Thermal performance of straight porous fin with variable thermal conductivity under magnetic field and radiation effects

Madhura, K. R.; Babitha,; Kalpana, G.; Makinde, Oluwole Daniel

doi:10.1002/htj.21864

Cited by 21 publications

(9 citation statements)

References 27 publications

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“…Ndlovu and Moitsheki 8 discussed the one-dimensional heat transport and thermal aspects in a moveable porous straight fin of the uniform area of cross-section. With the impact of radiative, magnetic, and convective mechanisms, Madhura et al 9 depicted the features of the thermal field of a permeable longitudinal fin. The sinc collocation method was executed to study the thermal behavior of permeable fin by Nabati et al 10 under the influence of magnetic force.…”

Section: Introductionmentioning

confidence: 99%

Assessment of thermal distribution through an inclined radiative-convective porous fin of concave profile using generalized residual power series method (GRPSM)

Kumar

Sowmya

Jayaprakash

et al. 2022

Sci Rep

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The thermal distribution in a convective-radiative concave porous fin appended to an inclined surface has been examined in this research. The equation governing the temperature and heat variation in fin with internal heat generation is transformed using non-dimensional variables, and the resulting partial differential equation (PDE) is tackled using an analytical scheme, generalized residual power series method (GRPSM). Moreover, a graphical discussion is provided to examine the consequence of diverse non-dimensional variables including the parameters of convection-conduction, ambient temperature, radiation, heat generation, and porosity effect on the thermal field of the fin. Also, a graph is plotted to analyze the variations in unsteady temperature gradient using the finite difference method (FDM) and generalized residual power series method (GRPSM). The major result of this investigation unveils that as the convection-conduction parameter scale upsurges, the distribution of temperature in the fin diminishes. For the heat-generating parameter, the thermal distribution inside the fin increases.

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Section: Introductionmentioning

confidence: 99%

Assessment of thermal distribution through an inclined radiative-convective porous fin of concave profile using generalized residual power series method (GRPSM)

Kumar

Sowmya

Jayaprakash

et al. 2022

Sci Rep

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“…Where A is the constant determined by Equation (11). A power series of order 4 is constructed using Equation ( 16) to (19), which is given as:…”

Section: Implementation Of Dtm-pade Approximantmentioning

confidence: 99%

“…The magnetic consequence on the thermal profile of the permeable fin is studied by Nabati et al [18] with the consideration of the Rosseland approximation. Madhura et al [19] delineated the thermal performance of a longitudinal fin in the magnetic environment with radiation and convection phenomenon. Das and Kundu [20] explicated the temperature variance through the circular fin with the influence of magnetic field.…”

Section: Introductionmentioning

confidence: 99%

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Performance analysis of a longitudinal fin under the influence of magnetic field using differential transform method with Pade approximant

Sowmya

Kumar²,

Srilatha

et al. 2022

Z Angew Math Mech

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The temperature distribution in a longitudinal fin with magnetic field due to conductive-convective-radiative heat transfer is debriefed in this research article. Thermal properties of the fin material, such as thermal conductivity and heat transfer coefficient, have been considered to vary non-linearly with local temperature whereas surface emissivity has been taken to be constant. The main governing equation of the current model is developed with the aid of Fourier's law of heat conduction, exponentially temperature-dependent thermal conductivity, Maxwell expression for the effect of the magnetic field, and powerlaw temperature-dependent heat transfer coefficient. This equation is converted into a non-dimensional form using dimensionless variables and then traced out numerically with the assist of Runge-Kutta Fehlberg's fourth-fifth method. Also, the transformed nonlinear energy equation is solved using a DTM-Pade approximant, yielding an approximate closed-form solution. The findings of the analytical and numerical investigation are depicted graphically. The outcomes have divulged that the convective and radiative parameters significantly decrease the temperature distribution and improve convective cooling from the fin surface. The rise in the Hartmann number is responsible for the decreasing of the temperature distribution and it aids in accelerating heat transfer.

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“…One of the most straightforward and efficient methods to improve the heat transfer quality is using the fins, so it is not surprising that many numerical or experimental types of research forms have been conducted in that area 1–6 . In general, fins exchange heat with their surroundings in the form of convection, radiation, conduction, or a combination of these methods.…”

Section: Introductionmentioning

confidence: 99%

Thermal analysis of a moving fin using the radial basis function approximation

et al. 2021

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In this study, the heat transfer and temperature distribution in a moving fin have been analyzed. The fin velocity was considered constant, and the thermal conductivity coefficient was variable with temperature, and the fin was under the effect of convection, radiation, and conduction heat transfer. The main equation of the problem was solved by the radial basis function method and validated by the numerical 4th‐order Runge–Kutta method. Several parameters such as thermal conductivity parameter from 0 to 1, sink temperature parameter from 0.2 to 0.8, and Nr, Nc, Pe number from 1 to 4, were examined. The outcomes illustrate that increasing the thermal conductivity by 51.5% raises the conduction heat transfers as well as the dimensionless temperature by 3.42%. Moreover, increasing the sink temperature leads to a slow rise in ambient temperature by 22.8% in the maximum state. By raising the Nc and Nr parameters, near 33.3%, the temperature distribution profile is declined by 4% and 10.5%, respectively. And increasing the Pe number by 100% results in a rise in the temperature distribution by about 7%.

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Thermal performance of straight porous fin with variable thermal conductivity under magnetic field and radiation effects

Cited by 21 publications

References 27 publications

Assessment of thermal distribution through an inclined radiative-convective porous fin of concave profile using generalized residual power series method (GRPSM)

Assessment of thermal distribution through an inclined radiative-convective porous fin of concave profile using generalized residual power series method (GRPSM)

Performance analysis of a longitudinal fin under the influence of magnetic field using differential transform method with Pade approximant

Thermal analysis of a moving fin using the radial basis function approximation

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