基于最大衰减因子模型的服装热防护性能预测

In order to solve the problems such as high test cost and low experimental efficiency in full-scale burning manikin experiments, and the lack of unified and joint characterization with fabric swatch tests, a new thermal protection performance evaluation model, the second-degree burn maximum attenuation factor model, was utilized to conduct synchronous research on fabric specimen tests and burning manikin experiments of thermal protective clothing, and a prediction model for the overall thermal protection performance of clothing based on fabric specimen tests was established. The results show that there is a significant correlation between the thermal protection performance of protective fabrics and the overall thermal protection performance of clothing; taking the thermal protection performance value of the fabric, the average thickness of the air layer under the clothing, and the thermal exposure time of the clothing as input parameters of the prediction model can achieve the prediction of the thermal protection performance value of the clothing and the percentage of human skin burns; it was found through model verification that the relative error between the measured thermal protection performance value of the clothing and its predicted value is only 5.1%.

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%。