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

  • Beijing University of Chemical Technology

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)5547-5559
Number of pages13
JournalMacromolecules
Volume58
Issue number11
DOIs
StatePublished - 10 Jun 2025
Externally publishedYes

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