Outcome of a Magnetic Field on Heat Transfer of Carbon Nanotubes (CNTs)-Suspended Nanofluids by Shooting Type Laplace–Adomian Decomposition Method (LADM)

Vennila, B.; Nithya, N.; Kabilan, M.

doi:10.1007/978-981-16-8496-8_19

Cited by 1 publication

(1 citation statement)

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“…Recently, Jabeeb et al [5] analyzed the MHD flow over a nonlinear stretching sheet and solved the steady, in compressible problems using computational software with various standard techniques. Vennila et al [6] investigated an outcome of a magnetic field on heat transfer carbon nanotubes suspended nanofluids by shooting type of Laplace Adomian decomposition method. Mabood et al [7] introduced a notion of heat transfer of nanofluid flow over a stretching sheet in an occurrence of a magnetic field by the Runge-Kutta-Fehlberg fourthfifth order method.…”

Section: Introductionmentioning

confidence: 99%

MHD Nanofluid boundary layer flow over a stretching sheet with viscous, ohmic dissipation

Nithya¹,

Vennila²

2023

Math. Model. Comput.

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The objective of this research is to examine the steady incompressible two-dimensional hydromagnetic boundary layer flow of nanofluid passing through a stretched sheet in the influence of viscous and ohmic dissipations. The present problem is obtained with the help of an analytical technique called DTM-Pade Approximation. The mathematical modeling of the flow is considered in the form of the partial differential equation and is transformed into a differential equation through suitable similarity transformation. The force of fixed parameters like thermophoresis number Nt, Brownian motion number Nb, Prandtl number Pr, Lewis number Le, Magnetic field M, suction/injection S and Eckart number Ec are displayed with the aid of Figures. Our outcomes showed a greater trend in the velocity profile for the parameters of magnetics M, suction S, and nonlinear stretching parameter n. While the reverse trend is found against the temperature profile when the Prandtl number increases. Lewis number and other parameters have shown increasing behavior in the concentration profile.

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Section: Introductionmentioning

confidence: 99%