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Technical Brief

A Computational Study of Mixed Convection Heat Transfer from a Continuously Moving Isothermal Vertical Plate to Alumina-Water Nanofluid as in Hot Extrusion

[+] Author and Article Information
Arijit Mahapatra

Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, U.P. 208016, India
arijit1201besume@gmail.com

P.S. Ghoshdastidar

Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, U.P. 208016, India
psg@iitk.ac.in

1Corresponding author.

ASME doi:10.1115/1.4037422 History: Received December 16, 2016; Revised July 22, 2017

Abstract

The paper presents a computational study of steady, laminar, two-dimensional mixed convection heat transfer from a continuously moving isothermal vertical plate to alumina-water nanofluid as in hot extrusion. The simulation is based on a heterogeneous flow model which takes into account Brownian diffusion and thermophoresis of nanoparticles. The finite-difference method is used to discretize the governing equations. The SIMPLE algorithm has been applied to obtain flow, thermal and nanoparticle concentration fields. The numerical results have been validated satisfactorily with the published results for pure fluids. A detailed parametric study reveals that in the mixed convection regime the Enhancement Factor (defined as the ratio of average heat transfer coefficient in nanofluid to that in base fluid) increases with nanoparticle concentration. The enhancement is more at lower Richardson number (Gr/Re2), that is, closer to forced convection regime. In the regime close to free convection the enhancement factor is found to be very small. Larger plate velocity (that is, higher Reynolds number) has a positive effect on heat transfer enhancement but higher plate-fluid temperature difference results in lower enhancement factor. An enhancement in heat transfer coefficient as high as 22% is realised at the plate velocity of 0.4 m/s. The Effectiveness (defined as the ratio of average heat transfer coefficient in nanofluid to the power required to pull the plate), in general, falls with higher volume fraction of nanoparticles and plate velocity, and escalates with rise in Richardson number and plate-fluid temperature difference.

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