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

被引:32
|
作者
Kumar, Dinesh [1 ]
Kumar, P. [2 ]
Rai, K. N. [2 ]
机构
[1] BHU, Inst Sci, DST CIMS, Varanasi, Uttar Pradesh, India
[2] IIT BHU, Dept Math Sci, Varanasi, Uttar Pradesh, India
关键词
Non-linear DPL bioheat transfer model; Skin tissues; Temperature dependent blood perfusion; Periodic heat flux boundary conditions; Model selction criterion AIC; Kirchoff number; BIO-HEAT TRANSFER; BLOOD PERFUSION; HYPERTHERMIA; MODEL; SIMULATION; LEQUATION;
D O I
10.1016/j.mbs.2017.08.009
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:56 / 63
页数:8
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