ENHANCEMENT OF THERMAL AND ENTROPY PERFORMANCE OF CPU HEATSINK USING HYBRID NANOFLUID UNDER NATURAL MAGNETOHYDRODYNAMIC CONVECTION

The need for effective CPU cooling has become increasingly important with the growing demand for computing performance. In this paper, we numerically investigate the problem of active CPU cooling using hybrid nanofluids. The studied heatsink consists of a parallelepiped-shaped block filled with a hybrid nanofluid, crossed by four tubes through which a specialized liquid circulates within the CPU components. Our study focuses on elucidating the influence of CPU temperature, magnetic field, and its inclination, nanoparticle hybridization, and the spacing between the four tubes on the cooling capacity and entropy generation within the heatsink. The thermal phenomenon is governed by mass, momentum, and energy conservation equations. We employ finite element discretization using COMSOL Multiphysics 6.0 software to numerically solve these equations. The results show a significant enhancement in heat transfer using hybrid nanofluids, particularly with alumina nanoparticles, with a percentage increase of up to 15%. However, an increase in entropy generation is also observed. Furthermore, a widely spaced tube configuration is found to be particularly effective in terms of entropy, resulting in a cooling enhancement of up to 73%. It is noteworthy that the results of this research provide valuable data that enable the design of high-performance heatsinks of this type.