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用于调控结构-力学关系的双峰聚合物端连纳米颗粒网络设计策略

Bimodal Polymer End-Linked Nanoparticle Network Design Strategy to Manipulate the Structure-Mechanics Relation.

作者信息

Chen Ruisi, Zhang Zhiyu, Wan Haixiao, Liu Jun, Zhang Liqun

机构信息

Key Laboratory of Beijing City on Preparation and Processing of Novel Polymer Materials, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.

State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.

出版信息

J Phys Chem B. 2021 Feb 18;125(6):1680-1691. doi: 10.1021/acs.jpcb.0c09455. Epub 2021 Feb 3.

Abstract

A kind of bimodal polymer end-linked network employing nanoparticles (NPs) as net points has been designed and constructed through coarse-grained molecular dynamics simulation. We systematically explore the effects of the molecular weight (length of the long polymer chains), chain flexibility, and temperature on the accurate distribution of the spherical NPs and the resulting mechanical properties of the bimodal network. It is found that the NPs can be dispersed well, and a larger average distance between the NPs is realized with the increase of the length of the long polymer chains, the rigidity of short and long chains, and the temperature. There is a linear relationship between the average interparticle distance of NPs and the arithmetical average of the root-mean-square end-to-end distance of long and short chains. By adopting the uniaxial deformation, the stress-strain behavior and the bond orientation are examined. The results illustrate that introducing the short chains into the uniform long chains network can notably improve the tensile stress-strain performance. The bond orientation behaviors present that short chains are more prone to be oriented and stretched, contributing to more stress during the stretching process. Furthermore, enhanced stress-strain behaviors can be observed by manipulating the chain stiffness and temperature. Interestingly, the bimodal end-linked network reveals a distinctively enhanced stress-strain behavior versus the temperature, which is opposite to that of traditional physically mixed polymer nanocomposites (PNCs), attributed to a higher entropic elasticity and the uniform dispersion of NPs of the end-linked system at high temperatures. The network exhibits a linear relationship for the stress at a fixed strain versus the temperature. Notably, it is indicated that the contribution of entropy accounts for most of the total stress, while the change of internal energy only accounts for a small part, which is consistent with the experimental observation of the classic rubber elastic theory. In general, our study demonstrates a rational route to precisely control the spatial dispersion of the NPs and effectively tailor the mechanical properties of PNCs.

摘要

通过粗粒度分子动力学模拟设计并构建了一种以纳米粒子(NPs)为网点的双峰聚合物端连网络。我们系统地研究了分子量(长聚合物链的长度)、链柔性和温度对球形NPs精确分布以及双峰网络所得力学性能的影响。研究发现,随着长聚合物链长度、短链和长链刚性以及温度的增加,NPs能够良好分散,且NPs之间的平均距离增大。NPs的平均粒子间距离与长链和短链的均方根端到端距离的算术平均值之间存在线性关系。通过单轴变形,研究了应力-应变行为和键取向。结果表明,在均匀的长链网络中引入短链可以显著改善拉伸应力-应变性能。键取向行为表明,短链更易于取向和拉伸,在拉伸过程中产生更多应力。此外,通过控制链刚度和温度可以观察到增强的应力-应变行为。有趣的是,与传统物理混合聚合物纳米复合材料(PNCs)相反,双峰端连网络在不同温度下呈现出显著增强的应力-应变行为,这归因于高温下端连体系具有更高的熵弹性和NPs的均匀分散。该网络在固定应变下的应力与温度呈线性关系。值得注意的是,结果表明熵的贡献占总应力的大部分,而内能的变化仅占一小部分,这与经典橡胶弹性理论的实验观察结果一致。总体而言,我们的研究展示了一条精确控制NPs空间分散并有效调整PNCs力学性能的合理途径。

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