Yang Tao, Xiong Xiaoman, Petrů Michal, Tan Xiaodong, Kaneko Hiroki, Militký Jiří, Sakuma Atsushi
Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, 461 17 Liberec, Czech Republic.
Department of Material Engineering, Faculty of Textile Engineering, Technical University of Liberec, 46117 Liberec, Czech Republic.
Materials (Basel). 2020 Jun 26;13(12):2882. doi: 10.3390/ma13122882.
Polyester nonwoven fibrous material is widely used in construction and automobile industries for thermal insulation purposes. It is worthy and meaningful to understand the effect of structural parameters on the thermal property. Fiber orientation, as one of the most vital parameters, has a significant effect on thermal property. However, there has been little quantitative analysis focusing on this aspect. This paper theoretically and experimentally analyzes the thermal conductivity of samples with varying fiber orientation. Existing models were selected to predict the thermal conductivity of polyester nonwoven samples. Two different apparatus were applied to carry out the experimental measurements. The relative differences between the predicted and measured results were compared. One commonly used model was modified for accurate prediction. It was shown that some existing models under- or overestimate the thermal conductivity compared to the measured values. The results indicate that the modified model can accurately predict the thermal conductivity of polyester nonwoven materials within a 0.2% relative difference.
聚酯非织造纤维材料因其隔热性能而广泛应用于建筑和汽车工业。了解结构参数对热性能的影响具有重要意义。纤维取向作为最重要的参数之一,对热性能有显著影响。然而,针对这方面的定量分析很少。本文从理论和实验两方面分析了不同纤维取向样品的热导率。选择现有模型来预测聚酯非织造样品的热导率。应用两种不同的仪器进行实验测量。比较了预测结果与测量结果之间的相对差异。对一种常用模型进行了修正以实现准确预测。结果表明,与测量值相比,一些现有模型对热导率的估计存在低估或高估的情况。结果表明,修正后的模型能够在相对差异0.2%的范围内准确预测聚酯非织造材料的热导率。