2020
DOI: 10.1038/s41598-020-73590-3
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Bio-heat response of skin tissue based on three-phase-lag model

Abstract: In this article, the thermal response of skin tissue is investigated based on three-phase-lag (TPL) model of heat conduction. The governing equation of bio-heat conduction is established by introducing both the TPL model of heat conduction and a modified energy conservation equation. The analytical solution is obtained by adopting the method of separation of variables and a parametric study on temperature responses in TPL model is carried out. It is shown that the TPL model can predict both the diffusion and w… Show more

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Cited by 22 publications
(14 citation statements)
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“…The developed TPL model has been validated with the results of one of the recent studies [33] that provides the analytical solution for the bio-heat response of skin tissue based on the TPL model. In particular, the same parameters and boundary conditions of [33] have been utilized, viz., outer skin surface temperature = 80 • C, arterial blood temperature = 37 • C, thickness of the tissue = 9 mm, density of the tissue = 1190 kg/m 3 , specific heat capacity of tissue = 3600 J/kg/K, density of the blood = 1060 kg/m 3 , specific heat capacity of the blood = 3770 J/kg/K, the blood perfusion rate = 1.87 × 10 −3 s −1 , thermal conductivity of the tissue = 0.235 W/m/K, the rate of thermal conductivity = 0.1 W/m/K/s, phase lag associated with heat flux = 16 s, phase lag associated with temperature gradient = 6 s, and the phase lag associated with thermal displacement gradient = 2 s. The comparative analysis of the present results with that of [33] is presented in Figure 2. As evident from Figure 2, a good agreement has been obtained between the results predicted from the present model with those reported in [33].…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…The developed TPL model has been validated with the results of one of the recent studies [33] that provides the analytical solution for the bio-heat response of skin tissue based on the TPL model. In particular, the same parameters and boundary conditions of [33] have been utilized, viz., outer skin surface temperature = 80 • C, arterial blood temperature = 37 • C, thickness of the tissue = 9 mm, density of the tissue = 1190 kg/m 3 , specific heat capacity of tissue = 3600 J/kg/K, density of the blood = 1060 kg/m 3 , specific heat capacity of the blood = 3770 J/kg/K, the blood perfusion rate = 1.87 × 10 −3 s −1 , thermal conductivity of the tissue = 0.235 W/m/K, the rate of thermal conductivity = 0.1 W/m/K/s, phase lag associated with heat flux = 16 s, phase lag associated with temperature gradient = 6 s, and the phase lag associated with thermal displacement gradient = 2 s. The comparative analysis of the present results with that of [33] is presented in Figure 2. As evident from Figure 2, a good agreement has been obtained between the results predicted from the present model with those reported in [33].…”
Section: Resultsmentioning
confidence: 99%
“…v = T, and k * is the rate of thermal conductivity. After some mathematical manipulations of Equation ( 7) combined with Equation (2), the following constitutive equation for TPL can be obtained [33]:…”
Section: Methodsmentioning
confidence: 99%
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“…Kumar and Rai 15 proposed a TPL heat transfer model to depict the thermal behavior inside the tissue. Recently, Zhang et al 16 studied the thermal response and parametric analysis within the skin tissue by using the TPL model of conduction. Also, Kumar et al 17 investigated the temperature profile inside the skin tissue for different coordinate systems by utilizing the DPL heat‐transmitting model amidst thermal therapy.…”
Section: Introductionmentioning
confidence: 99%