Constructal Design Associated with Genetic Algorithm to Maximize the Performance of H-Shaped Isothermal Cavities

2018 ◽  
pp. 215-226
Author(s):  
Emanuel da Silva Dias Estrada ◽  
Elizaldo Domingues dos Santos ◽  
Liércio André Isoldi ◽  
Luiz Alberto Oliveira Rocha
Keyword(s):  
Genetic Algorithm ◽  
Constructal Design

scholarly journals CONSTRUCTAL DESIGN AND SIMULATED ANNEALING EMPLOYED FOR GEOMETRIC OPTIMIZATION OF A Y-SHAPED CAVITY INTRUDED INTO CONDUCTIVE WALL

2015 ◽  
Vol 14 (1) ◽  
pp. 79
Author(s):  
G. V. Gonzales ◽  
E. D. Dos Santos ◽  
L. R. Emmendorfer ◽  
L. A. Isoldi ◽  
E. S. D. Estrada ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Simulated Annealing ◽  
Solid Wall ◽  
Internal Heat ◽  
Optimization Methods ◽  
Optimization Method ◽  
Internal Heat Generation ◽  
Geometric Optimization ◽  
Constructal Design ◽  
Optimal Shapes

he problem study here is concerned with the geometrical evaluation of an isothermal Y-shaped cavity intruded into conducting solid wall with internal heat generation. The cavity acts as a sink of the heat generated into the solid. The main purpose here is to minimize the maximal excess of temperature (θmax) in the solid. Constructal Design, which is based on the objective and constraints principle, is employed to evaluate the geometries of Y-shaped cavity. Meanwhile, Simulated Annealing (SA) algorithm is employed as optimization method to seek for the best shapes. To validate the SA methodology, the results obtained with SA are compared with those achieved with Genetic Algorithm (GA) and Exaustive Search (ES) in recent studies of literature. The comparison between the optimization methods (SA, GA and ES) showed that Simulated Annealing is highly effective in the search for the optimal shapes of the studied case.

Constructal design associated with genetic algorithm to minimize the maximum deflection of thin stiffened steel plates

Heat Transfer ◽  
2020 ◽  
Vol 49 (7) ◽  
pp. 4040-4055
Author(s):  
Marcelo Langhinrichs Cunha ◽  
Emanuel da Silva Diaz Estrada ◽  
João Paulo Silva Lima ◽  
Grégori da Silva Troina ◽  
Elizaldo Domingues Santos ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Steel Plates ◽  
Maximum Deflection ◽  
Constructal Design ◽  
Stiffened Steel

Verification of a genetic algorithm for the optimization of stiffened plates through the constructal design method

2019 ◽  
Author(s):  
Marcelo Langhinrichs Cunha ◽  
◽  
Emanuel da Silva Diaz Estrada ◽  
Grégori da Silva Troina ◽  
Elizaldo Domingues dos Santos ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Design Method ◽  
Stiffened Plates ◽  
Constructal Design

Constructal Design of Convective Y-Shaped Cavities by Means of Genetic Algorithm

2014 ◽  
Vol 136 (7) ◽  
Author(s):  
G. Lorenzini ◽  
C. Biserni ◽  
E. D. Estrada ◽  
L. A. Isoldi ◽  
E. D. dos Santos ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Degrees Of Freedom ◽  
Thermal Field ◽  
Optimal Shape ◽  
Exhaustive Search ◽  
Difficult Situation ◽  
Constructal Design ◽  
Conducting Wall ◽  
Dimensionless Heat ◽  
Heat Transfer Parameter

In the present work constructal design is employed to optimize the geometry of a convective, Y-shaped cavity that intrudes into a solid conducting wall. The main purpose is to investigate the influence of the dimensionless heat transfer parameter a over the optimal geometries of the cavity, i.e., the ones that minimize the maximum excess of temperature (or reduce the thermal resistance of the solid domain). The search for the best geometry has been performed with the help of a genetic algorithm (GA). For square solids (H/L = 1.0) the results obtained with an exhaustive search (which is based on solution of all possible geometries) were adopted to validate the GA method, while for H/L ≠ 1.0 GA is used to find the best geometry for all degrees of freedom investigated here: H/L, t1/t0, L1/L0, and α (four times optimized). The results demonstrate that there is no universal optimal shape that minimizes the thermal field for all values of a investigated. Moreover, the temperature distribution along the solid domain becomes more homogeneous with an increase of a, until a limit where the configuration of “optimal distribution of imperfections” is achieved and the shape tends to remain fixed. Finally, it has been highlighted that the GA method proved to be very effective in the search for the best shapes with the number of required simulations much lower (8 times for the most difficult situation) than that necessary for exhaustive search.

