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This study delves into the intricate interplay of magnetic and electric fields (EMHD) on the flow characteristics of a non‐Newtonian bio‐hybrid nanofluid, consisting of Ag+Graphene/blood, within converging and diverging geometries. The investigation takes into account the effects of velocity slip at the walls, offering a comprehensive examination of this complex fluid system. A novel bio‐hybrid nanofluid model was introduced, featuring a unique combination of Ag+Graphene/blood nanoparticles. To address this multifaceted problem, the research employed mathematical modeling based on nonlinear partial differential equations (PDEs), encompassing continuity and momentum equations. These PDEs were then transformed into a system of nonlinear ordinary differential equations (ODEs) through similarity transformations. The study explored both numerical and analytical solutions, with a particular focus on the application of the Adomian decomposition method (ADM). To validate the findings, the study compared the analytical results with those obtained using the HAM‐based Mathematica package and the Runge–Kutta Fehlberg 4th–5th order (RKF‐45) method in specific scenarios. Active parameters, including nanofluid volume fraction, slip factors, and the influence of magnetic and electric fields, were systematically examined to unveil their impacts on velocity and skin friction within this multifaceted nanofluid system. It is found that the skin friction coefficient decreases with the Increasing both the nanoparticle volume fraction, Hartmann number and the angle in both channels. Results obtained also reveal an in the converging section, higher Casson parameters lead to increased yield stress but are offset by the higher shear rates, resulting in a higher velocity profile. In the diverging section, the fluid resists flow due to the reduced shear stress, leading to a decreased velocity profile.
This study delves into the intricate interplay of magnetic and electric fields (EMHD) on the flow characteristics of a non‐Newtonian bio‐hybrid nanofluid, consisting of Ag+Graphene/blood, within converging and diverging geometries. The investigation takes into account the effects of velocity slip at the walls, offering a comprehensive examination of this complex fluid system. A novel bio‐hybrid nanofluid model was introduced, featuring a unique combination of Ag+Graphene/blood nanoparticles. To address this multifaceted problem, the research employed mathematical modeling based on nonlinear partial differential equations (PDEs), encompassing continuity and momentum equations. These PDEs were then transformed into a system of nonlinear ordinary differential equations (ODEs) through similarity transformations. The study explored both numerical and analytical solutions, with a particular focus on the application of the Adomian decomposition method (ADM). To validate the findings, the study compared the analytical results with those obtained using the HAM‐based Mathematica package and the Runge–Kutta Fehlberg 4th–5th order (RKF‐45) method in specific scenarios. Active parameters, including nanofluid volume fraction, slip factors, and the influence of magnetic and electric fields, were systematically examined to unveil their impacts on velocity and skin friction within this multifaceted nanofluid system. It is found that the skin friction coefficient decreases with the Increasing both the nanoparticle volume fraction, Hartmann number and the angle in both channels. Results obtained also reveal an in the converging section, higher Casson parameters lead to increased yield stress but are offset by the higher shear rates, resulting in a higher velocity profile. In the diverging section, the fluid resists flow due to the reduced shear stress, leading to a decreased velocity profile.
Hybrid nanofluids (HNFs) thus naturally find one of the most important uses in the field of concentrated solar power, in which great demands of thermal conductivity and stability are made for the efficient conversion of concentrated solar radiation into heat. HNFs may accelerate the rate of transfer of heat, which can unlock the potential of being capable of offering quicker heating times and improved performance consistency of domestic and industrial solar water heating systems. The HNF flow at heat transfer applied in the solar thermal panels provides huge benefits in terms of effectiveness, durability, and overall performance; hence, an interesting area for more research and development within novel renewable energy technologies. The present paper attempts to discuss the impact of Cattaneo–Christov (C–C) heat flux, magnetic parameter with the relaxation to time for hybrid nanofluid coolants (Single wall carbon nanotubes [SWCNT]‐Al2O3/water, multiwall carbon nanotubes (MWCNT)‐Al2O3/water) that moves with the cylinder during the process of heat transmission. The current mathematical model uses the magnetic field to investigate the behavior of the electrically conductive fluid. The thermal radiation supports the steady flow. Carbon nanotubes (SWCNT and MWCNT) are used as nanomaterials in the water‐based fluid. In the given model partial slip model is used for boundary layer flow analysis in hybrid based nanofluid flow. The group of PDEs of the boundary layer is changed in to ODEs by the help of associated transformations during cooling process. The converted system of ordinary differential equations is addressed by numerical technique bvp4c of computational software MATLAB. Graphical explanation of the acquired results for various parameters of velocity and heat fields is done. From the obtained results, it is concluded that the velocity field is increased by increasing the values of the curvature parameter. The slip parameter decreases the velocity with an increase. Further, the temperature distribution grows by elevating the values of the nanoparticles volume fractions and the thermal Biot number.
This research simulates flow of blood in a tapered peristaltic artery integrating ternary hybrid nanofluid using the Jeffrey fluid model. The simulation examines the effects of Au, Fe3O4, and Ag nanoparticles on the flow. The artery, modeled as a peristaltic channel, is subjected to nonlinear thermal radiation, magnetic forces, and heat source. The problem is formulated using non-linear Cartesian partial differential equations, which are then transformed into dimensionless form without approximations. Adomian Decomposition Method (ADM) is employed to solve these equations, revealing how normal and shear stress, normal and axial velocities, induced magnetic fields, and temperature profiles vary with changes in relevant parameters. Additionally, biological factors are considered to graph streamlines, providing a comprehensive analysis of the flow dynamics. Some notable results include that adding ternary nanoparticles increases the Nusselt number by 26.03% in Newtonian fluids and 158.69% in Jeffrey fluids, and increasing tapering parameters and wavenumber improves axial and normal velocities, heat transfer, and flow complexity.
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