Abstract

This study aims to interpret the non-linear steady-state heat conduction for temperature-dependent thermal conductivity ($k$ ($T$)) using Element-Free Galerkin (EFG) method. In this present study, a one-dimensional heat conduction problem with uniform heat generation was explicated. Moving Least Squares (MLS) approximants were applied to estimate the unknown function of temperature $T$ ($x$) with $T^h$ ($x$) using linear basis and weight functions. The variational method has been used to develop discrete equations. Essential boundary conditions are enforced by using the Penalty method. The results have been obtained for the one-dimensional model using essential MATLAB codes. The results obtained by the EFG method are compared with the analytical and finite-element method results. The results are also studied by increasing the number of nodes to study the convergence which indicated that EFG has good convergence behavior. The results have also been obtained for different values of the scaling parameter ($α_s$) and any values of αs between 1.8 and 2.0 were found suitable for providing better results in the EFG method.

Highlights

  • This study aims to interpret the non-linear steady-state heat conduction for temperature-dependent thermal conductivity (k (T)) using Element-Free Galerkin (EFG) method

  • Moving Least Squares (MLS) approximants were applied to estimate the unknown function of temperature T (x) with Th (x) using linear basis and weight functions

  • The results obtained by the EFG method are compared with the analytical and finite-element method results

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Summary

Introduction

Change in material properties with temperature as well as temperature-dependent boundary conditions are causes of non-linearity in the conduction. Material properties like thermal conductivity (k), density (ρ) and specific heat (c) are temperature-dependent quantities. The non-linear heat conduction includes the problems of solid-liquid phase change. Metal and alloy casting, ice formation and freezing of foodstuff are few practical examples where this analysis can be employed. Conventional mesh-based numerical methods have been widely used in the analysis of many physical phenomena. For the analysis of system involving large deformation, crack propagation, etc., it is necessary to deal with the deformation of mesh, which may reduce the accuracy of the solution and the processes are extremely time-consuming

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