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聚氯乙烯(PVC)护套新电缆和旧电缆的热降解动力学研究。

Thermal degradation kinetics study of polyvinyl chloride (PVC) sheath for new and aged cables.

机构信息

State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, Anhui 230026, PR China.

State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, Anhui 230026, PR China.

出版信息

Waste Manag. 2019 Nov;99:146-153. doi: 10.1016/j.wasman.2019.08.042. Epub 2019 Aug 30.

Abstract

The thermal degradation dynamics of new and aged PVC sheaths was studied in detail. The results illustrated that compared to new PVC sheath, the onset decomposition of aged PVC sheath mainly happened at higher temperature with larger peak value of mass loss rate. Three model-free methods most commonly used were employed to estimate the activation energy values at different conversions. It was noted that the aged PVC sheath exhibited greater entire activation energy than new PVC sheath. Two thermal degradation regions were observed based on the activation energy variation with conversion. The threshold of conversion for two regions was 0.6 for new PVC sheath and 0.5 for aged PVC sheath. The possible reaction mechanism was predicted by generalized master-plots method. The reaction model corresponding to each region showed observed difference between new and aged PVC sheaths. The compensation effect was also used to calculate the related pre-exponential factor. The variation of thermal degradation behavior could be ascribed to the changes of chemical composition, molecular structure, composition proportion and various additives after thermal aging. Besides, the thermal degradation process was reconstructed by an ANN model and it indicated that the predicted data fitted well with the experimental data.

摘要

详细研究了新型和老化聚氯乙烯护套的热降解动力学。结果表明,与新的聚氯乙烯护套相比,老化聚氯乙烯护套的起始分解主要发生在更高的温度下,具有更大的质量损失率峰值。采用了三种最常用的无模型方法来估计不同转化率下的活化能值。值得注意的是,老化的聚氯乙烯护套表现出比新的聚氯乙烯护套更大的整个活化能。根据转化率与活化能的变化,观察到两个热降解区域。对于新的聚氯乙烯护套,两个区域的转化率阈值为 0.6,对于老化的聚氯乙烯护套,转化率阈值为 0.5。通过广义主图法预测了可能的反应机理。与新的和老化的聚氯乙烯护套相对应的反应模型显示出观察到的差异。补偿效应也用于计算相关的指前因子。热降解行为的变化可以归因于热老化后化学组成、分子结构、组成比例和各种添加剂的变化。此外,通过人工神经网络模型重建了热降解过程,表明预测数据与实验数据拟合良好。

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