Designing Rigid–Flexible Epoxy Resins to Unlock Shape Memory and Enhance Toughness

It remains a challenge to balance the trade-off between toughness, stiffness, and shape memory properties in shape memory epoxy resins (SMEP). In this study, we employed molecular engineering to synthesize stiff–flexible SMEP, by reacting furan-containing epoxy monomers 2,5-bis[(2-epoxymethoxy)methyl]furan (BOF), derived from biomass, with amines containing imine-amine (IA) and 4,4′-dithiodiphenylamine (4-DTDA). The results indicate that the sacrificial hydrogen bonding and the necessary flexible segments confer BOF/4-DTDA/IA (BDI) with a toughness of up to 13.9 MJ/m3 and a stiffness of 3.5 GPa. Furthermore, the introduction of hyperbranched epoxy resin (HER) yields BOF/4-DTDA/IA/HER (BDIH), which maintains a stiffness exceeding 2 GPa while retaining a toughness of 11.2 MJ/m3. Additionally, BDIH exhibits enhanced tensile strength with an increasing strain rate, which we rationalize based on the loss modulus and scanning electron microscopy morphology analyses. The collaborative motion of the rigid–flexible chain segments and the hydrogen bonding contributes to BDI’s excellent shape memory performance (shape fixation ratio (Rf = 99.00%) and shape recovery ratio (Rr = 99.15%). The physical barrier effect and flexibility of the HER further enhance the shape memory properties. In conclusion, the mechanical features and shape memory performance of BDI and BDIH demonstrate the significant potential for applications in smart molds, smart devices, and other advanced technologies.

Authors

Institutions

Publication Details

Journal
ACS Applied Polymer Materials
Published
2024-12-27
DOI
https://doi.org/10.1021/acsapm.4c03150
Citations
6
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
1.01

Funders

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

Designing Rigid–Flexible Epoxy Resins to Unlock Shape Memory and Enhance Toughness

Yaoming Zhang, Tingmei Wang, Qihua Wang, Xinrui Zhang et al.
6 citations
ACS Applied Polymer Materials
Polymer composites and self-healing
1.01
article

Designing Rigid–Flexible Epoxy Resins to Unlock Shape Memory and Enhance Toughness

Yaoming Zhang, Tingmei Wang, Qihua Wang, Xinrui Zhang, Zenghui Yang, Yiyuan Sun
article en
6 citations

Abstract

It remains a challenge to balance the trade-off between toughness, stiffness, and shape memory properties in shape memory epoxy resins (SMEP). In this study, we employed molecular engineering to synthesize stiff–flexible SMEP, by reacting furan-containing epoxy monomers 2,5-bis[(2-epoxymethoxy)methyl]furan (BOF), derived from biomass, with amines containing imine-amine (IA) and 4,4′-dithiodiphenylamine (4-DTDA). The results indicate that the sacrificial hydrogen bonding and the necessary flexible segments confer BOF/4-DTDA/IA (BDI) with a toughness of up to 13.9 MJ/m3 and a stiffness of 3.5 GPa. Furthermore, the introduction of hyperbranched epoxy resin (HER) yields BOF/4-DTDA/IA/HER (BDIH), which maintains a stiffness exceeding 2 GPa while retaining a toughness of 11.2 MJ/m3. Additionally, BDIH exhibits enhanced tensile strength with an increasing strain rate, which we rationalize based on the loss modulus and scanning electron microscopy morphology analyses. The collaborative motion of the rigid–flexible chain segments and the hydrogen bonding contributes to BDI’s excellent shape memory performance (shape fixation ratio (Rf = 99.00%) and shape recovery ratio (Rr = 99.15%). The physical barrier effect and flexibility of the HER further enhance the shape memory properties. In conclusion, the mechanical features and shape memory performance of BDI and BDIH demonstrate the significant potential for applications in smart molds, smart devices, and other advanced technologies.

ACS Applied Polymer MaterialsVol. 7(1)
Chinese Academy of Sciences (CN), Lanzhou Institute of Chemical Physics (CN), University of Chinese Academy of Sciences (CN), State Key Laboratory of Solid Lubrication
National Natural Science Foundation of China, Chinese Academy of Sciences, National Key Research and Development Program of China, Science and Technology Program of Gansu Province
Openalex Percentile: Top 27%
Polymer composites and self-healing
1.01
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.