| 基于最大衰减因子模型的服装热防护性能预测 |
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| 引用本文： | 何佳臻,薛萧昱,王敏,李俊.基于最大衰减因子模型的服装热防护性能预测[J].纺织学报,2020,41(6):112-117. |
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| 作者姓名： | 何佳臻 薛萧昱 王敏 李俊 |
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| 作者单位： | 1.苏州大学 纺织与服装工程学院, 江苏 苏州 2150212.苏州大学 现代丝绸国家重点实验室,江苏 苏州 2150213.东华大学 现代服装设计与技术教育部重点实验室, 上海 200051 |
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| 基金项目： | 国家自然科学基金项目(51906169);国家自然科学基金项目(51576038);中国博士后科学基金资助项目(2017M621816);中国博士后科学基金资助项目(2019T120455);教育部人文社会科学研究青年基金项目(18YJC760021);江苏省高等学校自然科学研究面上项目(17KJB540003) |
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| 摘 要： | 为解决全尺度燃烧假人实验测试成本高、实验效率低,以及尚未与织物小样测试统一联合表征等难题,利用新型的热防护性能评估模型:二级烧伤最大衰减因子模型,对热防护服装的织物试样测试与燃烧假人实验进行同步研究,并建立基于织物试样测试的服装整体热防护性能预测模型。结果表明:防护织物的热防护性能与其服装整体的热防护性能具有显著相关性;将织物热防护性能值、服装平均衣下空气层厚度以及服装热暴露时间作为预测模型输入参数,可以实现服装热防护性能值以及人体皮肤烧伤百分比的预测;经模型验证发现,服装实测热防护性能值与其预测值间的相对误差仅为5.1%。
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| 关 键 词： | 热防护服装 热防护性能 是大衰减因子 性能预测 皮肤烧伤 |
| 收稿时间： | 2019-11-01 |
Predicting thermal protective performance of clothing based on maximum attenuation factor model |
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| HE Jiazhen,XUE Xiaoyu,WANG Min,LI Jun.Predicting thermal protective performance of clothing based on maximum attenuation factor model[J].Journal of Textile Research,2020,41(6):112-117. |
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| Authors: | HE Jiazhen XUE Xiaoyu WANG Min LI Jun |
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| Affiliation: | 1. College of Textile and Clothing Engineering, Soochow University, Suzhou, Jiangsu 215021, China2. National Engineering Laboratory for Modern Silk, Soochow University, Suzhou, Jiangsu 215021, China3. Key Laboratory of Clothing Design and Technology, Ministry of Education, Donghua University, Shanghai 200051, China |
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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%. |
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| Keywords: | thermal protective clothing thermal protective performance maximum attenuation factor performance prediction skin burn |
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