Literature DB >> 25816966

Prediction methods of skin burn for performance evaluation of thermal protective clothing.

Li-Na Zhai1, Jun Li2.   

Abstract

Most test methods use skin burn prediction to evaluate the thermal protective performance of clothing. In this paper, we reviewed different burn prediction methods used in clothing evaluation. The empirical criterion and the mathematical model were analyzed in detail as well as their relationship and limitations. Using an empirical criterion, the onset of skin burn is determined by the accumulated skin surface energy in certain periods. On the other hand, the mathematical model, which indicates denatured collagen, is more complex, which involves a heat transfer model and a burn model. Further studies should be conducted to examine the situations where the prediction methods are derived. New technologies may be used in the future to explore precise or suitable prediction methods for both flash fire tests and increasingly lower-intensity tests.
Copyright © 2015 Elsevier Ltd and ISBI. All rights reserved.

Keywords:  Performance evaluation; Prediction model; Skin burn; Stoll criterion; Thermal protective clothing

Mesh:

Year:  2015        PMID: 25816966     DOI: 10.1016/j.burns.2015.02.019

Source DB:  PubMed          Journal:  Burns        ISSN: 0305-4179            Impact factor:   2.744


  3 in total

1.  The Protective Performance of Process Operators' Protective Clothing and Exposure Limits under Low Thermal Radiation Conditions.

Authors:  Ronald Heus; Boris R M Kingma; Birgit M A van Berlo; Douwe Mol; Hein A M Daanen; Kalev Kuklane
Journal:  Biology (Basel)       Date:  2022-08-16

2.  Prediction of Steam Burns Severity using Raman Spectroscopy on ex vivo Porcine Skin.

Authors:  Lina Zhai; Christian Adlhart; Fabrizio Spano; Riccardo Innocenti Malini; Agnieszka K Piątek; Jun Li; René M Rossi
Journal:  Sci Rep       Date:  2018-05-02       Impact factor: 4.379

3.  Modeling Burns for Pre-Cooled Skin Flame Exposure.

Authors:  Torgrim Log
Journal:  Int J Environ Res Public Health       Date:  2017-09-07       Impact factor: 3.390

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.