4.7 Article

Entropy generation analysis for non-Newtonian nanofluid with zero normal flux of nanoparticles at the stretching surface

Journal

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jtice.2016.03.006

Keywords

Jeffery nanofluid; Viscous dissipation; Entropy generation; Analytic and numerical approach; Brownian motion and thermophoresis

Funding

  1. National Research Foundation of Korea (NRF) grant - Kor can government (MSIP) [20090093134, 2014R1A2A2A01006544]
  2. National Research Foundation of Korea [2014R1A2A2A01006544] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The primary objective of the present analysis is to investigate the entropy generation via two important slip mechanism Brownian motion and thermophoresis diffusion in non-Newtonian nanofluid flow. These effects are analyzed by momentum equation along with a newly formed equation for nanoparticle distribution. Conventional energy equation is modified for the nanofluid by incorporation nanoparticles effects. The condition for zero normal flux of nanoparticles at the stretching sheet is defined to impulse the particles away from surface. To measure the disorder in the thermodynamic system an entropy generation analysis is discussed for present Jeffery nanofluid model. In order to solve the governing equations, compatible similarity transformations are used to obtain a set of higher order non-linear differential equations. An optimal homotopy analysis method (OHAM) and Keller Box Method are used to solve the given system of higher order nonlinear differential equations. Effect of emerging parameters such as Prandtl number, Schmidt number, Brownian motion and thermophoresis on temperature and concentration are shown through graphs. Variations in the entropy generation for different emerging parameters are discussed in detail with the help of graphical results. Also, the coefficient of skin friction, Nusselt number, Sherwood number and characteristic entropy generation rate are presented through graphs. (C) 2016 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

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