Numerical study of MHD hybrid nanofluid flow between two coaxial cylinders
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作者:
Alsaedi, A.
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King Abdulaziz Univ, Fac Sci, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, Jeddah, Saudi ArabiaKing Abdulaziz Univ, Fac Sci, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, Jeddah, Saudi Arabia
Alsaedi, A.
[1
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Muhammad, K.
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Quaid I Azam Univ, Dept Math, Islamabad 44000, PakistanKing Abdulaziz Univ, Fac Sci, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, Jeddah, Saudi Arabia
Muhammad, K.
[2
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Hayat, T.
[2
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[1] King Abdulaziz Univ, Fac Sci, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, Jeddah, Saudi Arabia
[2] Quaid I Azam Univ, Dept Math, Islamabad 44000, Pakistan
Numerical study for flow of a hybrid nanofluid between two coaxial cylinders organized. Nanomaterial consists of graphene oxide (GO) and copper (Cu) nanoparticles in Kerosene oil base fluid. This hybrid nanofluid is taken between two coaxial cylinders. Inner cylinder is fixed while the outer cylinder exhibits rotation. A uniform magnetic field is taken along radial direction for examining flow and heat transfer characteristics. Joule heating is also accounted. Mathematical modeling is terms of ODEs (Ordinary Differential Equations) is constructed. These ODEs are nondimensionalized through appropriate variables. Such ODEs are then numerically tackled by bvp4c (built-in-shooting technique along with RK-4 algorithm) for solutions developed. Fluid velocity, pressure, skin friction, fluid temperature and Nusselt number are evaluated graphically under the effects of sundry variables. Higher magnetic parameter cause decline in velocity of both hybrid nanofluid (GO + Cu/Kerosene oil) and nanofluid (Cu/Kerosene oil). Temperature of both hybrid nanofluid (GO + Cu/Kerosene oil) and nanofluid (Cu/Kerosene oil) boosts for higher magnetic and Brinkman parameters. Decay in temperature in noticed against higher nanoparticle volume fraction for cupper. Nusselt number intensifies for nanoparticle volume fractions for both copper and graphene oxide nanoparticles.(c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).