Thermomagnetic reactive ethylene glycol-metallic nanofluid transport from a convectively heated porous surface with ohmic dissipation, heat source, thermophoresis and Brownian motion effects

Shamshuddin, MD, Mabood, F and Beg, OA ORCID: https://orcid.org/0000-0001-5925-6711 2021, 'Thermomagnetic reactive ethylene glycol-metallic nanofluid transport from a convectively heated porous surface with ohmic dissipation, heat source, thermophoresis and Brownian motion effects' , International Journal of Modelling and Simulation .

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Access Information: This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Modelling and Simulation on 11th October 2021, available online: http://www.tandfonline.com/10.1080/02286203.2021.1977531.

Abstract

The objective of this study is to develop a mathematical model for chemically reacting magnetic nanofluid flow with thermophoretic diffusion, Brownian motion and Ohmic magnetic heating in a Darcian permeable regime. The current flow model also considers a number of different nanofluid types i.e. Cu, Ag and Au nanoparticles with base fluid ethylene glycol. Effectively a nanoscale formulation combining the Buongiorno two-component model with the Tiwari-Das model is deployed so that a nanoparticle species diffusion equation is also included as well as material properties for specific nanoparticles and base fluids. By means of similarity transformations, non-linear dimensionless ordinary differential equations are derived (from the original partial differential equations) and solved numerically by means of Runge-Kutta-Fehlberg-fourth fifth order method. The effect of emerging parameters on velocity, temperature, concentration, skin friction, Nusselt number and Sherwood number profiles is visualized graphically. Validation with earlier studies is included. The computations show that temperatures are suppressed with greater thermal Grashof and Biot numbers. Nanoparticle-concentrations are strongly diminished with increasing reactive species and Lewis number, whereas Sherwood number is elevated with stronger chemical reaction effect. The study is relevant to magnetic nanomaterials processing.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: International Journal of Modelling and Simulation
Publisher: Taylor & Francis
ISSN: 0228-6203
Related URLs:
Depositing User: OA Beg
Date Deposited: 06 Sep 2021 08:35
Last Modified: 12 Oct 2021 10:00
URI: http://usir.salford.ac.uk/id/eprint/61743

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