An Empirical Analysis of Thermal Protective Performance of Fabrics Used in Protective Clothing.
Fabric-based protective clothing is widely used for occupational safety of firefighters/industrial workers. The aim of this paper is to study thermal protective performance provided by fabric systems and to propose an effective model for predicting the thermal protective performance under various th...
| Publicado en: | Annals of Occupational Hygiene Vol. 58; no. 8; pp. 1065 - 1078 |
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| Autores principales: | , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Oct2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=99005430&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 99005430 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00034878 JQ4 jtl: Annals of Occupational Hygiene issn: 00034878 maglogo: N pubinfo: dt: Oct2014 vid: 58 iid: 8 pid: 622 pub: Oxford University Press / USA artinfo: ui: 99005430 103906035 103906035 10.1093/annhyg/meu052 99005430 ppf: 1065 ppct: 13 formats: fmt: @attributes: type: P tig: atl: An Empirical Analysis of Thermal Protective Performance of Fabrics Used in Protective Clothing. aug: au: Mandal, Sumit Song, Guowen affil: 1. Department of Human Ecology , University of Alberta , Human Ecology Building, Edmonton, Alberta T6G 2N1 , Canada sug: subj: Protective Devices Burns Prevention and Control Occupational Safety Heat Adverse Effects Textiles Human Descriptive Statistics Data Analysis Software Models, Statistical T-Tests Simulations Multiple Linear Regression Neural Networks (Computer) Funding Source ab: Fabric-based protective clothing is widely used for occupational safety of firefighters/industrial workers. The aim of this paper is to study thermal protective performance provided by fabric systems and to propose an effective model for predicting the thermal protective performance under various thermal exposures. Different fabric systems that are commonly used to manufacture thermal protective clothing were selected. Laboratory simulations of the various thermal exposures were created to evaluate the protective performance of the selected fabric systems in terms of time required to generate second-degree burns. Through the characterization of selected fabric systems in a particular thermal exposure, various factors affecting the performances were statistically analyzed. The key factors for a particular thermal exposure were recognized based on the t-test analysis. Using these key factors, the performance predictive multiple linear regression and artificial neural network (ANN) models were developed and compared. The identified best-fit ANN models provide a basic tool to study thermal protective performance of a fabric. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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