Comparison of different bioheat transfer models for assessment of burns injuries

Piotr Łapka , Piotr Furmański , Tomasz Wiśniewski

Abstract

Two bioheat transfer models i.e.: the classical Pennes model and a more realistic two-equation model which accounted for blood vessel structure in the skin as well as heat transfer in the tissue and arteria blood were coupled with heat and mass transfer model in the protective multilayer garment. The clothing model included conductive-radiative heat transfer with water vapor diffusion in pores and air gaps as well as sorption and desorption of water in fibers. Thermal radiation was modeled rigorously e.g.: both the tissue and fabrics were assumed non-gray, absorbing, emitting and anisotropically scattering. Additionally different refractive indices of fabrics, air and tissue and resulting optical phenomena at separating interfaces were accounted for. Both bioheat models were applied for predicting skin temperature distributions and possibility of burns for different exposition times and radiative heat fluxes incident on external surface of the protective garment. Performed analyses revealed that heat transfer in the skin subjected to high heat flux is independent of the blood vessel structure.
Author Piotr Łapka ITC
Piotr Łapka,,
- The Institute of Heat Engineering
, Piotr Furmański ITC
Piotr Furmański,,
- The Institute of Heat Engineering
, Tomasz Wiśniewski ITC
Tomasz Wiśniewski,,
- The Institute of Heat Engineering
Pages070002-1 - 07002-4
Publication size in sheets0.3
Book Simos T.E., Kalogiratou Z., Monovasilis T. (eds.): Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2016 (ICCMSE-2016), AIP Conference Proceedings, vol. 1790, 2016, AIP Publishing LLC, ISBN 9780735414549, [0735414548], 668 p., DOI:10.1063/1.4968624
DOIDOI:10.1063/1.4968681
URL http://aip.scitation.org/doi/abs/10.1063/1.4968681
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, 15-09-2017, BookChapterSeriesAndMatConf
Ministerial score (2013-2016) = 15.0, 15-09-2017, BookChapterSeriesAndMatConf
Citation count*2 (2018-06-22)
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