Optimization of wavy trapezoidal porous cavity containing mixture hybrid nanofluid (water/ethylene glycol Go–Al2O3) by response surface method

Abstract

Increasing thermal performance and preventing heat loss are very important in energy conversion systems, especially for new and complex products that exacerbate this need. Therefore, to solve this challenge, a trapezoidal cavity with a wavy top wall containing water/ethylene glycol GO–Al2O3 nanofluid is simulated using Galerkin finite element method. The effects of physical parameters affecting thermal performance and fluid flow, including porosity (ℇ), thermal radiation (Rd), magnetic field angle (α), Rayleigh number (Ra) and Hartmann number (Ha), are investigated in the determined ratios. The results of applied boundary conditions showed that the optimal values for Ra, Ha, ℇ, Rd and α are 1214.46, 2.86, 0.63, 0.24 and 59.35, respectively. Considering that changes in radiation have little effect on streamlines and isothermal lines. Optimization by RSM and Taguchi integration resulted in optimal Nu detection. It provided a correlation for the average Nu based on the investigated determinants due to the conflicting influence of the study factors, which finally calculated the highest average Nusselt number of 3.07. Therefore, the ideal design, which is the primary goal of this research, increases the thermal performance.

Thermal analysis of fully wetted porous longitudinal fin of parabolic profile with variable thermal conductivity and convection–radiation

“…Later, Akbari et al 22 analytically studied the thermal behavior of a 3D hollow sphere. Thermal behavior of porous fin with various cross sections can be noticed in Hosseinzadeh et al 23 and Alipour et al 24 …”

“…Later, Akbari et al 22 analytically studied the thermal behavior of a 3D hollow sphere. Thermal behavior of porous fin with various cross sections can be noticed in Hosseinzadeh et al 23 and Alipour et al 24 The effect of magnetic field plays a vital role in heat transfer phenomena. In this regard, some studies have shown that it helps in enhancing heat transfer rate in fins.…”

Adaptive elevator kinematics optimization based dual response algorithm for determining proper levels in plaster milling process parameters

“…In order to build models and assess issues, the response surface method (RSM) integrates mathematical and statistical methodologies 4 , 5 . The experimental design plan must determine the level of factors that will provide the best response value 6 – 8 . In the case of a response that is associated with multiple independent factors or variables.…”

Thermal analysis and optimization approach for ternary nanofluid flow in a novel porous cavity by considering nanoparticle shape factor

“…The primary finding of this research is the novel discovery of the superior performance of cross heating-cooling, in contrast to the conventional methods of heating-cooling from the top or bottom sides. Study these papers for further information [ [44] , [45] , [46] , [47] , [48] , [49] ].…”