Abstract

A meshless numerical scheme combining the operator splitting method (OSM), the radial basis function (RBF) interpolation, and the method of fundamental solutions (MFS) is developed for solving transient nonlinear bioheat problems in two-dimensional (2D) skin tissues. In the numerical scheme, the nonlinearity caused by linear and exponential relationships of temperature-dependent blood perfusion rate (TDBPR) is taken into consideration. In the analysis, the OSM is used first to separate the Laplacian operator and the nonlinear source term, and then the second-order time-stepping schemes are employed for approximating two splitting operators to convert the original governing equation into a linear nonhomogeneous Helmholtz-type governing equation (NHGE) at each time step. Subsequently, the RBF interpolation and the MFS involving the fundamental solution of the Laplace equation are respectively employed to obtain approximated particular and homogeneous solutions of the nonhomogeneous Helmholtz-type governing equation. Finally, the full fields consisting of the particular and homogeneous solutions are enforced to fit the NHGE at interpolation points and the boundary conditions at boundary collocations for determining unknowns at each time step. The proposed method is verified by comparison of other methods. Furthermore, the sensitivity of the coefficients in the cases of a linear and an exponential relationship of TDBPR is investigated to reveal their bioheat effect on the skin tissue.

Highlights

  • It is widely recognized that accurate and fast prediction of temperature distribution in biological tissues is important in various practical diagnostics

  • We aim to develop a mixed meshless method for analyzing transient nonlinear bioheat transfer in 2D skin tissue by way of the operator splitting method

  • The efficiency and accuracy of the proposed method for analyzing transient nonlinear bioheat transfer in 2D skin tissue are validated by the finite element software ANSYS through a benchmark example

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Summary

Introduction

It is widely recognized that accurate and fast prediction of temperature distribution in biological tissues is important in various practical diagnostics. Several linear or nonlinear steady-state bioheat models involving changed thermal conductivity and blood perfusion rate have been numerically solved to analyze the induced temperature distribution in biological tissues [3,4,5,6,7,8]. A non-Fourier heat conduction model in one-dimensional multilayered systems was analyzed by Laplace transform and the fast inversion technique [9,10,11]. A model for describing transient nonlinear bioheat transfer model in two-dimensional (2D) skin tissue is developed

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