Simulation study of hardness via nanoindentation of polymer nanocomposites through molecular dynamics.

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Eduardo Naranjo-Adorno, Edgar O Castrejón-González, Juan F J Alvarado, Christian O Díaz-Ovalle, Vicente Rico-Ramírez
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引用次数: 0

Abstract

Context: Polyethylene (PE) and polylactic acid (PLA) are two of the most widely used polymers. It is known that their mechanical properties, such as hardness, are poor. In order to enhance the mechanical properties of those polymers, reinforcements have to be incorporated. Carbon nanotubes (CNTs) have proven to be an excellent choice for reinforcement. However, due to the π-π interactions, the nanotubes tend to agglomerate. One of the strategies to avoid agglomerations is chemical functionalization. The 3-amino-propyl tri-ethoxy silane (APTES) is a suitable option for functionalization. In this work, three different polymeric configurations were analyzed to verify their effect on hardness: linear, hyperbranched, and star-like. Further, the configuration with the highest hardness was reinforced with functionalized CNTs with APTES groups. Results indicate that a linear configuration, both of PE and PLA, generates greater hardness due to better structural arrangement. The percentage of functionalization of CNTs that generates a better interaction with PLA is 3%, which corresponds to five anchored groups. The addition of CNTs increases the hardness 14 times with respect to that of PLA without reinforcement.

Method: Molecular models were built and visualized using MedeA and OVITO software programs. All simulations were run using the LAMMPS software. The force fields utilized were PCFF for polyethylene and COMPASS for PLA and carbon nanotubes. A van der Waals model was used to consider the non-bonding interactions between the indenter and substrate. An NVT ensemble was used to construct the substrates, and the indentation procedure involved iterative cycles of minimization and displacement of the indenter.

聚合物纳米复合材料纳米压痕硬度的分子动力学模拟研究。
背景:聚乙烯(PE)和聚乳酸(PLA)是两种最广泛使用的聚合物。众所周知,它们的机械性能,如硬度,都很差。为了提高这些聚合物的机械性能,必须加入增强剂。碳纳米管(CNTs)已被证明是一种极好的增强材料。然而,由于π-π相互作用,纳米管倾向于团聚。避免团聚的策略之一是化学官能化。3-氨基丙基三乙氧基硅烷(APTES)是一个合适的功能化选择。在这项工作中,分析了三种不同的聚合物构型,以验证它们对硬度的影响:线性,超支化和星形。此外,用带APTES基团的功能化CNTs对硬度最高的结构进行强化。结果表明,PE和PLA均为线性结构时,由于结构排列较好,硬度更高。与PLA产生更好相互作用的CNTs的功能化百分比为3%,对应于5个锚定基团。CNTs的加入使PLA的硬度提高了14倍。方法:采用MedeA和OVITO软件建立分子模型并进行可视化。所有模拟均使用LAMMPS软件进行。所使用的力场分别为聚乙烯用PCFF、聚乳酸用COMPASS和碳纳米管。采用范德华模型考虑压头与衬底之间的非键合相互作用。采用NVT集成来构建基底,压痕过程涉及压痕的最小化和位移迭代循环。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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