Journal of Textile Research ›› 2020, Vol. 41 ›› Issue (06): 112-117.doi: 10.13475/j.fzxb.20191100106

• Apparel Engineering • Previous Articles     Next Articles

Predicting thermal protective performance of clothing based on maximum attenuation factor model

HE Jiazhen1,2, XUE Xiaoyu1, WANG Min3, LI Jun3()   

  1. 1. College of Textile and Clothing Engineering, Soochow University, Suzhou, Jiangsu 215021, China
    2. National Engineering Laboratory for Modern Silk, Soochow University, Suzhou, Jiangsu 215021, China
    3. Key Laboratory of Clothing Design and Technology, Ministry of Education, Donghua University, Shanghai 200051, China
  • Received:2019-11-01 Revised:2020-02-26 Online:2020-06-15 Published:2020-06-28
  • Contact: LI Jun E-mail:lijun@dhu.edu.cn

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Abstract:

It is well recognized that the full-scale instrumented flame manikin test is exceptionally costly, inefficient to perform, and it does not have a unified evaluation index as compared to the bench-scale test. This study aimed to solve this problem by adopting a new developed evaluation model, maximum attenuation factor, to investigate both the bench-scale test and the full-scale flame manikin test, and to establish a prediction model of thermal protective performance of clothing based on the fabric tests. Results show that there is a significant correlation between thermal protective performance of fabrics and clothing. When the maximum attenuation factor value of the fabric, the average air gap thickness of clothing and its exposure time are used as inputting parameters, the thermal protective performance of clothing and the percentage of skin burn injury can be well predicted. The absolute error between predicted MAF and the experimental value is only 5.1%.

Key words: thermal protective clothing, thermal protective performance, maximum attenuation factor, performance prediction, skin burn

CLC Number: 

  • TS941.73

Tab.1

Specifications of fabric"

服装
编号		 纤维
成分		 织物
组织		 面密度/
(g·m-2)		 厚度/
mm		 透气性/
(cm3·
cm-2·s-1)
G1 100% Nomex?IIIA 斜纹 205.3 0.60 7.6
G2 100% Nomex?IIIA 平纹 252.3 0.65 5.6
G3 98% meta-aramid,2%CF 平纹 158.2 0.51 39.4
G4 98% meta-aramid,2%CF 斜纹 216.1 0.61 16.1
G5 98% PSA,2% CF 平纹 152.4 0.55 16.9
G6 93%PSA,5% para-
aramid,2% CF		 斜纹 258.2 0.62 7.0
G7 100% 阻燃棉 斜纹 325.4 0.73 9.6
G8 外层100% Nomex?ⅢA, 防水透气层80%Nomex?+20% Kelvar?水刺毡覆PTFE膜,隔热层100% meta-aramid针刺毡绗缝50% meta-aramid+50%FR粘胶舒适层 3层
组合		 503.7 2.47 0.3
G9 外层100% Nomex?ⅢA,防水透气层80% Nomex?+20% Kelvar?水刺毡覆PTFE膜,隔热层100% meta-aramid针刺毡绗缝50% meta-aramid+50%FR粘胶舒适层 3层
组合		 595.1 3.15 0

Fig.1

Schematic representations of sensor response and Stoll criteria, and determination of MAF"

Fig.2

Correlations between experimental εOMAF of garments and εMAF of fabrics"

Fig.3

Comparison of measured and predicted εOMAF of clothing"

Fig.4

Relationship between εOMAF of clothing and percentage of burn injury in manikin test"

Tab.2

Comparison of predicted and experimental results of clothing thermal protective performance"

指标 服装εOMAF值 衣下皮肤烧伤百分比/%
预测值 0.62 16.5
实测值 0.59 14.3
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