A sub-pore model for multi-scale reaction-diffusion problems in porous media

被引:2
|
作者
Nagendra, Krishnamurthy
Tafti, Danesh K. [1 ]
机构
[1] Virginia Tech, Dept Mech Engn, Blacksburg, VA 24061 USA
关键词
Reaction-diffusion systems; Surface adsorption; Heat and mass diffusion; Knudsen effects; Porous media; IMMOBILIZED GLUCOSE-ISOMERASE; PACKED-BED REACTORS; NETWORK MODEL; TIME INTEGRATION; HEAT-TRANSFER; DEACTIVATION; SIMULATIONS; ADSORPTION; FLOW; CHAR;
D O I
10.1016/j.ijheatmasstransfer.2014.12.034
中图分类号
O414.1 [热力学];
学科分类号
摘要
Applications of reaction-diffusion systems in porous media pose a challenging problem for computational modeling approaches due to their multi-physics and multi-scale nature. The length scales usually span 3-4 orders of magnitude while physical phenomena involved include heat and mass transfer processes, and surface reactions. In this paper, a novel methodology that accounts for all the length scales and physical phenomena involved in a single framework is described. A length scale based dual approach is proposed - the larger pore channels (macro-pores) are resolved using conventional numerical techniques and a novel 'sub-pore' model is used to account for the unresolved pore channels (sub-pores) and the important physics therein. The porous network in the sub-pore system is composed of a fractal-like hierarchical system of straight cylindrical pores. Simplified governing equations for mass and energy transport are solved within the sub-pore system along with a reaction kinetics model to account for surface adsorption. An implicit coupling strategy is used to couple the macro-pore and the sub-pore systems so as to ensure conservation. The developed methodology is then applied to a few test cases and it is established that the proposed framework is necessary for problems where the adsorption time scale is much smaller than (diffusion-limited) or comparable to the diffusion time scale. It is also demonstrated that the framework can be potentially used to model the network of porous channels in its entirety thus significantly reducing computational costs. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:463 / 474
页数:12
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