光湿作用下消防服色彩与使用性能的关系

Relation between color and performance of fire suit after exposed to light and moisture

为探讨多种环境因素下消防服的性能变化及耐用性的预测模型,选用常用的消防服用织物进行光湿复合老化试验,测试织物的表面色差、断裂强力及热防护性能(TPP)值。采用多元线性回归方法建立色彩Lab值与使用性能间关系的数学模型,并对模型进行验证。各个回归方程的拟合度决定系数R2最大为0.965,回归系数均具有显著性。预测结果为:光老化后,干态、含水率约40%及饱和润湿状态下,织物的经向断裂强力的预测平均误差分别为2.53%、2.40%和2.53%;纬向断裂强力的预测平均误差分别为4.90%、8.99%和10.50%;整体TPP值的预测平均误差分别为4.10%、14.55%和10.41%。说明回归模型的拟合度总体来说较好,用其进行预测可以接受。

To investigate the changes of performance and prediction model of durability in complex environment, the fabrics, commonly used for fire suit, were exposed to light and moisture. The surface color difference, breaking strength and thermal protective performance were evaluated in laboratory tests. Mathematical model about the relation between Lab values and performance was made by multiple linear regression method and was verified experimentally. The maximum R2 of all regression equations was 0.965, and regression coefficients were proved significant. The predicted results reveal that prediction deviation averages of breaking strength in warp are 2.53% , 2.40% and 2.53% respectively in three kinds of conditions, dry state, about 40% content moisture, saturated wetting, and those of breaking strength in weft are 4.90%, 8.99% , 10.50% respectively, as well as prediction deviation averages of entire TPP value are respectively 4.10% , 4.55% 10.41%. It can be concluded that regression models, are good in general so that they can be considered acceptable for prediction.