Graphene Oxide‐Modulated CMC/PVA Films with on‐Demand Shape Recovery and Self‐Healing Performance
With the advancement of artificial intelligence technologies, shape-memory polymers (SMPs) have attracted significant research interest due to their remarkable environmental responsiveness. However, conventional SMPs are limited to single-stimulus responsiveness and constrained performance, failing to meet practical application demands. This study develops a novel shape-memory carboxymethyl cellulose (CMC) and polyvinyl alcohol (PVA) composite film modulated by graphene oxide (GO) with multi-stimuli responsive capabilities and water-assisted self-healing properties. The introduction of GO significantly enhances the mechanical properties, and provides efficient swelling-resistant ability and thermal conversion efficiency of the composite film, endowing it with on-demand shape-memory performance under thermal and water stimulation. It can achieve a shape fixation rate of 94.45% and a recovery rate of 97.22%. Meanwhile, the shape-memory behaviors can be precisely tailored by modulating the content of GO and PVA as well as interfacial interactions. Furthermore, the composite films achieve efficient water-triggered self-healing with a remarkable 90.6% recovery efficiency, which is attributed to their inherent hydrophilic nature and dynamic physical crosslinking architecture. This research demonstrates a novel strategy for creating stimuli-adaptive and shape-memory materials, providing a pivotal platform for their application in flexible actuation devices and intelligent medical systems.
Authors
- Jiayou Ji
- Xianghua Yu (ORCID: https://orcid.org/0000-0002-7447-1396)
- Liang Li (ORCID: https://orcid.org/0000-0003-4601-8890)
- Huabo Huang
- Changdong Ju
Institutions
- Wuhan Institute of Technology (CN)
Publication Details
- Journal
- Macromolecular Rapid Communications
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1002/marc.202500345
- Citations
- 1
- Primary Topic
- Polymer composites and self-healing
- Type
- article
- Field-Weighted Citation Impact
- 0.61
Funders
- National Natural Science Foundation of China