Numerical determination of optimum working conditions and geometric dimensions of plain and modified shaped plate fin heat sinks using multi objective genetic algorithm

Optimum working conditions and geometric dimensions of plain plate fin heat sinks (PFHSs) and modified shaped plate fin heat sinks (MS-PFHSs) are numerically determined in this study. The objective functions are minimizations of base plate temperature, entropy generation and mass. For both PFHSs and MS-PFHSs, optimization variables include inlet velocity (V_in), fin height (H_fin), and number of fins (N_L). Plate fin form is adjusted for MS-PFHSs by adding two optimization variables: the rib height (H_rib) and the number of patterns in the flow direction (W_p). For the multi-objective optimization problems, the maximum base plate temperature limit (T_base<70 °C) is used. The multi-objective genetic algorithm (MOGA) is used to solve each optimization issue, and three-dimensional parametric models for numerical optimization work are examined using the finite volume approach. The flow is steady, incompressible, and turbulent, and heat transfer in the heat sink is represented by Conjugate Heat Transfer (CHT). It is shown that MS-PFHSs outperform in terms of the analyzed objective functions. For the optimum designs, T_base values of MS-PFHS and PFHS are 60.23 and 65.25 while the mass values are same. It is found that T_base decreases 7.69% with respect to PFHS's optimum design.