预机械训练使动态共价聚合物网络的机械强化:从分子动力学模拟的见解

IF 5.2 1区 化学 Q1 POLYMER SCIENCE
Qionghai Chen, Pengwei Duan, Liqun Zhang, Jun Liu
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引用次数: 0

摘要

为了满足日益增长的对聚合物网络中高度可调机械性能的需求,本研究引入了一种基于键交换反应(ber)的新型预机械训练(PMT)方法,该方法允许通过诱导聚合物网络各向异性来广泛调制和定制机械性能。PMT工艺可以根据误码率阶段的单轴变形比λ来调节线性聚合物末端的排列:它们倾向于平行和垂直于z轴(变形方向)的排列λ <;1.00和λ >;1.00,分别。通过增加λ离1.00的偏差和延长误码率持续时间来增强校准程度。线性聚合物的定向排列引起聚合物网络的各向异性,这是实现机械性能调制的基础。当线性聚合物趋向于平行于z轴排列时(λ <;1.00),在抗拉强度,存储模量和韧性显著提高。相反,线性聚合物的垂直排列导致损失系数和断裂应变增加。更重要的是,基于这种力学性能调制机制,可以实现进一步的力学性能个性化。总之,这种利用BERs的PMT方法为调节和定制聚合物网络的整体机械性能提供了一种通用而有效的策略,为高性能聚合物材料的开发提供了巨大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Premechanical Training Enables Mechanical Reinforcement of Dynamic Covalent Polymer Networks: Insights from Molecular Dynamics Simulations

Premechanical Training Enables Mechanical Reinforcement of Dynamic Covalent Polymer Networks: Insights from Molecular Dynamics Simulations
To address the growing demand for highly tunable mechanical properties in polymer networks, this study introduces a novel premechanical training (PMT) method based on bond exchange reactions (BERs), which allows for extensive modulation and tailoring of mechanical properties by inducing polymer network anisotropy. The PMT process can modulate the alignment of linear polymer ends according to the uniaxial deformation ratio λ during the BER phase: they tend to align parallel and perpendicular to the Z-axis (deformation direction) for λ < 1.00 and λ > 1.00, respectively. The degree of alignment is intensified by increasing the deviation of λ from 1.00 and extending the BER duration. This oriented arrangement of linear polymers induces anisotropy in the polymer network, which is fundamental for achieving the modulation of mechanical properties. When linear polymers tend to be aligned parallel to the Z-axis (λ < 1.00), significant enhancements in tensile strength, storage modulus, and toughness are achieved. In contrast, perpendicular alignment of linear polymers results in increased loss factor and fracture strain. More importantly, based on this mechanical property modulation mechanism, further personalization of mechanical properties can be achieved. In summary, this PMT approach leveraging BERs provides a versatile and effective strategy for modulating and tailoring the overall mechanical properties of polymer networks, offering substantial potential for the development of high-performance polymeric materials.
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来源期刊
Macromolecules
Macromolecules 工程技术-高分子科学
CiteScore
9.30
自引率
16.40%
发文量
942
审稿时长
2 months
期刊介绍: Macromolecules publishes original, fundamental, and impactful research on all aspects of polymer science. Topics of interest include synthesis (e.g., controlled polymerizations, polymerization catalysis, post polymerization modification, new monomer structures and polymer architectures, and polymerization mechanisms/kinetics analysis); phase behavior, thermodynamics, dynamic, and ordering/disordering phenomena (e.g., self-assembly, gelation, crystallization, solution/melt/solid-state characteristics); structure and properties (e.g., mechanical and rheological properties, surface/interfacial characteristics, electronic and transport properties); new state of the art characterization (e.g., spectroscopy, scattering, microscopy, rheology), simulation (e.g., Monte Carlo, molecular dynamics, multi-scale/coarse-grained modeling), and theoretical methods. Renewable/sustainable polymers, polymer networks, responsive polymers, electro-, magneto- and opto-active macromolecules, inorganic polymers, charge-transporting polymers (ion-containing, semiconducting, and conducting), nanostructured polymers, and polymer composites are also of interest. Typical papers published in Macromolecules showcase important and innovative concepts, experimental methods/observations, and theoretical/computational approaches that demonstrate a fundamental advance in the understanding of polymers.
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