2021
DOI: 10.1108/wje-11-2020-0587
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Numerically framing the impact of magnetic field on nanofluid flow over a curved stretching surface with convective heating

Abstract: Purpose Outstanding features such as thermal conductivity and superior electrical conductivity of nanofluids unfold a new window in the context of their extensive applications in engineering and industrial domains. The purpose of this study to simulate numerically the magneto-nanofluid flow and heat transfer over a curved stretching surface. Heat transport is explored in the presence of viscous dissipation. At the curved surface, the convective boundary condition is adopted. Three different nanoparticles, name… Show more

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Cited by 12 publications
(1 citation statement)
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“…The governing equations satisfy: 44–49 with 50–52 In the above expressions ( u , v ) depict velocity components, μ hnf the dynamic viscosity, ρ hnf the density, ( r , s ) signify the Cartesian coordinates, σ hnf the electrical conductivity, the inertia coefficient, k p the porous medium permeability coefficient, R the radius of curvature, ( ρc p ) hnf the heat capacitance, C b the drag force coefficient, L the reference length, T the temperature, k hnf the thermal conductivity, c p the specific heat, T ∞ the ambient temperature, δ E the heat relaxation time, B 0 the magnetic field strength, T w the wall temperature and p the pressure.…”
Section: Modelingmentioning
confidence: 99%
“…The governing equations satisfy: 44–49 with 50–52 In the above expressions ( u , v ) depict velocity components, μ hnf the dynamic viscosity, ρ hnf the density, ( r , s ) signify the Cartesian coordinates, σ hnf the electrical conductivity, the inertia coefficient, k p the porous medium permeability coefficient, R the radius of curvature, ( ρc p ) hnf the heat capacitance, C b the drag force coefficient, L the reference length, T the temperature, k hnf the thermal conductivity, c p the specific heat, T ∞ the ambient temperature, δ E the heat relaxation time, B 0 the magnetic field strength, T w the wall temperature and p the pressure.…”
Section: Modelingmentioning
confidence: 99%