Hassan Hajabdollahi
Rafsanjan
West Indies
Research Article
Multi-Objective Optimization of a Fin with two-Dimensional Heat Transfer Using NSGA-II and ANN
Author(s): M.M Ghanadi Arab, Mohsen Hajabdollahi and Hassan Hajabdollahi
M.M Ghanadi Arab, Mohsen Hajabdollahi and Hassan Hajabdollahi
Two-dimensional heat transfer in a fin was modeled with acceptable accuracy and optimized. Bezier curve was used to estimate the fin geometry. The finite volume method coupled with the artificial neural network was developed to predict the temperature distribution through the fin with -1.5% to +1% and ± 0.5% accuracy for fin efficiency and rate of heat transfer, respectively. Locations of four control points in the Bezier curve were considered as design variables. Then, fast and elitist non-dominated sorting genetic algorithm (NSGA-II) was applied to find the maximum fin efficiency and the rate of heat transfer as two objective functions. The results of optimal designs were a set of multiple optimum solutions, called ‘Pareto optimal solutions’. The maximum 72 percent for fin efficiency was found with 739W as its rat.. View More»
DOI:
10.4172/2168-9873.1000117