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Approximate Analytic Solutions for the Two-Phase Stefan Problem Using the Adomian Decomposition Method
Author(s) -
Xiao-Ying Qin,
Duan Yue-xing,
Mao-Ren Yin
Publication year - 2014
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2014/391606
Subject(s) - adomian decomposition method , mathematics , convergence (economics) , analytic function , boundary (topology) , transformation (genetics) , polynomial , inverse , stefan problem , analytic element method , function (biology) , boundary value problem , phase (matter) , mathematical analysis , differential equation , thermodynamics , geometry , biochemistry , chemistry , physics , organic chemistry , finite element method , evolutionary biology , biology , economics , gene , economic growth
An Adomian decomposition method (ADM) is applied to solve a two-phase Stefan problem that describes the pure metal solidification process. In contrast to traditional analytical methods, ADM avoids complex mathematical derivations and does not require coordinate transformation for elimination of the unknown moving boundary. Based on polynomial approximations for some known and unknown boundary functions, approximate analytic solutions for the model with undetermined coefficients are obtained using ADM. Substitution of these expressions into other equations and boundary conditions of the model generates some function identities with the undetermined coefficients. By determining these coefficients, approximate analytic solutions for the model are obtained. A concrete example of the solution shows that this method can easily be implemented in MATLAB and has a fast convergence rate. This is an efficient method for finding approximate analytic solutions for the Stefan and the inverse Stefan problems

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