Heat transfer analysis in magnetohydrodynamic nanofluid flow induced by a rotating rough disk with non-Fourier heat flux: aspects of modified Maxwell–Bruggeman and Krieger–Dougherty models

Srilatha, Pudhari; J, Madhu; Khan, Umair; Kumar, R. Naveen; Gowda, R. J. Punith; Ben Ahmed, Samia; Kumar, Raman

doi:10.1039/d3na00711a

Cited by 17 publications

(1 citation statement)

References 45 publications

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“…Reddy et al [7] investigated the heat transfer characteristics of an incompressible viscous fluid. Some important studies on nanofluids' heat transfer and flow properties can be explored in refs [8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the thermal analysis of a wavy fin with radiation impact: an application of extreme learning machine

Prakash,

Chandan,

Karthik

et al. 2023

Phys. Scr.

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The combined impact of radiation and convection on the heat transfer of a wavy fin is scrutinized in the present analysis. The novelty of this research work is that it proposes a deterministic machine learning model known as an extreme learning machine to address the heat transfer problem of a wavy fin. The effect of radiation on convective heat transfer and the Rosseland approximation for the radiation heat exchange have been considered in the investigation. The nonlinear ordinary differential equation (ODE) is converted to its nondimensional form using the appropriate dimensionless variables. Runge-Kutta-Fehlberg's fourth-fifth order technique (RKF 45) is used to solve the nondimensional ODE numerically. The roles of convection-conduction, radiation-conduction, thermal conductivity, and radiation parameters have been discussed for satisfying a prescribed temperature distribution in rectangular and wavy fins with graphical visualization. A rise in convection-conduction and radiation-conduction variables decreased the thermal distribution of both the wavy fin and rectangular fin. Further, ANSYS simulation analyzes the variation of temperature and total heat flux in both rectangular and wavy fins. The study demonstrates the effectiveness of the model selected through the obtained results, which indicate the potential of the regression model for providing an accurate prediction.

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Section: Introductionmentioning

confidence: 99%

Investigation of the thermal analysis of a wavy fin with radiation impact: an application of extreme learning machine

Prakash,

Chandan,

Karthik

et al. 2023

Phys. Scr.

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Impact of wall velocity ratios on mixed convection heat transfer in porous cavities with nanoliquids

Rajarathinam,

Haq,

Nithyadevid

et al. 2024

J Therm Anal Calorim

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Heat transport of radiative ternary hybrid nanofluid over a convective stretching sheet with induced magnetic field and heat source/sink

Sharma,

Badak

2024

J Therm Anal Calorim

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Heat transfer analysis in magnetohydrodynamic nanofluid flow induced by a rotating rough disk with non-Fourier heat flux: aspects of modified Maxwell–Bruggeman and Krieger–Dougherty models

Abstract: Non-Newtonian fluids have unique heat transfer properties compared to Newtonian fluids.

Cited by 17 publications

References 45 publications

Investigation of the thermal analysis of a wavy fin with radiation impact: an application of extreme learning machine

Investigation of the thermal analysis of a wavy fin with radiation impact: an application of extreme learning machine

Impact of wall velocity ratios on mixed convection heat transfer in porous cavities with nanoliquids

Heat transport of radiative ternary hybrid nanofluid over a convective stretching sheet with induced magnetic field and heat source/sink

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