Publication Type : Journal Article
Publisher : John Wiley & Sons Inc.
Source : Heat Transfer. 51 (2022) 3313–3333
Url : https://onlinelibrary.wiley.com/doi/abs/10.1002/htj.22450
Campus : Bengaluru
School : School of Engineering
Year : 2022
Abstract : The heat transfer and thermal distribution through porous fins have gotten a lot of attention in recent years due to their extensive applications in the manufacturing and engineering field. In porous fins, the impact of magnetic field aids in improved heat transfer enhancement. Also, the combination of an electric effect and a magnetic field considerably enhances heat transfer. In this direction, the thermal distribution through a convective–radiative longitudinal trapezoidal porous fin with the impact of an internal heat source and an electromagnetic field is discussed in the present analysis. The governing heat equation is nondimensionalized with nondimensional terms, and the transformed nonlinear ordinary differential equation is solved analytically using the DTM–Pade approximant algorithm. Furthermore, the graphical discussion is presented to explore the impact of various nondimensional parameters, such as convection-conduction parameter, fin taper ratio, thermomagnetic field, radiation–conduction parameter, internal heat generation parameter, and thermoelectrical field on the temperature gradient of the fin. The investigation's key findings disclose that as the magnitude of the convection–conduction parameter, fin taper ratio, and radiation–conduction parameter increase, the thermal distribution through the fin reduces. The thermal distribution inside the fin increases for the heat-generating parameter, thermoelectric, and thermomagnetic fields.
Cite this Research Publication : R.S. Varun Kumar, I.E. Sarris, G. Sowmya, J.K. Madhukesh, B.C. Prasannakumara, Effect of electromagnetic field on the thermal performance of longitudinal trapezoidal porous fin using DTM–Pade approximant, Heat Transfer. 51 (2022) 3313–3333. [John Wiley & Sons Inc.], Impact Factor:3.6, Journal quartile: Q2