Designing a Self-Healing Shape Memory Polymer with High Stiffness and Toughness: The Role of Nonuniform Chain Networks

It has long been believed that uniformly cross-linked networks are beneficial to enhancing the toughness of elastomers and hydrogels by reducing stress concentration. However, in cross-linked semicrystalline polymers, it is not clear yet whether the uniformly cross-linked network is beneficial or worse for mechanical properties, since the crystallinity associated with the cross-linking network is also a key factor influencing mechanical properties. In this work, we designed chemically cross-linked polyurethane with crystalline segments either of nonuniform length or of uniform length. The nonuniform cross-linked networks are easier to crystallize and demonstrate higher strength and ductility than the uniform networks. The enhanced crystallinity caused by nonuniform cross-linking leads to stronger mechanical properties, resulting in a balance between stiffness and toughness. The obtained crystalline polyurethane plastic with nonuniform networks is biodegradable, with a strength of 68 MPa, Young’s modulus of 178 MPa, and a toughness of 365 MJ/m3. Additionally, the obtained polyurethane exhibits shape memory-assisted self-healing of cracks with a width of millimeter scale, which is conducive to expanding its functionality and extending its lifespan. As a result, the molecular design strategy utilizing nonuniform long chain networks to promote crystallization in chemically cross-linked polymers is established, which provides a new method for the design of high-performance polymers.

Authors

Institutions

Publication Details

Journal
Macromolecules
Published
2024-11-27
DOI
https://doi.org/10.1021/acs.macromol.4c02201
Citations
11
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
1.85

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Designing a Self-Healing Shape Memory Polymer with High Stiffness and Toughness: The Role of Nonuniform Chain Networks

Jiaxin Shi, Baohua Guo, Jun Xu, Tianze Zheng et al.
11 citations
Macromolecules
Polymer composites and self-healing
1.85
article

Designing a Self-Healing Shape Memory Polymer with High Stiffness and Toughness: The Role of Nonuniform Chain Networks

Jiaxin Shi, Baohua Guo, Jun Xu, Tianze Zheng, Chong Qiu, Hao Zhang, Yuxuan Ha, Jing Yuan
article en
11 citations

Abstract

It has long been believed that uniformly cross-linked networks are beneficial to enhancing the toughness of elastomers and hydrogels by reducing stress concentration. However, in cross-linked semicrystalline polymers, it is not clear yet whether the uniformly cross-linked network is beneficial or worse for mechanical properties, since the crystallinity associated with the cross-linking network is also a key factor influencing mechanical properties. In this work, we designed chemically cross-linked polyurethane with crystalline segments either of nonuniform length or of uniform length. The nonuniform cross-linked networks are easier to crystallize and demonstrate higher strength and ductility than the uniform networks. The enhanced crystallinity caused by nonuniform cross-linking leads to stronger mechanical properties, resulting in a balance between stiffness and toughness. The obtained crystalline polyurethane plastic with nonuniform networks is biodegradable, with a strength of 68 MPa, Young’s modulus of 178 MPa, and a toughness of 365 MJ/m3. Additionally, the obtained polyurethane exhibits shape memory-assisted self-healing of cracks with a width of millimeter scale, which is conducive to expanding its functionality and extending its lifespan. As a result, the molecular design strategy utilizing nonuniform long chain networks to promote crystallization in chemically cross-linked polymers is established, which provides a new method for the design of high-performance polymers.

MacromoleculesVol. 57(23)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Tsinghua University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 15%
Polymer composites and self-healing
1.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.