Constructal theory through thermodynamics of irreversible processes framework

Point to volume flow problem is revisited on a thermodynamics of irreversible processes (TIP) basis. The first step consists in evaluating the local entropy production of the system, and deducing from this expression the phenomenological laws. Then, the total entropy production can be simply evaluated. It is demonstrated that total entropy production can be written in a remarkable form: the product of the so-called entropy impedance with the square of the heat flux. As the heat flux is given, optimisation consists in minimising the entropy impedance. It is also shown that minimising entropy impedance minimises the maximum temperature difference. Applied to the elemental volume, this optimisation process leads to a shape factor close to the one already published. For the first construction, the equivalent system is defined as stated by Prigogine: when subjected to the same constraints, two systems are thermodynamically equivalent if their entropy production is equal. Two optimisation routes are then investigated: a global optimisation where all scales are taken into account and the constructal optimisation where the system is optimised scale by scale. In this second case, results are close to Ghodossi’s work. When global optimisation is performed, it is demonstrated that conductive paths have to be spread uniformly in the active material (i.e. the number of elemental volumes must go to infinite). Comparing the two routes, global optimisation leads to better performance than constructal optimisation. Moreover, global optimisation enlarges the domain of construction benefits. All these results are finally proven by 2D simulations.

[1]  Lotfollah Ghodoossi Conceptual study on constructal theory , 2004 .

[2]  Lotfollah Ghodoossi,et al.  Entropy generation rate in uniform heat generating area cooled by conducting paths: criterion for rating the performance of constructal designs , 2004 .

[3]  Y. Azoumah,et al.  Optimal design of thermochemical reactors based on constructal approach , 2007 .

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

[5]  Adrian Bejan,et al.  Equipartition, optimal allocation, and the constructal approach to predicting organization in nature , 1998 .

[6]  R. Olives,et al.  A Highly Conductive Porous Medium for Solid–Gas Reactions: Effect of the Dispersed Phase on the Thermal Tortuosity , 2001 .

[7]  Adrian Bejan,et al.  Two Constructal Routes to Minimal Heat Flow Resistance via Greater Internal Complexity , 1999 .

[8]  J. C. Denton,et al.  Analytical solution for heat conduction problem in composite slab and its implementation in constructal solution for cooling of electronics , 2007 .

[9]  Adrian Bejan,et al.  How nature takes shape: extensions of constructal theory to ducts, rivers, turbulence, cracks, dendritic crystals and spatial economics , 1999 .

[10]  Nilufer Egrican,et al.  A critical review of constructal theory , 2008 .

[11]  Lotfollah Ghodoossi,et al.  Flow area optimization in point to area or area to point flows , 2003 .

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

[13]  Lotfollah Ghodoossi,et al.  Exact solution for cooling of electronics using constructal theory , 2003 .

[14]  Y. Azoumah,et al.  Constructal network for heat and mass transfer in a solid–gas reactive porous medium , 2004 .

[15]  Ilya Prigogine,et al.  Thermodynamics of Irreversible Processes , 2018, Principles of Thermodynamics.

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

[17]  Maroun Nemer,et al.  A new perspective of constructal networks cooling a finite-size volume generating heat , 2011 .

[18]  Fengrui Sun,et al.  On the “area to point” flow problem based on constructal theory , 2007 .

[19]  Lotfollah Ghodoossi,et al.  Flow area structure generation in point to area or area to point flows , 2003 .