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一种基于修正混合法则计算高于渗流阈值的聚合物/碳纳米管纳米复合材料拉伸模量的多步方法。

A multistep methodology for calculation of the tensile modulus in polymer/carbon nanotube nanocomposites above the percolation threshold based on the modified rule of mixtures.

作者信息

Zare Yasser, Rhee Kyong Yop

机构信息

Young Researchers and Elites Club, Science and Research Branch, Islamic Azad University Tehran Iran.

Department of Mechanical Engineering, College of Engineering, Kyung Hee University Giheung Yongin 446-701 Gyeonggi Republic of Korea

出版信息

RSC Adv. 2018 Sep 4;8(54):30986-30993. doi: 10.1039/c8ra04992k. eCollection 2018 Aug 30.

Abstract

A multistep model is proposed for calculating the tensile modulus values of polymer/carbon nanotube (CNT) nanocomposites (PCNTs) based on the modified rule of mixtures, assuming a percolated network of nanoparticles. In the first step, the network of nanoparticles is considered as a new phase with a novel volume fraction and Young's modulus. Then, the volume fraction of the filler network in the PCNTs is correlated to the density of the network. Also, the percolation of the nanoparticles is related to the aspect ratio of the nanoparticles. Finally, a new model is proposed based on the modified rule of mixtures (the Riley model) of the properties of the filler network. The predictions of the proposed model are compared with experimental results and the roles of the nanoparticles and network properties in the modulus values of nanocomposites are determined. The proposed model presents acceptable predictions when compared with the experimental data. Moreover, the density and modulus of the filler network, as well as the aspect ratio and diameter of the nanoparticles was found to directly affect the moduli of the nanocomposites.

摘要

提出了一种多步模型,用于基于修正的混合规则计算聚合物/碳纳米管(CNT)纳米复合材料(PCNTs)的拉伸模量值,假设存在纳米颗粒的渗流网络。第一步,将纳米颗粒网络视为具有新体积分数和杨氏模量的新相。然后,PCNTs中填料网络的体积分数与网络密度相关。此外,纳米颗粒的渗流与纳米颗粒的长径比有关。最后,基于填料网络性质的修正混合规则(莱利模型)提出了一个新模型。将所提模型的预测结果与实验结果进行比较,并确定纳米颗粒和网络性质在纳米复合材料模量值中的作用。与实验数据相比,所提模型给出了可接受的预测结果。此外,发现填料网络的密度和模量以及纳米颗粒的长径比和直径直接影响纳米复合材料的模量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a2/9085519/41d1f31d9860/c8ra04992k-f1.jpg

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