高分子材料老化与降解的物性预测  

FORECAST ON PHYSICAL PROPERTIES OF POLYMERS AGE AND DEGRADATION

作　　者：齐丽英[1] 李旭祥[1] 张立峰 

机构地区：[1]西安师范学院化学系,西安交通大学化工学院高分子材料系

出　　处：《计算机与应用化学》1995年第3期216-219,共4页Computers and Applied Chemistry

摘　　要：用时间序列分析方法对高分子材料老化与降解的物性预测进行了探讨，应用较先进的自适应过滤法预测原理建立了模型并编制了一套程序，对列车面漆进行了预测。通过预测值和实测值的比较，说明用自适应过滤法能够预测出物性发展趋势。根据自适应过滤法的特点，将其用于高分子材料老化与降解的研究，对我们的研究工作将起到推动作用。The time series analysis is adopted in this paper for age and degradation prediction of polymer material. The self-fitted filtering method is employed in programing and modeling of the surface paint of train. The results show that the self-fitted filtering method is able to predict the trend of property change, with comparison of prediction and measurement values. The application of this method will improve the study of age and degradation of polymer material.

关 键 词：老化 降解 高聚物 物性预测 

分 类 号：O631.33[理学—高分子化学] O631.2[理学—化学]