Multi-objective thermal design optimization of plate frame heat exchangers through global best algorithm
Abstract
This study deals with thermal design of plate frame heat exchangers based on Global Best Algorithm.
By utilizing some basic perturbation schemes adopted from Differential Search and Differential
Evolution, Global Best Algorithm aims to obtain optimum solution of any optimization problem
with intensifying on exploitation of the promising solutions rather than exploring of the unvisited
paths of the search domain. Firstly, optimization performance of the proposed algorithm has been
benchmarked against variety of well-known optimization algorithms by means of 16 different
highly challenging optimization test functions. Then, the proposed method is put into practice to
acquire the optimal values of the design variables those optimize the considered problem objectives
including overall heat transfer coefficient, total cost and weight of the plate frame heat exchangers
separately as well as simultaneously. Considerable improvement in objective function values is
observed as compared to preliminary design in single objective manner. Pareto frontier is
constructed for dual and triple objective and best optimal solution among the curve is selected by
means of the widely-known decision making methods of LINMAP, TOPSIS, and Shannon’s entropy
theory. Optimal results obtained from each decision making theory are compared with respect to
their corresponding deviation indexes and the best one is preferred. A sensitivity analysis is then
performed to study the vibrational influences of some design parameters on the considered
objective functions. It is observed that selected design variables has a significant effect on problem
objectives.
Collections
DSpace@BEU by Bitlis Eren University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..