灰色聚类分析在织物热学性能评价中的应用

为探讨酚醛纤维织物的热学性能,将酚醛纤维应用于消防领域,选取5种消防常用的织物聚酰亚胺织物、芳纶1313织物、芳纶1414织物、阻燃棉织物、碳纤维织物为研究对象,在相同条件下进行热学试验并将热导率、热扩散系数、比热、经向极限氧指数、纬向极限氧指数等作为研究指标,研究相同面密度的不同种类织物的热学性能。单一的指标对比不能综合评价出6种织物热学性能的优劣,利用灰色聚类分析理论对这5个指标进行聚类分析,对其热学性能进行综合评价。结果表明:酚醛纤维织物与聚酰亚胺织物具有较好的热学性能,芳纶1313织物的热学性能次之,芳纶1414织物、阻燃棉织物、碳纤维织物的热学性能最差。

Application of grey clustering analysis in evaluation of fabric thermal performance

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 tested. The thermal properties of different kinds of fabrics with the same weight were studied. 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 on 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.