Conductive pathways construction using Genetic Algorithm and Constructal Design

2017 ◽  
Author(s):  
jeferson Avila Souza ◽  
Diana Adamatti ◽  
Paola Avendaño Montoya
Keyword(s):  
Genetic Algorithm ◽  
Constructal Design

Constructal Design Associated to Genetic Algorithm of Asymmetric V-Shaped Pathways

2015 ◽  
Vol 137 (6) ◽  
Author(s):  
Emanuel da S. D. Estrada ◽  
Tadeu M. Fagundes ◽  
Liércio A. Isoldi ◽  
Elizaldo D. dos Santos ◽  
Gongnan Xie ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Thermal Resistance ◽  
Degrees Of Freedom ◽  
Volume Fraction ◽  
Geometric Optimization ◽  
Heat Sinks ◽  
Heat Generation Rate ◽  
Conductive Materials ◽  
Constructal Design ◽  
Optimal Shapes

This work relies on constructal design to perform the geometric optimization of the V-shaped pathways of highly conductive materials (inserts) that remove a constant heat generation rate from a body and deliver it to isothermal heat sinks. It is shown numerically that the global thermal resistance of the V-shaped pathway can be minimized by geometric optimization subject to total volume and V-shaped pathways material constraints. Constructal design and genetic algorithm (GA) optimization showed the emergence of an optimal architecture that minimizes the global thermal resistance: an optimal external shape for the assembly of pathways and optimal geometry features for the V-shaped pathway. Parametric study was performed to show the behavior of the minimized global thermal resistance as function of the volume fraction of the V-shaped pathways. First achieved results for ϕ = 0.3 indicated that when freedom is given to the geometry, the thermal performance is improved. Afterward, the employment of GA with constructal design allowed the achievement of the optimal shapes of V-shaped pathways for different volume fractions (0.2 ≤ ϕ ≤ 0.4). It was not realized the occurrence of one universal optimal shape for the several values of ϕ investigated, i.e., the optimal design was dependent on the degrees of freedom and the parameter ϕ and it is reached according to constructal principle of optimal distribution of imperfections.

CONDUCTIVE PATHWAYS CONSTRUCTION USING GENETIC ALGORITHM AND CONSTRUCTAL DESIGN

2019 ◽  
Vol 18 (2) ◽  
pp. 47
Author(s):  
P. A. Avendano ◽  
J. A. Souza ◽  
D. F. Adamatti
Keyword(s):  
Thermal Conductivity ◽  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Heat Generation ◽  
Internal Heat ◽  
Internal Heat Generation ◽  
Constructal Theory ◽  
Constructal Design ◽  
Conductive Pathway ◽  
Square Plate

In this work, Constructal Design and Genetic Algorithms are used to construct high conductivity paths connected to a heat sink and inserted in a square plate of low conductivity material with internal heat generation. The objective is propose a methodology that leads to minimize the maximum solid domain temperature. Total volume of the plate, amount of high thermal conductivity material and thermal ratio between high and low conductivities are fixed. The high conductive pathway forms found in this work greately resembles to the tree-forms found in nature, on which temperature is efficiently minimized by the application of the Genetic Algorithm and the Constructal Theory combined.

Genetic Algorithm Applied to Geometric Optimization of Isothermal Y-Shaped Cavities

2014 ◽  
Vol 136 (3) ◽  
Author(s):  
Giulio Lorenzini ◽  
Cesare Biserni ◽  
Emanuel da Silva Diaz Estrada ◽  
Elizaldo Domingues Dos Santos ◽  
Liércio André Isoldi ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Degrees Of Freedom ◽  
Geometric Optimization ◽  
Exhaustive Search ◽  
Constructal Design ◽  
Conducting Wall

Constructal design associated with genetic algorithm (GA) is employed to optimize the geometry of an isothermal Y-shaped cavity embedded into a solid conducting wall. The structure has four degrees of freedom (DOF). The main purpose is to minimize the maximum excess of temperature between the solid and the cavity by means of GA and exhaustive search (simulating every geometry combinations). Results showed that GA was well succeeded to find the best shapes which minimize the maximal excess of temperature with a number of simulations strongly lower than that required with exhaustive search, allowing the optimization of cavity under new constraint conditions.

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