Flow-Induced Crystallization of Self-Nucleated Poly(ε-caprolactone) with Molecular Hydrogen-Bonding Interactions

IF 5.2 1区 化学 Q1 POLYMER SCIENCE
Ruijun Zhao, Lianghai Zhu, Guannan Zhang and Zhe Ma*, 
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Abstract

In this study, polar poly(ε-caprolactone) (PCL) was utilized to generate a self-nucleated melt with persistent hydrogen bonding. The mutual effects of flow and molecular interactions on the crystallization behavior of a self-nucleated melt were explored. Notably, the strength of self-nucleation could be precisely controlled through temperature adjustment (TSN). The effective self-nucleation effect not only enhanced crystallization kinetics but also increased melt viscosity. These results indicate that the residual clusters with molecular hydrogen-bonding interactions, in addition to the topological entanglement network, act as the temporary structure to facilitate crystallization. Under continuous flow, a self-nucleated melt initiates and develops sufficient crystallization, leading to an improvement in rheological properties. Furthermore, the step-shear flow was also applied, and the following isothermal process was monitored to understand the influence of molecular interactions on crystallization. As flow duration extended, both the completely relaxed melts and self-nucleated melts experienced accelerated crystallization kinetics, with the latter consistently exhibiting a shorter half-time (t1/2). Interestingly, the crystallite orientation of the self-nucleated melt initially increased and then gradually decreased with an extending flow duration, different from the monotonous decrease of t1/2. Based on the above results, a hypothetical mechanism was proposed that some of the residual clusters comprising closely packed chain segments could be disturbed under severe flow conditions. The observed nonmonotonic correlation between crystallite orientation and flow duration suggests that the residual clusters of self-nucleated PCL melt or their corresponding developed nuclei are disturbed by the applied flow, offering insights into the temporary feature of flow-induced self-nucleation with molecular hydrogen-bonding interactions and physical network formation.

Abstract Image

分子氢键相互作用下自核聚(ε-己内酯)的流动诱导结晶
本研究利用极性聚(ε-己内酯)(PCL)制备了具有持久氢键的自核熔体。探讨了流动和分子相互作用对自核熔体结晶行为的相互影响。值得注意的是,自核的强度可以通过温度调节(TSN)来精确控制。有效的自核效应不仅提高了结晶动力学,而且提高了熔体粘度。这些结果表明,除了拓扑纠缠网络外,具有分子氢键相互作用的残余团簇是促进结晶的临时结构。在连续流动条件下,自核熔体启动并形成充分的结晶,导致流变性能的改善。此外,我们还采用了阶梯剪切流,并对等温过程进行了监测,以了解分子相互作用对结晶的影响。随着流动时间的延长,完全松弛熔体和自核熔体的结晶动力学都加快了,其中自核熔体的半衰期始终较短(t1/2)。有趣的是,随着流动时间的延长,自核熔体的结晶取向先升高后逐渐降低,而不是单调地降低t1/2。基于上述结果,提出了一种假设机制,即在剧烈的流动条件下,一些由紧密排列的链段组成的残余簇可能会受到干扰。晶体取向与流动时间之间的非单调相关性表明,自核PCL熔体的残余团簇或其相应的发育核受到施加流动的干扰,这为流动诱导自核与分子氢键相互作用和物理网络形成的临时特征提供了见解。
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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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