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Article

Identification of Time-Wise Thermal Diffusivity, Advection Velocity on the Free-Boundary Inverse Coefficient Problem

1
Department of Mathematics, College of Science, University of Baghdad, Baghdad 10071, Iraq
2
Department of Computing and Mathematics, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester M15 6BX, UK
3
Department of Mathematics, Misurata University, Misurata P.O. Box 2478, Libya
4
Department of Mathematics, College of Science, University of Sulaymaniyah, Sulaymaniyah 46001, Iraq
5
Department of Energy, College of Engineering Al-Musayab, University of Babylon, Babylon 51002, Iraq
*
Authors to whom correspondence should be addressed.
Mathematics 2024, 12(17), 2629; https://doi.org/10.3390/math12172629 (registering DOI)
Submission received: 17 May 2024 / Revised: 6 August 2024 / Accepted: 9 August 2024 / Published: 24 August 2024
(This article belongs to the Special Issue Advances in Computational Mathematics and Applied Mathematics)

Abstract

This paper is concerned with finding solutions to free-boundary inverse coefficient problems. Mathematically, we handle a one-dimensional non-homogeneous heat equation subject to initial and boundary conditions as well as non-localized integral observations of zeroth and first-order heat momentum. The direct problem is solved for the temperature distribution and the non-localized integral measurements using the Crank–Nicolson finite difference method. The inverse problem is solved by simultaneously finding the temperature distribution, the time-dependent free-boundary function indicating the location of the moving interface, and the time-wise thermal diffusivity or advection velocities. We reformulate the inverse problem as a non-linear optimization problem and use the lsqnonlin non-linear least-square solver from the MATLAB optimization toolbox. Through examples and discussions, we determine the optimal values of the regulation parameters to ensure accurate, convergent, and stable reconstructions. The direct problem is well-posed, and the Crank–Nicolson method provides accurate solutions with relative errors below 0.006% when the discretization elements are M=N=80. The accuracy of the forward solutions helps to obtain sensible solutions for the inverse problem. Although the inverse problem is ill-posed, we determine the optimal regularization parameter values to obtain satisfactory solutions. We also investigate the existence of inverse solutions to the considered problems and verify their uniqueness based on established definitions and theorems.
Keywords: parabolic heat equation; finite-difference method (FDM); Crank–Nicolson method; inverse coefficient identification problem; optimization tool; MATLAB; free-boundary problem parabolic heat equation; finite-difference method (FDM); Crank–Nicolson method; inverse coefficient identification problem; optimization tool; MATLAB; free-boundary problem

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MDPI and ACS Style

Hussein, M.S.; Dyhoum, T.E.; Hussein, S.O.; Qassim, M. Identification of Time-Wise Thermal Diffusivity, Advection Velocity on the Free-Boundary Inverse Coefficient Problem. Mathematics 2024, 12, 2629. https://doi.org/10.3390/math12172629

AMA Style

Hussein MS, Dyhoum TE, Hussein SO, Qassim M. Identification of Time-Wise Thermal Diffusivity, Advection Velocity on the Free-Boundary Inverse Coefficient Problem. Mathematics. 2024; 12(17):2629. https://doi.org/10.3390/math12172629

Chicago/Turabian Style

Hussein, M. S., Taysir E. Dyhoum, S. O. Hussein, and Mohammed Qassim. 2024. "Identification of Time-Wise Thermal Diffusivity, Advection Velocity on the Free-Boundary Inverse Coefficient Problem" Mathematics 12, no. 17: 2629. https://doi.org/10.3390/math12172629

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