The two-dimensional magnetohydrodynamics incompressible flow of nanofluid about a stretching surface is investigated with the existence of viscous dissipation and Joule heating. Moreover, the impact of the convective condition and mass suction is applied with the viscous nanofluid containing copper nanoparticles and the base fluid water. The similarity variables have been employed to transform the coupled nonlinear partial differential equations into the ordinary differential equations and the numerical scheme bp4c is implemented for the further analysis of the solution. The diverse results of temperature, skin friction coefficient, velocity, and the Nusselt number according to numerous parameters have been shown graphically. It appears that the Nusselt number and the skin friction reduces, which is caused by the enhancement of both Hartman number and nanoparticles concentration. Moreover, the fluid temperature surges with the growth of Biot number, and Eckert number whereas the growth of nanoparticles concentration and suction parameter diminishes the velocity and temperature profile. The inclusion of a significant quantity of nanoparticles in the base fluid increases the density of the corresponding nanofluids and accordingly the temperature of the coupled nanoparticles in the base fluids can be modified. Hence, nanofluids build an outstanding performance in electronic components appliances and other electrical devices. The existing research is further effective in refrigerators for stabilizing their rate of cooling.
Present numerical investigation studies the influence of inserting rods with helical fins in a shell and tube heat exchanger (ShT-HEX) under magnetic field (MF) and filled with two-phase nanofluid (NF) on the thermal–hydraulic performance (THP). The goal of the present article is to study the influence of different geometrical factors of fins, different Re, various MFs and also different nanoparticles concentrations on the THP of Newtonian NF flow under MF in a novel HEX using the finite volume method. Also, an economic analysis is done with the interesting parameter heat flux to reduce the weight of the HEX. It was found that the novel configuration with b = 100 mm and a = 23 mm filled with MgO-SAE10 NF at φ = 1.500% under the MF of B = 0.5 T has the optimum characteristics with the q" = 98.08 W/m2 and 143.60 W/m2 at Re = 8,000 and 20,000, respectively. Based on obtained results, the costs of manufacturing of novel model can be 88% of the basic model. Therefore, the economic enhancement is done in this investigation using ANSYS-Fluent and SolidWorks software.
This paper presents a numerical study on the thermal efficiency of a pin fin heatsink (HEK). The working fluid used is an alumina/water nanofluid, which enters the HEK in a laminar flow regime and exits from its surroundings. This study involves varying the distance between circular pin fins, their height, and their diameter. By altering these parameters, we determine the values of thermal resistance (THR) and temperature uniformity (Teta) on the HEK, along with the heat transfer coefficient (HTC). We further optimize the obtained results using artificial intelligence techniques to minimize the THR of the HEK, maximize the HTC, and achieve the best Teta on the HEK. This numerical investigation employs a two-phase approach to model nanofluid flow within the HEK. The optimization process yields predictions with an accuracy of less than 4%. The findings reveal that increasing the height of the pin fins reduces the HTC and the heat capacity of the HEK, while simultaneously improving the Teta on the HEK. Expanding the distance between pin fins enhances the HTC, decreases the THR of the HEK, and further improves the Teta on the HEK. Similarly, augmenting the diameter of the pin fins amplifies the HTC, reduces the THR, and enhances the Teta on the HEK.
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