Triple-layer Tissue Prediction for Cutaneous Skin Burn Injury: Analytical Solution and Parametric Analysis
Yes === 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 (J...
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ndltd-BRADFORD-oai-bradscholars.brad.ac.uk-10454-184872021-07-24T05:01:09Z Triple-layer Tissue Prediction for Cutaneous Skin Burn Injury: Analytical Solution and Parametric Analysis Oguntala, George A. Indramohan, V. Jeffery, S. Abd-Alhameed, Raed A. Analytical method Bioheat model Burns Dual-phase lag model Laplace-Fourier transforms methods Yes 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. The full-text of this article will be released for public view at the end of the publisher embargo on 15th Apr 2022. 2021-05-08T19:13:48Z 2021-05-21T09:22:59Z 2021-05-08T19:13:48Z 2021-05-21T09:22:59Z 2021-07 2021-01-03 2021-04-15 2022-04-15 2021-05-08T18:13:51Z Article Accepted manuscript Oguntala G, Indramohan V, Jeffery S et al (2021) Triple-layer Tissue Prediction for Cutaneous Skin Burn Injury: Analytical Solution and Parametric Analysis. International Journal of Heat and Mass Transfer. 173: 120907. http://hdl.handle.net/10454/18487 en https://doi.org/10.1016/j.ijheatmasstransfer.2021.120907 © 2021 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. |
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en |
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Analytical method Bioheat model Burns Dual-phase lag model Laplace-Fourier transforms methods |
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Analytical method Bioheat model Burns Dual-phase lag model Laplace-Fourier transforms methods Oguntala, George A. Indramohan, V. Jeffery, S. Abd-Alhameed, Raed A. Triple-layer Tissue Prediction for Cutaneous Skin Burn Injury: Analytical Solution and Parametric Analysis |
description |
Yes === 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. === The full-text of this article will be released for public view at the end of the publisher embargo on 15th Apr 2022. |
author |
Oguntala, George A. Indramohan, V. Jeffery, S. Abd-Alhameed, Raed A. |
author_facet |
Oguntala, George A. Indramohan, V. Jeffery, S. Abd-Alhameed, Raed A. |
author_sort |
Oguntala, George A. |
title |
Triple-layer Tissue Prediction for Cutaneous Skin Burn Injury: Analytical Solution and Parametric Analysis |
title_short |
Triple-layer Tissue Prediction for Cutaneous Skin Burn Injury: Analytical Solution and Parametric Analysis |
title_full |
Triple-layer Tissue Prediction for Cutaneous Skin Burn Injury: Analytical Solution and Parametric Analysis |
title_fullStr |
Triple-layer Tissue Prediction for Cutaneous Skin Burn Injury: Analytical Solution and Parametric Analysis |
title_full_unstemmed |
Triple-layer Tissue Prediction for Cutaneous Skin Burn Injury: Analytical Solution and Parametric Analysis |
title_sort |
triple-layer tissue prediction for cutaneous skin burn injury: analytical solution and parametric analysis |
publishDate |
2021 |
url |
http://hdl.handle.net/10454/18487 |
work_keys_str_mv |
AT oguntalageorgea triplelayertissuepredictionforcutaneousskinburninjuryanalyticalsolutionandparametricanalysis AT indramohanv triplelayertissuepredictionforcutaneousskinburninjuryanalyticalsolutionandparametricanalysis AT jefferys triplelayertissuepredictionforcutaneousskinburninjuryanalyticalsolutionandparametricanalysis AT abdalhameedraeda triplelayertissuepredictionforcutaneousskinburninjuryanalyticalsolutionandparametricanalysis |
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