4.7 Article

The Effect of Fractional Derivatives on Thermo-Mechanical Interaction in Biological Tissues during Hyperthermia Treatment Using Eigenvalues Approach

Journal

FRACTAL AND FRACTIONAL
Volume 7, Issue 6, Pages -

Publisher

MDPI
DOI: 10.3390/fractalfract7060432

Keywords

living tissue; fractional time derivatives; analytical solutions; thermo-mechanical interactions; Laplace transform; thermal relaxation time

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This article investigates the impact of fractional time derivatives on thermo-mechanical interactions in living tissue during hyperthermia treatment using the eigenvalues approach. Understanding the heat transfer mechanism and its interactions with living tissues is crucial for effective thermal treatment. The study applies Laplace transforms and the eigenvalue approach to analyze the bio-thermo-elastic model, providing analytical solutions. Graphical representations are presented for temperature, displacement, and thermal stress. Additionally, a parametric study is conducted to identify the best method for selecting design parameters that enhance the precision of hyperthermia therapies.
This article studies the effects of fractional time derivatives on thermo-mechanical interaction in living tissue during hyperthermia treatment by using the eigenvalues approach. A comprehensive understanding of the heat transfer mechanism and the related thermo-mechanical interactions with the patient's living tissues is crucial for the effective implementation of thermal treatment procedures. The surface of living tissues is traction-free and is exposed to a pulse boundary heat flux that decays exponentially. The Laplace transforms and their associated techniques are applied to the generalized bio-thermo-elastic model, and analytical procedures are then implemented. The eigenvalue approach is utilized to obtain the solution of governing equations. Graphical representations are given for the temperature, the displacement, and the thermal stress results. Afterward, a parametric study was carried out to determine the best method for selecting crucial design parameters that can improve the precision of hyperthermia therapies.

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