Thermal Management and Entropy Minimization of Plain and Modified Shaped Plate Fin Heat Sinks Using Multi-Objective Genetic Algorithm

In this study, an optimization methodology is followed in order to explore better form of heat sinks which improve thermal performances. Optimum designs of plate fin heat sinks (PFHSs) and modified shaped plate fin heat sinks (MS-PFHSs) are numerically investigated. The objective functions are minimizations of base plate temperature, entropy generation and mass. For both PFHSs and MS-PFHSs, optimization variables include inlet velocity (Vin), fin height (Hfin), and number of fins (NL). Plate fin form is adjusted for MS-PFHSs by adding two optimization variables: the rib height (Hrib) and the number of patterns in the flow direction (Wp). For the multi-objective optimization problems, the maximum base plate temperature limit (Tbase