多孔介质的孔隙特性对气体扩散过程影响的直接数值模拟

doi:10.3969/j.issn.0438-1157.2013.04.017

化工学报 ›› 2013, Vol. 64 ›› Issue (4): 1242-1248.DOI: 10.3969/j.issn.0438-1157.2013.04.017

多孔介质的孔隙特性对气体扩散过程影响的直接数值模拟

李莎¹, 雍玉梅¹, 尹小龙², 杨超¹

1. 中国科学院过程工程研究所,北京100190;
2. 美国科罗拉多矿业大学石油工程系, Golden, CO 80402

收稿日期:2012-07-17 修回日期:2012-09-18 出版日期:2013-04-05 发布日期:2013-04-05
通讯作者: 雍玉梅
作者简介:李莎(1987—),女,硕士研究生。
基金资助:
国家自然科学基金项目(20976177, 20990224, 21276256);国家杰出青年科学基金项目(21025627);国家重点基础研究发展计划项目(2009CB623406)。

Numerical simulation for influence of pore characteristics on gas diffusion in porous media

LI Sha¹, YONG Yumei¹, YIN Xiaolong², YANG Chao¹

1. Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China;
2. Petroleum Engineering Department, Colorado School of Mines, Golden, Colorado 80402, USA

Received:2012-07-17 Revised:2012-09-18 Online:2013-04-05 Published:2013-04-05
Supported by:
supported by the National Natural Science Foundation of China(20976177, 20990224, 21276256),the National Science Fund for Distinguished Young Scholars(21025627) and the National Basic Research Program of China(2009CB623406).

摘要/Abstract

关键词: 多孔介质, 微结构, 扩散, 格子Boltzmann方法

Abstract: Micro-structure of porous medium that approximates natural porous medium is generated stochastically by numerical method.Numerical simulation of gas diffusion in porous media is implemented with LTRT lattice Boltzmann method to investigate the effects of pore characteristics on diffusion process.It is demonstrated that diffusion processes are quite different in different porous micro-structures with the same porosity.The results also show that the dimension of the width of channels influences the diffusion.The diffusion rates increase as the channel width increases.The effect resulted from the variation of channel width and porosity in the diffusion process is far less than that for different pore structures.The influence caused by the variation of radii of filleted corners is little.These explorations provide theoretical basis and statistical support for the generation of porous media and the design and optimization of the pore characteristics of micro-reactor.

Key words: porous media, micro-structure, diffusion, lattice Boltzmann method

中图分类号:

TQ022.1

李莎, 雍玉梅, 尹小龙, 杨超. 多孔介质的孔隙特性对气体扩散过程影响的直接数值模拟[J]. 化工学报, 2013, 64(4): 1242-1248.

LI Sha, YONG Yumei, YIN Xiaolong, YANG Chao. Numerical simulation for influence of pore characteristics on gas diffusion in porous media[J]. CIESC Journal, 2013, 64(4): 1242-1248.

参考文献 20

[1]	Jahanshahi Javaran E, Gandjalikhan Nassab S A, Jafari S. Thermal analysis of a 2-D heat recovery system using porous media including lattice Boltzmann simulation of fluid flow[J].Int.J.Therm.Sci., 2010, 49(6):1031-1041
[2]	Yoshida H, Nagaoka M. Multiple-relaxation-time lattice Boltzmann model for the convection and anisotropic diffusion equation[J].J. Comput.Phys., 2010, 229(20):7774-7795
[3]	Yu Boming(郁伯铭).Advances of fractal analysis of transport properties for porous media[J].Advances in Mechanics(力学进展),2003, 33(3):333-340
[4]	Hilfer R.Review on scale dependent characterization of the microstructure of porous media[J].Transport Porous Med., 2002, 46(2/3):373-390
[5]	Chen S, Doolen G D. Lattice Boltzmann method for fluid flows[J].Annu. Rev. Fluid. Mech., 1998, 30(1):329-364
[6]	Zhang Ting(张婷), Guo Zhaoli(郭照立), Chai Zhenhua(柴振华), Shi Baochang(施保昌).Lattice Boltzmann method for simulating carbon dioxide capture with Ca-based sorbent[J].CIESC Journal(化工学报),2012,63(S1):165-171
[7]	Wang Guanqing(王关晴), Luo Dan(罗丹), Ding Ning(丁宁), Huang Xuefeng(黄雪峰), Xu Jiangrong(徐江荣). Two-dimensional combustion flame profiles in porous media with ultra low-calorific gases[J]. CIESC Journal(化工学报),2012, 63(6):1893-1901
[8]	Nie X, Doolen G D, Chen S. Lattice-Boltzmann simulations of fluid flows in MEMS[J].J. Stat. Phys., 2002, 107(1/2):367-383
[9]	Kang Q J, Lichtner P C, Janecky C R. Lattice Boltzmann method for reacting flow in porous media[J].Adv. Appl. Mech., 2010, 2(5):545-563
[10]	Succi S, Foti E, Higuera F. Three-dimensional flows in complex geometries with the lattice Boltzmann method[J].Europhys. Lett., 1989, 10(5):433-438
[11]	Martys N S, Chen H. Simulation of multicomponent fluids [JP3]in complex three-dimensional geometries by the lattice Boltzmann method[J].Phys. Rev. E, 1996, 53(1):743-750
[12]	Guyer R A, McCall K R. Lattice Boltzmann description of magnetization in porous media[J].Phys. Rev. B, 2000, 62(6):3674-3688
[13]	Ginzburg I. Equilibrium-type and link-type lattice Boltzmann models for generic advection and anisotropic-dispersion equation[J].Adv. Water Resour., 2005, 28(11):1171-1195
[14]	Servan-Camas B, Tsai F T-C. Lattice Boltzmann method with two relaxation times for advection-diffusion equation:third order analysis and stability analysis[J].Adv. Water Resour., 2008, 31(8):1113-1126
[15]	Guo Z L, Zheng C G, Shi B C. An extrapolation method for boundary conditions in lattice Boltzmann method[J].Phys. Fluids, 2002, 14(6):2007-2010
[16]	Petersen E E. Diffusion in a pore of varying cross section[J].AIChE J., 1958, 4(3):343-345
[17]	Shen L, Chen Z. Critical review of the impact of tortuosity on diffusion[J].Chem. Eng. Sci., 2007, 62(14):3748-3755
[18]	Sweerts J P, Kelly C A, Rudd J W, Hesslein R, Cappenberg T E. Similarity of whole-sediment molecular diffusion coefficients in freshwater sediments of low and high porosity[J].Limnolo Oceanogr., 1991, 36(2):335-342
[19]	Iversen N, Jorgensen B B. Diffusion coefficients of sulfate and methane in marine sediments:influence of porosity[J].Geochim. Cosmochim. Acta, 1993, 57(3):571-578
[20]	Wu M, Xiao F, Johnson-Paben R M, Retterer S T, Yin X, Neeves K B. Single- and two-phase flow in microfluidic porous media analogs based on Voronoi tessellation[J].Lab Chip., 2012, 12(2):253-361

多孔介质的孔隙特性对气体扩散过程影响的直接数值模拟

Numerical simulation for influence of pore characteristics on gas diffusion in porous media

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