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首页> 外文期刊>Case Studies in Thermal Engineering >A new boundary element algorithm for a general solution of nonlinear space-time fractional dual-phase-lag bio-heat transfer problems during electromagnetic radiation
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A new boundary element algorithm for a general solution of nonlinear space-time fractional dual-phase-lag bio-heat transfer problems during electromagnetic radiation

机译:一种新的边界元算法,用于电磁辐射期间非线性空间分数双相滞后生物传热问题的一般解

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The main aim of this paper is to propose a new boundary element method (BEM) formulation for solving the nonlinear space-time fractional dual-phase-lag bio-heat transfer problems during electromagnetic radiation. Due to the advantages of BEM, such as not requiring a discretization of the interior of the treated region and providing a low RAM and CPU time. BEM is therefore a ?exible and effcient tool for modeling bio-heat transfer problems. The effciency of our proposed methodology has been improved by applying the communication-avoiding versions of the Arnoldi (CA-Arnoldi) preconditioner for solving the resulting linear systems arising from the BEM to reduce the iterations number and CPU time. Numerical results are depicted graphically to show the effects of time-fractional derivative order and space-fractional derivative order on the nonlinear temperature distributions. The numerical results also show the signifcant differences between the nonlinear temperature distributions of the classical Fourier, single-phase-lag, and dual-phase-lag bio-heat conduction models. To demonstrate the validity and accuracy of the proposed BEM methodology, numerical solutions for two-dimensional (2D) special case of the nonlinear space-time fractional dual phase lag bio-heat transfer problems are obtained and compared to experimental, Legendre wavelet collocation method (LWCM) and Fractional order Legendre functions and Galerkin method (FOLFs-GM).
机译:本文的主要目的是提出一种新的边界元法(BEM)配方,用于解决电磁辐射期间的非线性空间时间分数双相 - 滞后生物传热问题。由于BEM的优点,例如不需要经处理区域的内部的离散化并提供低RAM和CPU时间。因此,BEM是一种用于建模生物传热问题的兴奋剂和效果工具。通过应用Arnoldi(CA-Arnoldi)预处理器的通信避免版本来解决所产生的线性系统,以解决来自BEM的所产生的线性系统来减少迭代编号和CPU时间来提高我们提出的方法的效率。图以图形方式描绘了数值结果,以显示时间分数衍生顺序和空间 - 分数衍生顺序对非线性温度分布的影响。数值结果还显示了经典傅里叶,单相滞后和双相滞后生物导热模型的非线性温度分布之间的显着差异。为了证明所提出的BEM方法的有效性和准确性,获得了二维(2D)特殊情况的数值解,并获得了非线性空间分数分数滞后生物传热问题的特殊情况,并与实验,Legendre小波封闭方法进行比较( LWCM)和分数级乘积功能和Galerkin方法(Folfs-GM)。

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