Triple-layer Tissue Prediction for Cutaneous Skin Burn Injury: Analytical Solution and Parametric Analysis

Oguntala, George and Indramohan, Vivek and Jeffery, Steven and Abd-Alhameed, Raed (2021) Triple-layer Tissue Prediction for Cutaneous Skin Burn Injury: Analytical Solution and Parametric Analysis. International Journal of Heat and Mass Transfer, 173. p. 120907. ISSN 0017-9310

Final Revised_Triple-layer Tissue Prediction for Cutaneous Burn Injury.pdf - Accepted Version
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This paper demonstrates a non-Fourier prediction methodology of triple-layer human skin tissue for determining skin burn injury with non-ideal properties of tissue, metabolism and blood perfusion. The dual-phase lag (DPL) bioheat model is employed and solved using joint integral transform (JIT) through Laplace and Fourier transforms methods. Parametric studies on the effects of skin tissue properties, initial temperature, blood perfusion rate and heat transfer parameters for the thermal response and exposure time of the layers of the skin tissue are carried out. The study demonstrates that the initial tissue temperature, the thermal conductivity of the epidermis and dermis, relaxation time, thermalisation time and convective heat transfer coefficient are critical parameters to examine skin burn injury threshold. The study also shows that thermal conductivity and the blood perfusion rate exhibits negligible effects on the burn injury threshold. The objective of the present study is to support the accurate quantification and assessment of skin burn injury for reliable experimentation, design and optimisation of thermal therapy delivery.

Item Type: Article
Identification Number:
3 January 2021Accepted
15 April 2021Published Online
Uncontrolled Keywords: Analytical method Bioheat model Burns Dual-phase lag model Laplace-Fourier transforms methods
Subjects: CAH02 - subjects allied to medicine > CAH02-05 - medical sciences > CAH02-05-01 - medical technology
Divisions: Faculty of Health, Education and Life Sciences > School of Health Sciences
Depositing User: George Oguntala
Date Deposited: 17 Jun 2021 15:45
Last Modified: 15 Apr 2023 03:00

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