Abstract
This study aims to apply an integrated optimization approach that combines Multi-objective Optimization (MOO) and Multiple-criteria Decision-making (MCDM) to optimize a multiport mini-channel having 2D sawtooth micro fins under laminar, transitional, and turbulent flow conditions. Water was considered as working fluid. The Reynolds number (Re), fin height (Hf), fin width (Wf), the number of micro-fins in each mini-channel (N), and the distance between the successive fins (S1) were selected as design and flow parameters and the Nusselt number (Nu) and the Poiseuille number (Po) were selected as objective functions. A Genetic Algorithm based MOO study was conducted using the correlations available in the literature aiming to find the optimum values of design and flow parameters that maximize Nu and minimize Po. Then, the VIsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method was employed to help designers to select an optimum design among the Pareto optimal solution set which is the output of MOO. Finally, the optimization results obtained were compared with those obtained by the 1st Law of Thermodynamics based Performance Evaluation Criteria (PEC). The advantages and disadvantages of these methods were discussed in detail. It is revealed that the integrated approach is a more comprehensive and flexible approach that also covers the results of PEC.
Highlights
Depending on the technological developments, heat generation in electronic devices has been increased dramatically over the years [1,2,3]
The aim of the optimization in the present study is to find the optimum values of selected design and flow parameters, which minimize Poiseuille number (Po) and maximize Nu simultaneously within the studied range
An application of a recently proposed integrated optimization methodology for design optimization of a minichannel heat exchanger was done in the present study
Summary
Depending on the technological developments, heat generation in electronic devices has been increased dramatically over the years [1,2,3]. They concluded that in general, the fluid outlet temperature rises until it reaches the fluid outlet temperature for a constant and continuous heat flux situation when the heat flow frequency decreases In their numerical study, Zhang et al [15] investigated the MOO of the cooling performance of a mini-channel with boot-shaped ribs in transcritical regions using the Response Surface Method (RSM) and Multi-objective Genetic Algorithm (MOGA). Zhang et al [15] investigated the MOO of the cooling performance of a mini-channel with boot-shaped ribs in transcritical regions using the Response Surface Method (RSM) and Multi-objective Genetic Algorithm (MOGA) They considered four design parameters as rib height, rib width, rib pitch, and the Reynolds number and the average temperature of the heated wall, and the pressure drop along the channel as outputs. They selected an optimum design among the Pareto solution set without using any method
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