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皮肤组织内非线性双相滞后生物热传递方程的数值解。

Numerical solution of non-linear dual-phase-lag bioheat transfer equation within skin tissues.

作者信息

Kumar Dinesh, Kumar P, Rai K N

机构信息

DST-CIMS, Institute of Science, BHU, Varanasi, India.

Department of Mathematical Sciences, IIT(BHU), Varanasi, India.

出版信息

Math Biosci. 2017 Nov;293:56-63. doi: 10.1016/j.mbs.2017.08.009. Epub 2017 Aug 30.

Abstract

This paper deals with numerical modeling and simulation of heat transfer in skin tissues using non-linear dual-phase-lag (DPL) bioheat transfer model under periodic heat flux boundary condition. The blood perfusion is assumed temperature-dependent which results in non-linear DPL bioheat transfer model in order to predict more accurate results. A numerical method of line which is based on finite difference and Runge-Kutta (4,5) schemes, is used to solve the present non-linear problem. Under specific case, the exact solution has been obtained and compared with the present numerical scheme, and we found that those are in good agreement. A comparison based on model selection criterion (AIC) has been made among non-linear DPL models when the variation of blood perfusion rate with temperature is of constant, linear and exponential type with the experimental data and it has been found that non-linear DPL model with exponential variation of blood perfusion rate is closest to the experimental data. In addition, it is found that due to absence of phase-lag phenomena in Pennes bioheat transfer model, it achieves steady state more quickly and always predict higher temperature than thermal and DPL non-linear models. The effect of coefficient of blood perfusion rate, dimensionless heating frequency and Kirchoff number on dimensionless temperature distribution has also been analyzed. The whole analysis is presented in dimensionless form.

摘要

本文研究了在周期性热流边界条件下,使用非线性双相滞后(DPL)生物热传递模型对皮肤组织中的热传递进行数值建模和模拟。假设血液灌注率与温度相关,这导致了非线性DPL生物热传递模型,以便预测更准确的结果。采用基于有限差分和龙格 - 库塔(4,5)格式的线数值方法来求解当前的非线性问题。在特定情况下,获得了精确解并与当前数值格式进行比较,发现两者吻合良好。当血液灌注率随温度的变化为常数、线性和指数类型时,基于模型选择标准(AIC)对非线性DPL模型与实验数据进行了比较,发现血液灌注率呈指数变化的非线性DPL模型最接近实验数据。此外,发现由于彭尼斯生物热传递模型中不存在相位滞后现象,它能更快地达到稳态,并且预测的温度总是高于热模型和DPL非线性模型。还分析了血液灌注率系数、无量纲加热频率和基尔霍夫数对无量纲温度分布的影响。整个分析以无量纲形式呈现。

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