Stress‐Free Two‐Way Shape Memory Polymers with Dual‐Crystalline Phase Based on Poly(Tetramethylene Ether Glycol) and Poly(<i>ε</i>‐Caprolactone)

Two-way shape memory polymers (2W-SMPs) are a class of smart materials and can undergo spontaneously reversible deformation after specific stimuli. It is crucial to develop 2W-SMPs to achieve precise control of two-way shape memory behavior without external forces and reveal their structure-property relationships. In this study, dual-crystalline phase crosslinked polymer networks based on poly(tetramethylene ether glycol) (PTMEG) and poly(ε-caprolactone) (PCL) are fabricated via thiol-ene click reactions. The networks with two independent melting temperatures are gained by adjusting the ratio of the two segments and the two-way shape memory is enabled using the temperature difference between the two phases. The effects of network composition, pre-tensile strain, and actuation temperature on the two-way shape memory properties are investigated and the two-way shape memory mechanism of dual-crystalline phase polymers is further elucidated. Among the various compositions of networks, PTMEG<sup>8</sup>-PCL<sup>2</sup> exhibits the optimal two-way shape memory properties, with the actuation strain of 24.25% and reversible strain of up to 10.35% at the actuation temperature and pre-stretch strain of 45 °C and 15%, respectively, which is potential for soft robotics applications. It is believed that this work guides the design of semicrystalline networks with two-way shape memory properties.

Authors

Institutions

Publication Details

Journal
Macromolecular Rapid Communications
Published
2025-02-06
DOI
https://doi.org/10.1002/marc.202401102
Citations
1
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
0.61

Funders

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

Stress‐Free Two‐Way Shape Memory Polymers with Dual‐Crystalline Phase Based on Poly(Tetramethylene Ether Glycol) and Poly(ε‐Caprolactone)

Shaoliang Lin, Ling Zhao, Zhenhao Xi, Jie Jiang et al.
1 citations
Macromolecular Rapid Communications
Polymer composites and self-healing
0.61
article

Stress‐Free Two‐Way Shape Memory Polymers with Dual‐Crystalline Phase Based on Poly(Tetramethylene Ether Glycol) and Poly(ε‐Caprolactone)

Shaoliang Lin, Ling Zhao, Zhenhao Xi, Jie Jiang, Jin‐Jin Li, Bingyan Zhang, Weikang Yuan
article en
1 citations

Abstract

Two-way shape memory polymers (2W-SMPs) are a class of smart materials and can undergo spontaneously reversible deformation after specific stimuli. It is crucial to develop 2W-SMPs to achieve precise control of two-way shape memory behavior without external forces and reveal their structure-property relationships. In this study, dual-crystalline phase crosslinked polymer networks based on poly(tetramethylene ether glycol) (PTMEG) and poly(ε-caprolactone) (PCL) are fabricated via thiol-ene click reactions. The networks with two independent melting temperatures are gained by adjusting the ratio of the two segments and the two-way shape memory is enabled using the temperature difference between the two phases. The effects of network composition, pre-tensile strain, and actuation temperature on the two-way shape memory properties are investigated and the two-way shape memory mechanism of dual-crystalline phase polymers is further elucidated. Among the various compositions of networks, PTMEG<sup>8</sup>-PCL<sup>2</sup> exhibits the optimal two-way shape memory properties, with the actuation strain of 24.25% and reversible strain of up to 10.35% at the actuation temperature and pre-stretch strain of 45 °C and 15%, respectively, which is potential for soft robotics applications. It is believed that this work guides the design of semicrystalline networks with two-way shape memory properties.

Macromolecular Rapid CommunicationsVol. 46(9)
East China University of Science and Technology (CN), State Key Laboratory of Chemical Engineering (CN)
National Natural Science Foundation of China, Program of Shanghai Academic Research Leader
Openalex Percentile: Top 40%
Polymer composites and self-healing
0.61
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.