DUHÉ, Jean-François; VICTOR, Stéphane; MELCHIOR, Pierre; ABDELMOUNEN, Youssef; ROUBERTIE, François

doi:10.1007/s11071-022-07239-3

DUHÉ, Jean-François
Laboratoire de l'intégration, du matériau au système [IMS]
Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]

VICTOR, Stéphane

Laboratoire de l'intégration, du matériau au système [IMS]

MELCHIOR, Pierre
Laboratoire de l'intégration, du matériau au système [IMS]

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Article de revue

Ce document a été publié dans

Nonlinear Dynamics. 2022-01, vol. 108, n° 1, p. 579-595

Résumé en anglais

System thermal modeling allows heat and temperature simulations for many applications, such as refrigeration design, heat dissipation in power electronics, melting processes and bio-heat transfers. Sufficiently accurate models are especially needed in open-heart surgery where lung thermal modeling will prevent pulmonary cell dying. For simplicity purposes, simple RC circuits are often used, but such models are too simple and lack of precision in dynamical terms. A more complete description of conductive heat transfer can be obtained from the heat equation by means of a two-port network. The analytical expressions obtained from such circuit models are complex and nonlinear in the frequency ω. This complexity in Laplace domain is difficult to handle when it comes to control applications and more specifically during surgery, as heat transfer and temperature control of a tissue may help in reducing necrosis and preserving a greater amount of a given organ. Therefore, a frequency-domain analysis of the series and shunt impedances will be presented and different techniques of approximations will be explored in order to obtain simple but sufficiently precise linear fractional transfer function models. Several approximations are proposed to model heat transfers of a human middle bronchus and will be quantified by the absolute errors.< Réduire

Mots clés en anglais

Heat equation

Two-port network

Thermal impedance

Thermal systems

Biological systems

Constant-phase element (CPE)

Fractional calculus

Fractional systems

Lung thermal modeling

URI

https://oskar-bordeaux.fr/handle/20.500.12278/140444

DOI

http://dx.doi.org/10.1007/s11071-022-07239-3

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Modeling thermal systems with fractional models: human bronchus application

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Modeling thermal systems with fractional models: human bronchus application

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Résumé en anglais

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DOI

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