Computation of radiative Marangoni (thermocapillary) magnetohydrodynamic convection in Cu-water based nanofluid flow from a disk in porous media : smart coating simulation

Shamshuddin, M, Mishra, SR, Beg, OA ORCID: https://orcid.org/0000-0001-5925-6711, Beg, TA and Kadir, A 2020, 'Computation of radiative Marangoni (thermocapillary) magnetohydrodynamic convection in Cu-water based nanofluid flow from a disk in porous media : smart coating simulation' , Heat Transfer .

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Access Information: This is the peer reviewed version of the following article: Shamshuddin, M, Mishra, SR, Bég, OA, Bég, TA, Ali, K. Computation of radiative Marangoni (thermocapillary) magnetohydrodynamic convection in a Cu‐water based nanofluid flow from a disk in porous media: Smart coating simulation. Heat Transfer. 2020, which has been published in final form at https://doi.org/10.1002/htj.21963. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.

Abstract

With emerging applications for smart and intelligent coating systems in energy, there has been increasing activity in researching magnetic nano nanomaterial coating flows. Surface tension features significantly in such regimes, and in presence of heat transfer, Marangoni (thermocapillary) convection arises. Motivated by elaborating deeper the intrinsic transport phenomena in such systems, in this paper, a mathematical model is developed for steady radiative heat transfer and Marangoni magnetohydrodynamic (MHD) flow of Cu-water nanofluid under strong magnetic field from a disk adjacent to a porous medium. The semi-analytical Adomain Decomposition Method (ADM) is employed to solve the governing equations which are reduced into ordinary differential equation form via the Von Karman similarity transformation. Validation with a GDQ (Generalized Differential Quadrature) algorithm is included. The response in dimensionless velocity, temperature, wall heat transfer rate and shear stress is investigated for various values of the control parameters. Temperature is reduced with increasing Marangoni parameter whereas the flow is accelerated. With increasing permeability parameter temperatures are elevated. Increasing radiative flux boosts temperatures further from the disk surface. Increasing magnetic parameter strongly damps the boundary layer flow and elevates the temperatures, also eliminating temperature oscillations at lower magnetic field strengths.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Heat Transfer
Publisher: Wiley
ISSN: 2688-4534
Related URLs:
Depositing User: OA Beg
Date Deposited: 29 Sep 2020 09:52
Last Modified: 19 Oct 2020 08:00
URI: http://usir.salford.ac.uk/id/eprint/58414

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