چكيده به لاتين
Thermal exchangers are widely used in various industries, including the oil and gas industry. Improved heat transfer in smaller volumes is one of the design goals of many heat exchangers. Simultaneous use of nanofluids and metal foams to improve heat transfer is considered as a research topic. Previous studies have shown that changing the properties of metal foams in different layers can provide improved heat transfer. A mixed two-phase model with a Darcy-Brinkman-Forchheimer relationship is used to simulate nanosilver in a porous medium.
In addition to the numerical study of nanofluid flow in porous metall foam, an appropriate layering arrangement was found using a particle swarm algorithm to improve the heat transfer of heat exchangers and the appropriate pressure drop. For this purpose, a parameter is defined as the coefficient of performance, in which the ratio of the increase of heat transfer to power consumption is defined in two basic conditions (pure fluid) and optimal mode (only in the porous medium). Increasing the speed and thermal conductivity near the wall. Two factors affecting the heat transfer is. Also, with increased permeability, there is less pressure loss. The effect of adding nanoparticles and Reynolds number on the three variables of Nusselt number, pressure drop and coefficient of performance are investigated separately for the optimal variation of the diameter of the variable gradient and the porosity coefficient.
Keywords: Two-phase mixture model, Porous medium, Optimization, Gradient metal foam, Computational fluid dynamics.
