Akkurt, Nevzat; Shedd, Tim; Memon, Abid Ali; Usman; Ali, Mohamed R.; Bouye, Mohamed

After introducing the advantage of nanofluids for optimizing heat transfer, many research articles have been written considering the different types of domains. In our article, we will observe the turbulent transport of a hybrid mixture through the three-dimensional L-shaped channel to analyze the characteristic of heat generation via forced convection. The hybrid nanofluid is composed of aluminum oxide copper (Cu) and aluminum oxide (Al2O3), which will be present in the base fluid by the volume fraction of 5%, 15%, 25%, and 35% in the base fluid (water). To analyze the forced convection, the Reynolds number (Re) will be kept at 10,000 to 40,000. The simulation will be developed using the three-dimensional κ-ϵ turbulence model and energy equations via COMSOL Multiphysics 5.6. The numerical outcomes will be verified using the literature's correlations for the average Nusselt number. It was found that the average Nusselt number at the mid of the channel is increased by increasing the volume fractions of both aluminum oxide and copper, but the rate of increase because of copper is greater than the rate of increase because of aluminum oxide. The study also suggests that to get more benefit from the transport of a hybrid mixture, keep the Reynolds number high. The temperature along the channel length is the function of mean thermal diffusivity, which is directly proportional to the volume fractions of the hybrid mixture.

AtıfScopus34·OpenAlex35

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Prakash, J.; Tripathi, Dharmendra; Akkurt, Nevzat; Shedd, Tim

This article discusses the flow of a time-dependent biviscosity hybrid nanofluid boundary layer across a rotational permeable disk with effects of magnetic field and thermal radiation, and the subjective and quantitative transfer of heat flow. In the classic Von Karman issue, nanofluids comprising volume fractions ofAg-MgO/60% water and 40% ethylene glycol are considered instead of Newtonian regular fluids. The governing equations are transformed nonlinear ordinary differential equations using Von Karman transformations. The equation for the generation of entropy is calculated as a function of velocity and temperature gradient. This equation is made nondimensional by adding geometric and physical flow field-dependent parameters. The velocity profiles in the radial, tangential, and axial directions, as well as the axial pressure gradient, nanoparticle temperature distribution, local skin friction, Nusselt number, and Bejan number, are calculated by using MATLAB bvp4c. The multivariate analysis is implemented in the numerical results of the Nusselt number. A rotation parameter is generated by the spinning phenomena, which regulates the disk’s movement. Increasing the rotation of the disk causes fluid velocity to accelerate in both the radial and cross-radial directions, while contrasting phenomena can be noticed in the axial velocity of the flow. The temperature and wall shear stress of a nanofluid both rise with the disc’s Brinkman number and the volume fraction of nanoparticles. Increasing the thickness of the thermal boundary layer raises the axial pressure gradient. Entropy measured by the Bejan number Influences the magnetic field and the Biot number. Physical parameters presented in this article may be used to optimize the system’s performance. A magnetic rotating porous disk drives could be used in nuclear space propulsion engines and in heat transfer augmentation in thermal management and renewable energy sources.

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Lin, Yuanjian; Rehman, Sadique; Akkurt, Nevzat; Shedd, Tim; Kamran, Muhammad; Qureshi, Muhammad Imran; Botmart, Thongchai; Alharbi, Abdulaziz N.; Farooq, Aamir; Khan, Ilyas

Nanofluids are considered as smart fluids that can improve heat and mass transfer and have numerous applications in industry and engineering fields such as electronics, manufacturing, and biomedicine. For this reason, blood-based nanofluids with carbon nanotubes (CNTs) as nanoparticles in the presence of a magnetic field are discussed. The nanofluid traverses the porous medium. The nanofluids move on a vertical plate that can be moved. The free convection heat transfer mode is considered when the heat source and heat fluxes are constant. Convective flows are often used in engineering processes, especially in heat removal, such as geothermal and petroleum extraction, building construction, and so on. Heat transfer is used in chemical processing, power generation, automobile manufacturing, air conditioning, refrigeration, and computer technology, among others. Heat transfer fluids such as water, methanol, air and glycerine are used as heat exchange media because these fluids have low thermal conductivity compared to other metals. We have studied the effects of MHD on the heat and velocity of nanofluids keeping efficiency in mind. Laplace transform is used to solve the mathematical model. The velocity and temperature profiles of MHD flow with free convection of nanofluids were described using Nusselt number and skin friction coefficient. An accurate solution is obtained for both the velocity and temperature profiles. The graph shows the effects of the different parameters on the velocity and temperature profiles. The temperature profile improved with increasing estimates of the fraction parameter and the volume friction parameter. The velocity of the nanofluid is also a de-escalating function with the increasing values of the magnetic parameter and the porosity parameter. The thickness of the thermal boundary layer decreases with increasing values of the fractional parameter.

AtıfScopus13·OpenAlex12

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