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Modelling and Prediction of Barrier Properties of Polymer Layered Silicate Nanocomposites

机译:聚合物层状硅酸盐纳米复合材料阻隔性能的建模与预测

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Different permeation models have been compared with the experimental barrier performance of the polyethylene and polypropylene layered-silicate nanocomposites. It was observed that the models assuming the perfect orientation of filler platelets did not represent the nanocomposite system accurately, whereas the models incorporating the misalignment and incomplete filler exfoliation effects were more efficient. Such models also predicted reduction in the barrier performance of the nanocomposites due to saturation of the polymer matrix with the platelets at a particular filler fraction, an observation which was also experimentally confirmed. Further combinations of these models with each other generated additional insights into the nanocomposite systems such as average aspect ratio, extent of filler platelet randomness, relative platelets distance, shape factor and aggregate thickness etc. As a beneficial alternative, modelling and prediction of the barrier performance of the polymer nanocomposites was also demonstrated using the mixture and factorial design methods. Using factorial design methods, aspect ratio as well as percent randomness of the filler platelets in the nanocomposites could be quantified by knowing beforehand the permeation performance and filler volume fraction. Alternatively, by knowing either the aspect ratio or percent randomness revealed the average permeation behaviour in the nanocomposite of known filler volume fraction.
机译:已经将不同的渗透模型与聚乙烯和聚丙烯层状硅酸盐纳米复合材料的实验阻隔性能进行了比较。观察到,假设填充物血小板处于完美取向的模型不能准确地代表纳米复合材料系统,而包含未排列和不完全填充物剥落效果的模型则更为有效。这样的模型还预测了由于聚合物基质在特定的填料含量下饱和了血小板而导致的纳米复合材料的阻隔性能下降,这一观察结果也得到了实验证实。这些模型的进一步组合产生了对纳米复合材料系统的更多见解,例如平均长径比,填料血小板无规程度,相对血小板距离,形状因子和聚集体厚度等。作为一种有益的替代方法,对阻隔性能进行建模和预测还使用混合和因子设计方法论证了聚合物纳米复合材料的制备方法。使用析因设计方法,可以通过事先了解渗透性能和填料体积分数来定量纳米复合材料中填料薄片的长径比和无规百分比。或者,通过知道纵横比或无规百分比,可以知道已知填料体积分数的纳米复合材料的平均渗透行为。

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