Abstract

Logistic versions of the heat balance integral and refined integral methods are introduced. A benchmark with a one-phase Stefan problem under constant and time-dependent boundary conditions shows remarkable accuracy at estimating temperature distribution and position of the moving front.

Highlights

  • We introduce a logistic variant of the heat balance integral method HBIM and its refinement, the refined integral method RIM for the solution of a 1 1 dimensional one-phase Stefan melting problem

  • It relies a bit on the geometry of the error function, which is sigmoid, and more on the fact that given limited resources, growth for many dynamical systems is better modeled by logistic functions rather than the exponential ones 21

  • Based on 2.10, error comparison with the Gaussian HBIM of temperature and moving front estimates obtained through the Logistic Heat Balance Integral Method (LHBIM) for β ∈ K values are given, respectively, in Tables 2 and 3

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Summary

Introduction

We introduce a logistic variant of the heat balance integral method HBIM and its refinement, the refined integral method RIM for the solution of a 1 1 dimensional one-phase Stefan melting problem. It is known that the Gaussian variant by Mosally et al 14 and Mitchell and Myers 17 is prescriptively one of the most accurate variants in current literature for obtaining approximate solutions of the 1 1 -dimensional one-phase Stefan melting problem. It relies a bit on the geometry of the error function, which is sigmoid, and more on the fact that given limited resources, growth for many dynamical systems is better modeled by logistic functions rather than the exponential ones 21.

Logistic Integral Methods
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