alexa Modeling and Second Law Based Optimization of Plate Fin and Tube Heat Exchanger Using MOPSO
ISSN: 2168-9873

Journal of Applied Mechanical Engineering
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Research Article

Modeling and Second Law Based Optimization of Plate Fin and Tube Heat Exchanger Using MOPSO

Ehsan Khorasani Nejad1, Mohsen Hajabdollahi2 and Hassan Hajabdollahi3*
1Department of Mechanical Engineering, Behbahan Branch, Islamic Azad University, Behbahan, Iran
2Department of Computer Engineering, University of Isfahan, Isfahan, Iran
Corresponding Author : Hassan Hajabdollahi
Department of Mechanical Engineering
Vali-e-Asr University of Rafsanjan
Rafsanjan, Iran
E-mail: [email protected]
Received December 20, 2012; Accepted January 28, 2013; Published February 02, 2013
Citation: Nejad EK, Hajabdollahi M, Hajabdollahi H (2013) Modeling and Second Law Based Optimization of Plate Fin and Tube Heat Exchanger Using MOPSO. J Appl Mech Eng 2:118. doi: 10.4172/2168-9873.1000118
Copyright: © 2013 Nejad EK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In the present study, a comprehensive thermal modeling and optimal design of plain Fin-and-Tube Heat Exchanger (FTHE) is performed. Hence, method is applied to estimate the heat exchanger pressure drop and effectiveness. The design parameters of this scientific study are selected as: longitudinal pitch, transversal pitch, fin pitch, number of tube pass, tube diameter, cold stream flow length, no-flow length and hot stream flow length. In addition, Multi Objective Particle Swarm Optimization (MOPSO) is applied to obtain the minimum number of entropy generation units and total annual cost (sum of investment and operation costs) as two objective functions, simultaneously. The results of optimal designs are a set of multiple optimum solutions, called ‘Pareto optimal solutions’. It reveals that any geometrical changes which decrease the number of entropy generation units lead to an increase in the total annual cost and vice versa. Moreover, for prediction of the optimal design of the FTHE, an equation for number of entropy generation units versus the total annual cost is derived for the Pareto front. Furthermore, the sensitivity analysis of change in optimum number of entropy generation units and total annual cost with changes in design parameters of the fin tube heat exchanger is also performed in detail.

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