The effect of radiation and porosity on MHD nanofluid flow and heat transfer across a stretching cylinder

The present article mainly focuses on the transient thermal dispersal within a moving plate using the non-Fourier heat flux model. Furthermore, the innovative, sophisticated artificial neural network strategy with the Levenberg-Marquardt backpropagated scheme (ANNS-LMBS) is proposed for determining the transient temperature in the convective-radiative plate. Using dimensionless terms, the energy model for transient heat exchange is simplified into a non-dimensional form. The arising partial differential equation (PDE) is then numerically tackled using the finite difference method (FDM). A data set for the various scenarios of the thermal parameters influencing the thermal variation through the plate has been generated using the FDM. In addition, the effect of the dimensionless physical variables on the thermal profile of a moving plate has been examined and discussed in detail. Increments in the convection-conduction and radiation-conduction parameters are figured to yield a reduction in the transient thermal dispersion. An upsurge in the Peclet number caused the improvement of thermal dispersal in the plate.

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The effect of radiation and porosity on MHD nanofluid flow and heat transfer across a stretching cylinder

Cited by 2 publications

References 29 publications

Two layer film flow on an unsteady stretching cylinder

Two layer film flow on an unsteady stretching cylinder

Backpropagated Neural Network Modeling for the Non-Fourier Thermal Analysis of a Moving Plate

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