2021
DOI: 10.3390/pr9111877
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Estimating Relaxation Time and Fractionality Order Parameters in Fractional Non-Fourier Heat Conduction Using Conjugate Gradient Inverse Approach in Single and Three-Layer Skin Tissues

Abstract: In this work, the relaxation parameter (τ) and fractionality order (α) in the fractional single phase lag (FSPL) non-Fourier heat conduction model are estimated by employing the conjugate gradient inverse method (CGIM). Two different physics of skin tissue are chosen as the studied cases; single and three-layer skin tissues. Single-layer skin is exposed to laser radiation having the constant heat flux of Qin. However, a heat pulse with constant temperature is imposed on the three-layer skin. The required input… Show more

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Cited by 3 publications
(1 citation statement)
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“…In addition, the Laplace transform, by, combining with other techniques, is very practical for solving the time-fractional heat transfer (Ghanmi and Abbas, 2019). Recently, some efficient optimization algorithms, such as the conjugate gradient inverse method (Goudarzi et al , 2021) and the cuckoo search algorithm (Chi et al , 2020), have been proposed to estimate the model parameters in inverse fractional heat transfer problems. Their research studies may play a very important role in promoting the development of fractional heat transfer in biological tissues.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the Laplace transform, by, combining with other techniques, is very practical for solving the time-fractional heat transfer (Ghanmi and Abbas, 2019). Recently, some efficient optimization algorithms, such as the conjugate gradient inverse method (Goudarzi et al , 2021) and the cuckoo search algorithm (Chi et al , 2020), have been proposed to estimate the model parameters in inverse fractional heat transfer problems. Their research studies may play a very important role in promoting the development of fractional heat transfer in biological tissues.…”
Section: Introductionmentioning
confidence: 99%