Ramzan, Muhammad; Ali, Farhan; Akkurt, Nevzat; Saeed, Anwar; Kumam, Poom; Galal, Ahmed M.

Tri-hybrid nano-particles in shear rate-dependent viscous fluid are essential for improving heat and mass transmission in many industries. The current study explores the two-dimensional flow of the Carreau-ternary hybrid nanoliquid with a magnetic field over the stretching surface. The heat transport mechanism is deliberated through the applications of thermal radiation and heat source/sink effects. The entropy minimization of the flow of Carreau ternary hybrid nanofluid has also been scrutinized. Further, the concepts of convective conditions are employed for the numerical solution of the existing model. In the present flow analysis, silver (Ag), Molybdenum disulfide (MoS2), and multi-wall carbon nanotube (MWCNT) nanoparticles are studied. Carboxymethyl cellulose (CMC-water) is used as a base liquid. The well-established numerical collocation finite difference scheme and three-stage Lobatto III as the built-in function of the bvp4c solver via MATLAB have been used to solve the system of equations in the form of concentration, energy, and momentum. Numerous features, such as flow speed, temperature, drag friction, and Nusselt number, are described in figures and tables. From the existing model, some key outcomes are that the rising values of the radiation parameter increased the heat transfer rates. Further, it is dissected that the greater importance of the magnetic field parameter declined the entropy generation and velocity of the liquid.

AtıfScopus88·OpenAlex96

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Shamshuddin, M.D.; Akkurt, Nevzat; Saeed, Anwar; Kumam, Poom

The energy transition to enhance heat transport during the flow of ternary hybrid nanofluid comprised of Copper (Cu), Iron oxide (Fe3O4), Silicon dioxide (SiO2) nanoparticles and Polymer as base liquid over a revolving disk surface has been reported. From the several existing techniques, adding nanoparticles to standard working fluids is an effective approach that might dramatically improve the rate of heat transfer. The Hall and radiation impacts are also considered. A mathematical model is developed by assuming the flow as incompressible and purely radial in a cylindrical coordinate system and appropriate similarity variables are introduced for problem simplification and dimensionless analysis. The solution of complex generated PDEs was calculated using semi analytical method known as Homotopy Analysis Method (HAM) after translating them into corresponding ODEs. It has been observed that the consequences of thermal radiation, dissipation term, unsteadiness and rotation parameters boost the energy transmission rate and enhances the heat transfer rate of tri hybrid nanofluids. However, Cu-Fe3O4 nanoparticles in the base fluid remarkably magnifies the energy transmission rate. The unitary ternary hybrid nanofluid (Cu, Fe3O4, SiO2) has higher velocity profiles as compared to unitary nano fluid (Cu) and hybrid nano-fluid (Cu-Fe3O4).

AtıfScopus133·WoS121·OpenAlex138

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Gohar; Saeed, Anwar; Alyami, Maryam Ahmed; Akkurt, Nevzat; Khan, Tahir Saeed; Gul, Taza

Researchers are interested in the thermophysical properties of nanofluids because of the successful use of nanofluids in state-of-the-art technology and engineering. Hence, hybrid and tri-hybrid nanofluid is used to ensure the required thermal features. An incompressible ternary hybrid nanofluid (NF) flow comprised of (Al2O3) aluminum oxide, (CuO) copper oxide, and (TiO2) titanium dioxide nanoparticles across an impermeable infinite spinning disc are addressed in the present study. The magnetic field and second-degree thermal radiation were used in the proposed model. The main aim of this assessment is to raise the consciousness of energy exhaustion in the industrial and technical sectors. The numerous applicability of ternary nanoparticles (NPs) make the proposed model more plausible, such as, Al2O3 has society-enhancing and life-extending applications, CuO has unique electrical, optical, and magnetic properties, while TiO2 is excessively used in plastic and paper production. For this purpose, the sensations have been expressed in the form of differential equations and the consequences are obtained using the homotopy analysis method (HAM). The graphics and statistical outcomes of the analytical simulation of the proposed model are reported through Figures and Tables.

AtıfScopus14·WoS14·OpenAlex15

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