An inverse problem of triple-thickness parameters determination for thermal protective clothing with Stephan–Boltzmann interface conditions

An inverse problem of triple-thickness parameters determination for thermal protective clothing... AbstractA seven-layers parabolic model with Stephan–Boltzmann interface conditions and Robin boundary conditions is mathematically formulated to describe the heat transfer process in environment-three layers clothing-air gap-body system.Based on this model, the solution to the corresponding inverse problem of simultaneous determination of triple fabric layers thickness is given in this paper, which satisfies the thermal safety requirements of human skin.By implementing a stable finite difference scheme, the thermal burn injuries on the skin of the body can be predicted.Then a kind of stochastic method, named as particle swarm optimization (PSO) algorithm, is developed to numerically solve the inverse problem.Numerical results indicate that the formulation of the model and proposed algorithm for solving the corresponding inverse problem are effective.Hence, the results in this paper will provide scientific supports for designing and manufacturing thermal protective clothing (TPC). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Inverse and III-posed Problems de Gruyter

An inverse problem of triple-thickness parameters determination for thermal protective clothing with Stephan–Boltzmann interface conditions

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Publisher
de Gruyter
Copyright
© 2020 Walter de Gruyter GmbH, Berlin/Boston
ISSN
1569-3945
eISSN
1569-3945
DOI
10.1515/jiip-2019-0060
Publisher site
See Article on Publisher Site

Abstract

AbstractA seven-layers parabolic model with Stephan–Boltzmann interface conditions and Robin boundary conditions is mathematically formulated to describe the heat transfer process in environment-three layers clothing-air gap-body system.Based on this model, the solution to the corresponding inverse problem of simultaneous determination of triple fabric layers thickness is given in this paper, which satisfies the thermal safety requirements of human skin.By implementing a stable finite difference scheme, the thermal burn injuries on the skin of the body can be predicted.Then a kind of stochastic method, named as particle swarm optimization (PSO) algorithm, is developed to numerically solve the inverse problem.Numerical results indicate that the formulation of the model and proposed algorithm for solving the corresponding inverse problem are effective.Hence, the results in this paper will provide scientific supports for designing and manufacturing thermal protective clothing (TPC).

Journal

Journal of Inverse and III-posed Problemsde Gruyter

Published: Jun 1, 2020

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