Heat conduction in fractal tree-like branched networks

Abstract The geometric structures and fractal dimensions of fractal tree-like branched networks have the significant influence on the efficiency of physiological, communication and transport processes. We analyze the heat conduction through symmetric fractal tree-like branched networks. We obtain the expression of thermal conductivity in the networks and analyze the relationship between the effective thermal conductivity (ETC) and the geometric structures of the networks. We have found that the ETC of the networks is always less than that of a single channel, and the value of the thermal conductivity of the network can tend to zero under certain conditions; as long as the branching number N is fixed, the heat conduction reaches the fastest rate at the same diameter ratio βm which is corresponding to the fractal dimension Dd = 2.0. We have also found that the heat conduction in the networks is rather different from Murray’s law both for laminar regime (2−1/3) and for turbulent flow regime (2−3/7).

[1]  A. Bejan Constructal-theory network of conducting paths for cooling a heat generating volume , 1997 .

[2]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[3]  P. Cheng,et al.  Heat transfer and pressure drop in fractal tree-like microchannel nets , 2002 .

[4]  Geoffrey B. West,et al.  Scaling in Biology , 2000 .

[5]  H. Stanley,et al.  Characterization of the branching structure of the lung from "macroscopic" pressure-volume measurements. , 2001, Physical review letters.

[6]  S. Havlin,et al.  Self-similarity of complex networks , 2005, Nature.

[7]  Julio M. Ottino,et al.  Complex networks , 2004, Encyclopedia of Big Data.

[8]  Lingai Luo,et al.  Design and scaling laws of ramified fluid distributors by the constructal approach , 2004 .

[9]  J. Hansen,et al.  Shape and Structure , 2001 .

[10]  Adrian Bejan,et al.  The tree of convective heat streams: its thermal insulation function and the predicted 3/4-power relation between body heat loss and body size , 2001 .

[11]  K. Muralidhar Equivalent conductivity of a heterogeneous medium , 1990 .

[12]  Boming Yu,et al.  Fractal Models for the Effective Thermal Conductivity of Bidispersed Porous Media , 2002 .

[13]  B. Sapoval,et al.  Interplay between geometry and flow distribution in an airway tree. , 2003, Physical review letters.

[14]  H Kitaoka,et al.  A three-dimensional model of the human airway tree. , 1999, Journal of applied physiology.

[15]  Sergey N. Dorogovtsev,et al.  Evolution of Networks: From Biological Nets to the Internet and WWW (Physics) , 2003 .

[16]  Ibrahim Dincer,et al.  Porous and Complex Flow Structures in Modern Technologies , 2004 .

[17]  J. Sperry,et al.  Water transport in plants obeys Murray's law , 2003, Nature.

[18]  Chin Tsau Hsu,et al.  A Lumped-Parameter Model for Stagnant Thermal Conductivity of Spatially Periodic Porous Media , 1995 .

[19]  James H. Brown,et al.  A General Model for the Origin of Allometric Scaling Laws in Biology , 1997, Science.

[20]  Boming Yu,et al.  Fractal geometry model for effective thermal conductivity of three-phase porous media , 2004 .

[21]  C D Murray,et al.  The Physiological Principle of Minimum Work: I. The Vascular System and the Cost of Blood Volume. , 1926, Proceedings of the National Academy of Sciences of the United States of America.

[22]  A. H. Reis,et al.  Constructal theory of flow architecture of the lungs. , 2004, Medical physics.

[23]  Benoit B. Mandelbrot,et al.  Fractal Geometry of Nature , 1984 .

[24]  A. Bejan Shape and Structure, from Engineering to Nature , 2000 .

[25]  M. Kearney Engineered fractals enhance process applications , 2000 .

[26]  A. Bejan Constructal theory: from thermodynamic and geometric optimization to predicting shape in nature , 1998 .