Physical significance of rectangular and hyperbolic annular fin with radiation, convection and nonlinear variable properties

Jagadeesha, K. C.; Kumar, R. S. Varun; Sowmya, G.; Prasannakumara, B. C.; Khan, Muhammad Ijaz; Jameel, Mohammed; Galal, Ahmed M.

doi:10.1142/s0217979223500297

Cited by 7 publications

(1 citation statement)

References 40 publications

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“…According to their research, the exponential profile caused the highest surface temperature under conditions of surface wetness when compared to the temperature distribution of rectangularly shaped fins. Jagadeesha et al [20] considered the hyperbolic and rectangular shape of the annular fin to explicate the behavior of the heat exchange mechanism within the extended surface. According to their research, the rate at which heat is transmitted is greater for hyperbolic annular fins than for rectangular fins.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin

et al. 2023

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The present research examines the steady, one-dimensional thermal distribution and heat transfer of a wavy fin. This heat transfer analysis considers convective effects as well as temperature-dependent thermal conductivity. Furthermore, a novel implementation of a neural network with backpropagated Levenberg–Marquardt algorithm (NN-BLMA)-based machine learning intelligent strategies is provided to interpret the heat transfer analysis of a convective wavy fin. The non-linear ordinary differential equation (ODE) of the study problem is converted into its non-dimensional form using the similarity transformation technique. The dimensionless equation obtained is then numerically explored via the Runge–Kutta–Fehlberg scheme. A data set for varying the pertinent parameters is generated, and an artificial neural network model is designed to estimate the heat transfer behavior of the wavy fin. The effectiveness of the proposed NN-BLMA is subsequently endorsed by analyses using a regression model, mean square error, and histograms. The findings of comprehensive computational parametric studies illustrate that the presented technique, NN-BLMA is an effective convergent stochastic numerical solver employed for the heat transfer model of the convective wavy fin. The wavy fin’s temperature dispersion optimizes as the thermal conductivity parameter rises. Heat transfer rate is higher in wavy fin compared to rectangular fin.

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Section: Introductionmentioning

confidence: 99%

Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin

et al. 2023

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The analytical study of double diffusive convection in a rectangular enclosure bounded by porous lining with thermal radiation

Sasi Rekha,

Jawali,

Alshehri

et al. 2024

Sci Rep

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The current analytical study is dedicated to the boundary layer regime where heat and mass transfer rates are ruled by natural convection. A rectangular enclosure filled with a combination of an arbitrary buoyancy ratio has an Oseen-linear solution, and the position of Beavers and Joseph's condition is employed at the porous fluid interface. Thermal radiation's interaction with a porous lining influences overall heat transfer in a system. Porous linings and radiation are employed in many applications, such as furnaces, insulation, heat exchangers, solar energy collecting and storage, and heat control in electronics. The effect of slip and radiation is to increase the flow rate because of the reduction in friction at the surface. It indicates the fact that temperature and concentration are rapidly lowering. As the slip parameter and radiation parameter increase, the heat and mass transport increase due to the rise in velocity. The Nusselt and Sherwood numbers reach their maximum when the radiation parameter, Rayleigh number, and slip parameter are increased. The findings of the Nusslet number and Sherwood numbers are related to the finite situations of the slip parameter tending to infinity, the radiation parameter going to zero and the angle 90°.

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Impacts of thermophoretic deposition and thermal radiation on heat and mass transfer analysis of ternary nanofluid flow across a wedge

Karthik,

J K,

Kiran

et al. 2024

International Journal of Modelling and Simulation

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Physical significance of rectangular and hyperbolic annular fin with radiation, convection and nonlinear variable properties

Cited by 7 publications

References 40 publications

Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin

Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin

The analytical study of double diffusive convection in a rectangular enclosure bounded by porous lining with thermal radiation

Impacts of thermophoretic deposition and thermal radiation on heat and mass transfer analysis of ternary nanofluid flow across a wedge

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