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Heat transfer analysis for tissue with surface heat flux based on the non-linearized form of the three-phase-lag model.
- Source :
-
Journal of Thermal Biology . Feb2023, Vol. 112, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- The three-phase-lag model of heat conduction has been proposed for considering thermoelastic effect in medium. The bioheat transfer equations based on Taylor's series approximation of the three-phase-lag model were derived in conjunction with a modified energy conservation equation. For exploring the effect of non-linear expansion in the phase lag times, the Taylor's series of second-order expansion was applied. The resulting equation involves mixed derivative terms and higher-order derivatives of temperature with respect to time. The hybrid application of the Laplace transform method and a modified discretization technique was extended to solve the equations and explore the effect of thermoelasticity on the thermal behavior in living tissue with surface heat flux. The influence of thermoelastic parameters and phase lags on heat transfer in tissue has been investigated. The present results illustrate the thermal response oscillation is excited in medium for the thermoelastic effect, the phase lag times significantly affect the amplitude and frequency of the oscillation, and the expansion order of TPL model evidently affects the predicted temperature. • The non-linear expansion three-phase-lag model of bioheat transfer is solved. • The need for the heat flux boundary condition to include phase lag effect is discussed. • Nonlinear behavior of thermal lagging of the TPL model is investigated. • The thermal response oscillation is excited in medium for the thermoelastic effect. • The expansion order of TPL model evidently affects the predicted temperature. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03064565
- Volume :
- 112
- Database :
- Academic Search Index
- Journal :
- Journal of Thermal Biology
- Publication Type :
- Academic Journal
- Accession number :
- 161879760
- Full Text :
- https://doi.org/10.1016/j.jtherbio.2022.103436