首页> 外文期刊>Journal of Applied Polymer Science >Mechanical, Morphological, and Thermal Properties of Nanotalc Reinforced PA6/SEBS-g-MA Composites
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Mechanical, Morphological, and Thermal Properties of Nanotalc Reinforced PA6/SEBS-g-MA Composites

机译:纳米滑石增强的PA6 / SEBS-g-MA复合材料的机械,形态和热性能

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摘要

Ternary butylene-styrene-g-maleic anhydride (SEBS-g-MA) (100/20 w/w) blend with varying content of nanotalc (1, 3, and 5 wt %) were prepared by melt compounding followed by injection molding. Thermal properties were investigated by thermogravimetric analysis (TGA) and the results show that the thermal properties of nanocomposites are slightly improved by the addition of nanotalc content. The morphology of nanocomposites using wide angle X-ray diffraction (WAXD) and transmission electron microscopy (TEM) revealed the delamination of talc layers in the ternary nanocomposites. The dynamic mechanical properties of the samples were analyzed by using dynamic mechanical thermal analyzer (DMTA). The results show that the storage modulus of the blend monotonically increased while tan d curve show the diffuse pattern with the nanotalc content. The mechanical properties of PA6/SEBS-g-MA nanocomposites were studied by tensile, flexural, and impact tests. The tensile and flexural properties continuously increased while izod impact and elongation-at-break decreased with nanotalc content. Various theoretical predictive models were used to correlate tensile modulus with the experimental data. The experimental data shows the positive deviation with the applied models. Bela Pukanszky model has been used to calculate the value of parameter B by employing tensile strength data. (C) 2014 Wiley Periodicals, Inc.
机译:通过熔融混合然后注射成型制备具有变化含量的纳米滑石(1、3和5wt%)的三元丁烯-苯乙烯-g-马来酸酐(SEBS-g-MA)(100 / 20w / w)共混物。通过热重分析(TGA)研究了热性能,结果表明,通过添加纳米滑石含量可以稍微改善纳米复合材料的热性能。使用广角X射线衍射(WAXD)和透射电子显微镜(TEM)观察的纳米复合材料的形态揭示了三元纳米复合材料中滑石层的分层。样品的动态力学性能通过使用动态机械热分析仪(DMTA)进行分析。结果表明,共混物的储能模量单调增加,而tan d曲线显示出具有纳米滑石含量的扩散模式。通过拉伸,弯曲和冲击试验研究了PA6 / SEBS-g-MA纳米复合材料的力学性能。随着纳米滑石含量的增加,拉伸和弯曲性能不断提高,而伊兹德冲击力和断裂伸长率降低。使用各种理论预测模型将拉伸模量与实验数据相关联。实验数据显示了所应用模型的正偏差。 Bela Pukanszky模型已用于通过采用抗张强度数据来计算参数B的值。 (C)2014威利期刊公司

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