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Numerical Heat Transfer, Part B: Fundamentals
An International Journal of Computation and Methodology
Volume 85, 2024 - Issue 9
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Articles

Investigation of the effects of various nanoparticle morphologies on mass and heat transport in SiO2-H2O unsteady magnetohydrodynamic nanofluid flow through a stretched cylinder

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Pages 1130-1145 | Received 27 Feb 2023, Accepted 01 Sep 2023, Published online: 06 Oct 2023
 

Abstract

This article investigates the effects of the various silicon dioxide (SiO2) nanoparticles immersed in water (H2O) base fluid on velocity and heat transport over an unsteady stretching cylinder under the influence of magnetohydrodynamics (MHD), velocity slip, and convective boundary conditions. The physical model is initially developed in the form of partial differential equations (PDEs) by using the conservation principle. Employing suitable transformations, the set of PDEs has been transformed into a system of Ordinary differential equations (ODEs). The nonlinear equations in the proposed model are optimally and dynamically assessed. To produce numerical solutions for nonlinear systems, MATLAB's BVP4C solver technique is used. Furthermore, the numerical technique is validated by calculating residual error. The recent investigation’s novel results include: the nanoparticles SiO2 of play an important role in enhancing the thermal conductivity of the traditional base fluid H2O. The shape of the nanoparticles also plays a remarkable role in heat transfer enhancement. Increases in viscus dissipation, convective boundary conditions, and MHD parameters play a remarkable role in increasing the temperature of the nanofluid. Furthermore, platelet-shaped SiO2 nanoparticles are reported to have the highest flow rate, highest temperature, and highest value of Nusselt numbers.

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There is no declaration of interest.

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