星形聚合物网络断裂对臂分子量影响的幻链模拟

IF 5.1 1区 化学 Q1 POLYMER SCIENCE Macromolecules Pub Date : 2025-06-10 DOI:10.1021/acs.macromol.5c00475
Yuichi Masubuchi
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引用次数: 0

摘要

本研究通过模链模拟研究了不同臂分子量预聚物在2≤Na≤20、节点官能团3≤f≤8、转化率0.6≤φc≤0.95范围内的星形聚合物网络断裂。这些网络是通过星形聚合物的末端连接反应形成的,这些聚合物分散在一个固定的单体密度ρ = 8的模拟箱中。所得到的网络交替地受到能量最小化和单轴拉伸,直到断裂。断裂处的拉伸λb取决于链分子量Ns = 2Na + 1,其幂律形式描述为λb ~ Ns0.67,与实验结果一致。然而,拉伸前的链长与Ns0.5成正比,这并不能解释λb的ns依赖性。基于非仿射变形理论的分析也不能解释这一现象。相反,标准化预聚物浓度的增加与重叠浓度有关,随着Ns的增加,可以通过断裂链的比例增加来解释这一结果。
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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Phantom Chain Simulations for the Fracture of Star Polymer Networks on the Effect of Arm Molecular Weight
This study investigated the fracture of star polymer networks made from pre-polymers with various arm molecular weights in the range, 2 ≤ Na ≤ 20, for node functionalities 3 ≤ f ≤ 8 and conversion ratios 0.6 ≤ φc ≤ 0.95 by phantom chain simulations. The networks were created via end-linking reactions of star polymers dispersed in a simulation box with a fixed monomer density ρ = 8. The resultant networks were alternatively subjected to energy minimization and uniaxial stretch until the break. The stretch at the break, λb, depended on the strand molecular weight Ns = 2Na + 1 with a power-law manner described as λbNs0.67, consistent with the experiment. However, the strand length before stretch is proportional to Ns0.5, which does not explain the observed Ns-dependence of λb. The analysis based on the non-affine deformation theory does not interpret the phenomenon either. Instead, the increase of normalized pre-polymer concentration concerning the overlapping concentration with increasing Ns explains the result through a rise in the fraction of broken strands.
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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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