Variation of Parameters Method for Thermal Analysis of Straight Convective- Radiative Fins with Temperature Dependent Thermal Conductivity
Journal: Journal of Computational Applied Mechanics (Vol.49, No. 1)Publication Date: 2018-03-01
Authors : Akinbowale Akinshilo; Joseph Olofinkua;
Page : 125-132
Keywords : Analysis; fins; Convection; Radiation; variation of parameters method;
Abstract
In this study, thermal performance across straight convecting- radiating fin with temperature dependent thermal conductivity is considered. The variation of parameters (VPM) is adopted to analyze the nonlinear higher order differential equations arising due to thermal conductivity and heat transfer coefficient on temperature distribution. Pertinent parameters such as thermo geometric and radiation parameters effect on temperature profile are investigated. Result obtained illustrates that quantitative increase of thermo geometric parameter causes a significant increase in temperature distribution due to increase in ratio of convective to conduction heat transfer which influence is significant toward fin base while increasing radiation parameter leads to decrease in temperature distribution due to increasing heat transfer from fins surface to ambient environment . Comparative analysis of result obtained in study against literature proves to be in satisfactory agreement. Therefore study provides useful insight to fins operational performance in applications such as radiators, boilers, refrigeration devices, oil pipelines amongst others.
Other Latest Articles
- Free vibration and buckling analysis of third-order shear deformation plate theory using exact wave propagation approach
- Free Vibration Analysis of Nanoplates Made of Functionally Graded Materials Based On Nonlocal Elasticity Theory Using Finite Element Method
- On the Thermal Conductivity of Carbon Nanotube/Polypropylene Nanocomposites by Finite Element Method
- Numerical and Neural Network Modeling and control of an Aircraft Propeller
- An Investigation on the Effects of Optimum Forming Parameters in Hydromechanical Deep Drawing Process Using the Genetic Algorithm
Last modified: 2022-06-23 04:17:54