Computation of ferromagnetic/nonmagnetic nanofluid flow over a stretching cylinder with induction and curvature effects

Mizan, MRB, Ferdows, M, Shamshuddin, M, Beg, OA ORCID: https://orcid.org/0000-0001-5925-6711, Salawu, SO and Kadir, A 2021, 'Computation of ferromagnetic/nonmagnetic nanofluid flow over a stretching cylinder with induction and curvature effects' , Heat Transfer .

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Access Information: This is the peer reviewed version of the following article: Bin Mizan, MR, Ferdows, M, Shamshuddin, MD, Bég, OA, Salawu, SO, Kadir, A. Computation of ferromagnetic/nonmagnetic nanofluid flow over a stretching cylinder with induction and curvature effects. Heat Transfer. 2021, which has been published in final form at https://doi.org/10.1002/htj.22122. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.

Abstract

Motivated by enrobing processes in manufacturing technology with intelligent coatings, this work analyses the flow of an electroconductive incompressible nanofluid with heat distribution in a boundary layer containing metallic nanoparticles or ferroparticles along an extending cylindrical body with magnetic induction effects. The quasi-linear boundary conditions for the partial derivative formulations connecting to the far stream and cylinder wall are converted to ordinary non-linear derivatives by applying appropriate similarity transformations. The emerging system of derivatives are solved by a stable, efficient spectral relaxation method (SRM). The SRM procedure is benchmarked with special limiting cases in the literature and found to corroborate exceptionally well with other studies in the literature. Here, water is taken as the base liquid containing homogenously suspended non-magnetic (Nimonic 80a, Silicon Dioxide (SiO2) or magnetic nanoparticles Ferric Oxide (Fe3O4), Manganese Franklinite (Mn-ZnFe2O4),). The influence of all key parameters on the velocity and temperature distributions are displayed in graphs and tables with extensive elucidation. The wall local drag force (skin friction) and local temperature gradient (Nusselt number) are also visualized graphically for various parameters. The rate of convergence of the spectral relaxation method (SRM) convergence is compared with that of the successive over relaxation (SOR) method and observed to converge faster. Larger magnetohydrodynamic body force parameter and inverse of Prandtl magnetic number induces flow deceleration whereas it enhances temperatures. Flow acceleration is computed for SiO2non-magnetic nanoparticles and good heat conduction augmentation is produced with nanoparticle magnetic Fe3O4. Rising fractional volume of the solid nanoparticle decelerates the axisymmetric flow for both non-magnetic and magnetic nanoparticles whereas it elevates the magnetic induction and temperature magnitudes.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Heat Transfer
Publisher: Wiley
ISSN: 1099-2871
Related URLs:
Depositing User: OA Beg
Date Deposited: 01 Mar 2021 08:40
Last Modified: 22 Mar 2021 10:30
URI: http://usir.salford.ac.uk/id/eprint/59710

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