Application of artificial bee colony algorithm for maximizing heat transfer in a perforated fin

Abstract

In this paper, an application of the inverse method based on the artificial bee colony algorithm has been demonstrated for estimating unknown dimensions of a rectangular perforated fin. The analysis has been done to maximize the heat transfer rate for a given volume occupied by the fin. The perforated fin has been assumed to dissipate heat by virtue of natural convection and surface radiation. The least square mismatch between a given volume and an initially guessed one is used to define the objective function that in turn has been minimized using the artificial bee colony algorithm. A comparative study reveals the advantage of the artificial bee colony algorithm against other evolutionary and stochastic optimization methods for the present problem. Since, there exist multiple dimensions satisfying a given volume, so, the most optimal dimension has been identified on the basis of a heat transfer rate maximization criterion. The study reveals that a given amount of heat transfer rate can be achieved with multiple combinations of the fin surface area and even a particular value of surface area can result in different heat transfer rates.

Determination of the time-dependent reaction coefficient and the heat flux in a nonlinear inverse heat conduction problem

“…The estimations of h(t) and q(t), as minimizers of (10), can be achieved either by gradient-free heuristic techniques, such as evolutionary optimization algorithms [9][10][11]17], or by gradient-based methods. Gradient-free methods can be applied to problems where the objective function is not differentiable, but if this is not the case, gradientbased deterministic techniques are preferred due to their higher efficiency.…”

Optimization of constructal T-shaped porous fins under convective environment using Swarm Intelligence Algorithms

“…The duo 23 in another study predicted five important parameters by considering temperature at three specific locations along the fin body. Some other popular metaheuristics like Artificial Bee colony, 25 Genetic algorithm, 26 and hybrid algorithm 27 have also been used to perform thermal investigation of fins. Das and Prasad 28 used differential evolution (DE) to predict porosity and thermal diffusivity in a rectangular porous fin by taking temperature information at three specific locations along the fin length.…”

Stefan‐Boltzmann problem for heat transfer in a fin

“…Extensive research has been done on finding the optimal form of a fin that would maximize efficiency; both linear () and nonlinear () models of fins have been studied. We cite only a few such papers, for example, other works 2,3,5,7‐13 and the references contained therein.…”