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首页> 外文期刊>Journal of thermal analysis and calorimetry >Simplified approach to modelling the catalytic degradation of low-density polyethylene (LDPE) by applying catalyst-free LDPE-TG profiles and the Friedman method
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Simplified approach to modelling the catalytic degradation of low-density polyethylene (LDPE) by applying catalyst-free LDPE-TG profiles and the Friedman method

机译:通过施用无催化剂的LDPE-TG型材和弗里德曼方法建模低密度聚乙烯(LDPE)催化降解的简化方法

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摘要

The course of the thermogravimetric degradation of LDPE in the presence of different aluminosilicate catalysts was modelled by applying a differential isoconversional Friedman approach. An analysis of catalyst-free PE-TG profiles confirmed that the degradation profiles predicted by various reaction models overlap over the entire conversion range once the data are analysed using a differential isoconversional Friedman approach. The results demonstrate that the catalytic degradation of LDPE can be predicted by a correlation twin, i.e. the two specific functional relations between the activation energy, pre-exponential factor and conversion. The crucial step for ensuring good agreement between the predicted and the measured profiles is to extrapolate the discrete values of the activation energies and pre-exponential factors to the zero conversion. It turns out that linear extrapolation and interpolation from the discrete values outperforms regression functions based on various order polynomials, and that apparent deviations from the global trend at lower conversions are not a consequence of the misinterpretation of the experimental results but are an experimental fact. The assumption about the compensation effect between the pre-exponential factor and activation energy holds within the conversion range from 10 to 90%. However, it is generally unsuitable for modelling purposes due to the uncertain extrapolation of the kinetic parameters to the zero conversion.
机译:通过施加差动异组溢出的弗里德曼方法,建模了不同硅铝酸盐催化剂存在下LDPE的热重探测的过程。一种自由催化剂的PE-TG型材的分析证实,一旦使用差分异组弗里德曼方法分析数据,各种反应模型预测的各种反应模型预测的劣化分布在整个转换范围内重叠。结果表明,通过相关双胞胎,即激活能量,预指数因子和转化之间的两个特定功能关系,可以预测LDPE的催化降解。确保预测和测量轮廓之间的良好一致性的关键步骤是将激活能量和预指数因子的离散值推断到零转换。事实证明,来自离散值的线性外推和插值优于基于各种秩序多项式的回归函数,并且从较低转化时从全球趋势与全球趋势的明显偏差不是实验结果的误解但是实验事实的结果。关于预指数因子与激活能量之间的补偿效果的假设在转换范围内的10%至90%内。然而,由于动力学参数的不确定到零转化,它通常不适合建模目的。

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