has feasibility and superiority is obtained. Based on this, a physical model of square cylinders is set up to simulate the velocity distribution and the effect on the thickness of boundary layer. When the square cylinder moves at a certain speed, the velocity distribution in the flow field changes drastically. As well, it is found that the thickness of the boundary layer decreases with the cylinders’ height increasing in the given range. Furthermore, double cylinders model is also set up, and the results show that the optimal interval distance of the cylinders is between 90 and 140 lattice units. It is found that the moving cylinders have a significant effect on the thickness of the boundary layer, which will change the fluid flow and enhance the heat transfer.

Keywords: lattice Boltzmann method (LBM); moving cylinders; reconstruction; the optimal interval distance; thickness of boundary layer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
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