JOURNAL OF TEXTILE RESEARCH ›› 2016, Vol. 37 ›› Issue (11): 64-67.

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Application of gray clustering analysis in evaluation of fabric thermal performance

  

  • Received:2015-08-25 Revised:2016-07-21 Online:2016-11-15 Published:2016-11-23

Abstract:

To investigate the thermal properties of the phenolic fiber fabrics and apply them to the field of fire, five common used fire-fighting fabrics including polyimide fabric, aramid 1313 fabric, aramid 1414 fabric, BA cotton fabric and carbon fabric were selected as the research objects. The thermal test was carried out under the same conditions. The indexes including coefficient of thermal conductivity, thermal diffusivity、specific heat capacity、vertical limiting oxygen index and zonal limiting oxygen index were taked.  The thermal properties of different kinds of fabrics with same weight were sudied. A single index can’t evaluate synthetically merits of the thermal properties of these five kinds of fabrics. Therefore, the grey clustering analysis method was used to make a comprehensive evaluation of the thermal performance of the five indexes. Results indicate that the phenolic fiber fabric and polyimide fabric have better thermal performance, aramid 1313 fabric is medium, and aramid 1414 fabric, BA cotton fabric and carbon cloth are the worst.

Key words: phenolic fiber, thermal property, coefficient of thermal conductivity, limiting oxygen index, grey clustering

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