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首页> 外文期刊>Journal of the mechanical behavior of biomedical materials >Prediction of storage modulus in solid-like poly (lactic acid)/poly (ethylene oxide)/carbon nanotubes nanocomposites assuming the contributions of nanoparticles and interphase regions in the networks
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Prediction of storage modulus in solid-like poly (lactic acid)/poly (ethylene oxide)/carbon nanotubes nanocomposites assuming the contributions of nanoparticles and interphase regions in the networks

机译:假设网络中纳米颗粒和界面区域的贡献,固体聚(乳酸)/聚(环氧乙烷)/碳纳米管纳米核复合材料中储存模量预测

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摘要

In this paper, Kolarik model for tensile modulus of co-continuous blends is developed to predict the storage modulus of poly (lactic acid) (PLA)/poly (ethylene oxide) (PEO)/carbon nanotubes (CNT) nanocomposites at low frequencies (solid-like region). The storage moduli of prepared samples are obtained by frequency sweep test and Kolarik model is expanded assuming the characteristics of interphase regions and CNT networks. The developed model takes into account the percolation threshold, the percentage of networked CNT and the volume fraction of interphase regions in the networks. The calculations of developed model are compared to the experimental data and the significances of main parameters on the storage modulus are justified. The calculations successfully agree with the experimental data at different PLA and CNT concentrations. The addition of CNT thickens and strengthens the interphase regions in the samples, but the different concentrations of PLA differently affect the properties of interphase regions. A thick and strong interphase enhances the storage modulus of nanocomposites. The high fraction of networked CNT and the significant modulus of nanoparticles considerably promote the storage modulus, but only small networks cause poor storage modulus for nanocomposites.
机译:在本文中,开发了连贯混合物拉伸模量的Kolarik模型,以预测低频下的聚(乳酸)(PLA)/聚(环氧乙烷)(CNO)/碳纳米管(CNT)纳米复合材料的储存模量(固相区域)。制备样品的储存模量通过频率扫描测试获得,并且假设相间区域和CNT网络的特征扩展了Kolarik模型。开发模型考虑了遗传阈值,网络CNT的百分比和网络中的相互作区的体积分数。将开发模型的计算与实验数据进行比较,并且储存模量的主要参数的重要性是合理的。计算成功地同意不同PLA和CNT浓度的实验数据。添加CNT增厚并加强样品中的相互区间,但不同浓度的PLA不同地影响相互作区的性质。厚且强的间间相增强了纳米复合材料的储存模量。网络化CNT的高级分和纳米颗粒的显着模量显着促进了储存模量,但只有小网络导致纳米复合材料的储存模量差。

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