2019
DOI: 10.24200/sci.2019.50073.1494
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Numerical study of hydrothermal characteristics in nanofluid using KKL model with effect of Brownian motion

Abstract: Finite Element Method (FEM) is used to study hydrothermal characteristics of nano-uid subjected to Brownian motion. For e ective thermal conductivity and viscosity, Koo-Kleinstreuer-Li (KKL) model is used. It is observed that the dispersion of nano-particles in Newtonian liquid causes a signi cant increase in the e ective thermal conductivity. The results based on the dispersion of nano-particles help engineers design an e cient thermal system. The signi cant role of viscous dissipation in di usion of momentum… Show more

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Cited by 5 publications
(5 citation statements)
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“…The finite element technique (FEM [36][37][38][39][40][41][42][43][44][45][46][47]) is applied to the coupled nonlinear problems equations (7)- (10). The set of nonlinear equations is stated in their suitable residuals form and then converted into weak form.…”
Section: Numerical Schemementioning
confidence: 99%
“…The finite element technique (FEM [36][37][38][39][40][41][42][43][44][45][46][47]) is applied to the coupled nonlinear problems equations (7)- (10). The set of nonlinear equations is stated in their suitable residuals form and then converted into weak form.…”
Section: Numerical Schemementioning
confidence: 99%
“…This challenge is tackled by FEM. Detailed FEM implementation to nonlinear fluid flow problems can be seen in [33][34][35][36][37][38][39][40][41][42]. The coupled nonlinear system of algebraic equations are linearized by Picard linearization and the linearized system is solved iteratively under computational tolerance -10 .…”
Section: Fem Approachmentioning
confidence: 99%
“…Physical situations and its mathematical modeling is given in section two. The modeled problems are solved by the most suitable technique FEM has been used in [33][34][35][36][37][38][39][40][41][42]. Section three is for numerical procedure.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, numerical methods are excellent for the initial perception of nano-fluid flow behavior. As a result, different numerical studies had been done for nano-fluid flow [15][16][17][18].The literature review shows that valuable numerical simulations have been performed to predict the behavior of the nano-fluids. However, the unknown nature of the involved mechanisms, is still a big challenge to completely cover the thermal behavior of these fluids, so that in some cases the numerical simulations are considerably far from the experimental data.…”
Section: Introductionmentioning
confidence: 99%