LBM numerical study on oscillating flow and heat transfer in porous media
LBM numerical study on oscillating flow and heat transfer in porous media
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多孔介质中振荡流与传热的LBM数值研究
DOI：
10.1016/j.applthermaleng.2013.01.020
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发表时间：
2013-05
影响因子：
6.4
通讯作者：
Yang, Luwei
中科院分区：
文献类型：
--
作者：
Dai, Qunte;Yang, Luwei
回热式制冷机内的振荡流动和换热特性对制冷机性能的优化具有重要意义。采用格子Boltzmann方法（LBM）对这类系统进行了数值研究。模拟工作首先在二维空平面通道中进行，然后在多孔介质中进行。振荡流动由周期性压力波驱动，具有等温或绝热的平面壁。耦合双分布函数模型，这是一个典型的热LBM，被用来研究的热流体动力学问题。作为一个关键步骤，外推和反弹格式被用来处理边界。仿真结果表明，在本研究中的LBM的实施是一个很大的有效性。LBM将作为一个有前途的方法预测回热式制冷机，如脉冲管制冷机的流动和传热特性。在这项工作中，特征系统参数对流体流动和传热的影响进行了研究。系统的行为，特别是在多孔介质中的详细信息，也包括在本文中。
Oscillating flow and heat transfer in regenerative cryocoolers, are very important for the optimization of cryocooler's performance. A numerical study was conducted in such a system by Lattice Boltzmann Method (LBM), which is an efficiently new way compared to that of the traditional continuum Navier–Stokes method. The simulation work was firstly developed in a two-dimensional empty planar channel, and then followed by porous media. The oscillating flow is driven by a periodic pressure wave, with the isothermal or adiabatic planar wall. A coupled double distribution function model, which is one of the typical thermal LBMs, is used to investigate the thermo-hydrodynamics problem. As a key step, the extrapolation and bounce back schemes are used to treat the boundaries. The simulation results have shown a great effectiveness of the implementation of the LBM in the present study. LBM would serve as a promising method for predicting flow and heat transfer characteristics in regenerative cryocoolers, such as pulse tube cryocoolers. In this work, the effects of the characteristic system parameters on the fluid flow and the heat transfer are investigated. Detailed information for system behavior, especially in porous media, are also included in this paper.
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DOI：
10.1103/physreve.66.036301
发表时间：
2000-11
期刊：
Physical review. E, Statistical, nonlinear, and soft matter physics
影响因子：
--
作者：
S. Abarzhi
通讯作者：
S. Abarzhi
DOI：
10.1016/j.ijheatmasstransfer.2007.11.045
发表时间：
2008-07
影响因子：
5.2
作者：
N. Jeong;D. Choi;Ching-Long Lin
通讯作者：
N. Jeong;D. Choi;Ching-Long Lin
影响因子：
4.6
作者：
D. Henningson
通讯作者：
D. Henningson
影响因子：
1.9
作者：
Yong Wang;Ya-Ling He;G. Tang;W. Tao
通讯作者：
Yong Wang;Ya-Ling He;G. Tang;W. Tao
影响因子：
9.2
作者：
J. W. Park;M. Matsubara;Xianguo Li
通讯作者：
J. W. Park;M. Matsubara;Xianguo Li