Network evolution controlling strain-induced damage and self-healing of elastomers with dynamic bonds
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866914646858924032 |
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| author | Yin, Yikai Mohanty, Shaswat Cooper, Christopher B. Bao, Zhenan Cai, Wei |
| author_facet | Yin, Yikai Mohanty, Shaswat Cooper, Christopher B. Bao, Zhenan Cai, Wei |
| contents | Highly stretchable and self-healable supramolecular elastomers are promising materials for future soft electronics, biomimetic systems, and smart textiles, due to their dynamic cross-linking bonds. The dynamic or reversible nature of the cross-links gives rise to interesting macroscopic responses in these materials such as self-healing and rapid stress-relaxation. However, the relationship between bond activity and macroscopic mechanical response, and the self-healing properties of these dynamic polymer networks (DPNs) remains poorly understood. Using coarse-grained molecular dynamics (CGMD) simulations, we reveal a fundamental connection between the macroscopic behaviors of DPNs and the shortest paths between distant nodes in the polymer network. Notably, the trajectories of the material on the shortest path-strain map provide key insights into understanding the stress-strain hysteresis, anisotropy, stress relaxation, and self-healing of DPNs. Based on CGMD simulations under various loading histories, we formulate a set of empirical rules that dictate how the shortest path interacts with stress and strain. This lays the foundation for the development of a physics-based theory centered around the non-local microstructural feature of shortest paths to predict the mechanical behavior of DPNs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_11087 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Network evolution controlling strain-induced damage and self-healing of elastomers with dynamic bonds Yin, Yikai Mohanty, Shaswat Cooper, Christopher B. Bao, Zhenan Cai, Wei Soft Condensed Matter Materials Science Highly stretchable and self-healable supramolecular elastomers are promising materials for future soft electronics, biomimetic systems, and smart textiles, due to their dynamic cross-linking bonds. The dynamic or reversible nature of the cross-links gives rise to interesting macroscopic responses in these materials such as self-healing and rapid stress-relaxation. However, the relationship between bond activity and macroscopic mechanical response, and the self-healing properties of these dynamic polymer networks (DPNs) remains poorly understood. Using coarse-grained molecular dynamics (CGMD) simulations, we reveal a fundamental connection between the macroscopic behaviors of DPNs and the shortest paths between distant nodes in the polymer network. Notably, the trajectories of the material on the shortest path-strain map provide key insights into understanding the stress-strain hysteresis, anisotropy, stress relaxation, and self-healing of DPNs. Based on CGMD simulations under various loading histories, we formulate a set of empirical rules that dictate how the shortest path interacts with stress and strain. This lays the foundation for the development of a physics-based theory centered around the non-local microstructural feature of shortest paths to predict the mechanical behavior of DPNs. |
| title | Network evolution controlling strain-induced damage and self-healing of elastomers with dynamic bonds |
| topic | Soft Condensed Matter Materials Science |
| url | https://arxiv.org/abs/2401.11087 |