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Quantitative Characterization of 2-D Porous Channels by Using Fractal Random Walk Method

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Abstract:

An improved random walk mode is proposed based on fractal geometry and random walk theory to characterize the features of porous channels quantitatively. Three different types of fractal Sierpinski carpet structures are obtained by iterative method. The effective thermal conductivities and fractal dimensions are calculated by finite volume method and statistical fractal algorithm respectively. The influences of porosity and pore distribution on effective thermal conductivity are investigated. Results indicate that, the effective thermal conductivity may be different for various structures with the same porosity, and the direction of porous channels formed by connected pores is the critical factor. The spectral fractal dimension of porous channels dD in the direction of temperature gradient coincides with the effective thermal conductivity of Sierpinski carpet.

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Periodical:

Advanced Materials Research (Volumes 614-615)

Pages:

234-238

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.614-615.234

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Online since:

December 2012

Authors:

Xiao Chuan Li, Xiang Yong Huang, Xiao Feng Cui

Keywords:

Effective Thermal Conductivity, Fractal, Porous Channels, Random Walk Theory

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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