Multiobjective optimization of free convection through a nonuniform cabinet filled with porous media

Abstract

AbstractIn the current study, multiobjective optimization and numerical simulation were used to evaluate free convection through a nonuniform cabinet, which has several technical applications, such as cooling techniques, solar air collectors, and heat sinks. The new aspect of the current study is to compute the maximum free convection within an irregular L‐shaped cavity filled with porous media using both computational analysis and response surface methodology (RSM). Moreover, the impacts of constant coefficients, such as aspect ratios of the horizontal (ARh), vertical (ARv), and Darcy numbers (Da) on the Nusselt number (Nuave), Nusselt number maximization (NNM), the temperature of the surface (Ts), and entropy (S) are studied and discussed to evaluate their effect on the thermal performance. The results showed that when Da, ARh, and ARv increase, Nuave improves while the Ts and S decline and the largest desirability is achieved at ARh = 0.9, ARv = 0.9, and Da = 10−1. Additionally, when compared with the subpar design data, the largest gain in NNM was 26.7 times, while the biggest decreases in surface temperature and entropy were 59% and 97%, respectively. As a result, the combination of the numerical simulation and RSM study produces a novel strategy and insightful suggestions for the ideal cooling L‐shaped cabinet design.