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, 50 (6)
, pp. 5240-5266.
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; 50: 5240– 5266, 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.
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