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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.
Liu, Kuo-Chi; Leu, Jin-Sheng.
Afiliación
  • Liu KC; Department of Mechanical Engineering, Far East University, Tainan, Taiwan. Electronic address: kcliu@mail.feu.edu.tw.
  • Leu JS; Department of Aircraft Engineering, Air Force Institute of Technology, Kaohsiung, Taiwan. Electronic address: willislu@ms13.hinet.net.
J Therm Biol ; 112: 103436, 2023 Feb.
Article en En | MEDLINE | ID: mdl-36796893
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Calor / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: J Therm Biol Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Calor / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: J Therm Biol Año: 2023 Tipo del documento: Article