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Research Article | Open Access

Fractional heat transfer DPL model incorporating an exponential Rabotnov kernel to study an infinite solid with a spherical cavity

Ahmed E. Abouelregal1( )Faisal Alsharif2Hashem Althagafi3Yazeed Alhassan1
Mathematics Department, College of Science, Jouf University, P.O. Box 2014, Sakaka, Saudi Arabia
Department of Mathematics, College of Science, Taibah University, Al-Madinah Al-Munawarah, Saudi Arabia
Mathematics Department, Faculty of Science, Umm Al-Qura University, Makkah 21955, Saudi Arabia
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Abstract

The objective of this study was to investigate the thermodynamic reactions of thermoelastic materials by utilizing a modified mathematical fractional thermoelastic model. This model combines a fractional derivative with Rabotnov's exponential kernel and the idea of a two-phase delay, which makes it possible to show thermoelastic behavior more accurately. The model was utilized to investigate an unbounded material with a spherical cavity subjected to a decreasing and shifting heat flux on its inner surface. The problem was solved using analytical approaches, with a strong focus on the Laplace transform. The transform was numerically inverted to provide time-domain results. The study presented graphs that compared the outcomes of utilizing a single kernel fractional derivative with the results obtained using the Rabotnov kernel and fractional order. These graphs showed how the Rabotnov kernel and fractional order affected the physical fields under investigation. This novel theoretical framework has the potential to be advantageous in diverse domains, including engineering, solid mechanics, and materials science.

CLC number: 35B35, 37L30, 74F05, 74H10, 80A19

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AIMS Mathematics
Pages 18374-18402

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Cite this article:
Abouelregal AE, Alsharif F, Althagafi H, et al. Fractional heat transfer DPL model incorporating an exponential Rabotnov kernel to study an infinite solid with a spherical cavity. AIMS Mathematics, 2024, 9(7): 18374-18402. https://doi.org/10.3934/math.2024896

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Received: 09 February 2024
Revised: 16 May 2024
Accepted: 21 May 2024
Published: 15 July 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)