Open AccessThe impact of the magnetic field and viscous dissipation on the thin film unsteady flow of GO-EG/GO-W nanofluids
Author(s) -
Ali Rehman,
Zabidin Salleh,
Taza Gul
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1366/1/012031
Subject(s) - nanofluid , materials science , homotopy analysis method , ethylene glycol , magnetic field , heat transfer , exact solutions in general relativity , graphene , flow (mathematics) , nonlinear system , mechanics , thermodynamics , mathematics , mathematical analysis , physics , nanotechnology , chemistry , organic chemistry , quantum mechanics
The unsteady flow of nanoliquid film over a flexible surface has been inspected. The water and ethylene glycol are used as the base liquids for the graphene oxide platelets. The comparison of the two sorts of the nanoliquids has been used for the heat transfer enhancement applications. The thickness of the nanoliquid film kept variable under the influence of applied magnetic field and viscous dissipation. The governing equations for the flow problem have been altered into the set of nonlinear differential equations. The BVP 2.0 package has been used for the solution of the problem. The sum of the square residual error has been calculated up to the 10 th order approximations. It has been observed that the graphene oxide ethylene glycol based nanofluid (GO-EG) has more efficient for the heat transfer enhancement as compared to the graphene oxide water based nanofluid (GO-W). The impact of the physical parameters has been plotted and discussed. The problem has been solved through homotopy analysis method (HAM) as described by Liao et al. [26]. This method is frequently used for the solution of nonlinear problems and show that this method is quickly convergent to the approximate solution. This method gives us series solution in the form of function and all the physical parameter of the problem involved in this method.