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Composites Based on Polypropylene and Talc: Processing Procedure and Prediction Behavior by Using Mathematical Models

机译:基于聚丙烯和滑石的复合材料:使用数学模型处理程序和预测行为

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摘要

iPP/Talc composites were produced, with different methods of filler addition in iPP matrix. Two different grades of Talc were used for comparison. The tensile tests results showed that talc particles promoted an improvement in composite rigidity, indicating the reinforcing effect of the talc particles in the iPP matrix. However, PP/talc-based composites that were prepared from a masterbatch and with talc grade with smaller particle size showed a better efficiency on dispersion/distribution of particle filler on the thermoplastic matrix, resulting in an improvement in Young’s modulus property, even with higher filler contents. SEM analyses evaluated the composite morphologies and different mathematical models were used as a tool on prediction of mechanical behaviour of the materials. It was observed that the results of Young’s modulus of the composites can be adjusted by different models, depending on the talc characteristics and the mixing procedure used.
机译:产生IPP /滑石复合材料,采用IPP基质中的不同填料添加方法。两种不同等级的滑石用于比较。拉伸试验结果表明,滑石颗粒促进了复合刚性的改善,表明滑石颗粒在IPP基质中的增强效果。然而,由母料和具有较小粒径的滑石级制备的PP /滑石基复合材料显示出热塑性基质上颗粒填充物的分散/分布的更好效率,从而提高了杨氏模量特性,即使有更高填充内容。 SEM分析评估了复合形态,并将不同的数学模型用作材料预测材料的机械行为的工具。观察到,复合材料的杨氏模量的结果可以通过不同的模型调整,这取决于滑石特性和使用的混合过程。

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