nanocomposite; carbon nanotube; self-healing material; shape-memory material
Abstract :
[en] Electrically triggered shape memory polymers efficiency has been proven by numerous studies making them promising novel structural materials for high-end applications. In this field, poly(ε-caprolactone) covalent adaptable networks (PCL-CAN) are particularly appealing since they benefit from excellent shape mem- ory (SM) properties combined with network reconfiguration making easy the design of self-actuated devices of complex shape. Preparation of conducting PCL-CAN networks by melt blending multi-walled carbon nanotubes (MWCNTs) with four-arm star-shaped PCL end-capped with maleimide and furan groups is here inves- tigated. The conventional tensile tester and dynamic mechanical analysis demonstrated the reinforcement of the composite mechanical properties paired with excellent shape memory properties (recovery and fixity ratios about 99%). The simultaneous measurement of the sample resistivity was also integrated to these experiments allowing to follow its evolution during the SM cycles. Rheological measurements highlighted the impact of MWCNTs on the recyclability and self-healing properties of the composite. Electrical triggering of the shape recovery through Joule resistive heating is also deeply studied. The combination of all these properties in the developed material offers unique opportunities to design self-folding multi-materials which is illustrated through the design of smart multi-layered composites. This high-performance composite is especially attractive for reconfiguration of the permanent shape of complex geometry self-deploying devices and their thermal and electrical triggering.
Research center :
CESAM - Complex and Entangled Systems from Atoms to Materials - ULiège CERM - Center for Education and Research on Macromolecules - ULiège
Disciplines :
Materials science & engineering Chemistry
Author, co-author :
Houbben, Maxime ; University of Liège [ULiège] - Complex and Entangled Systems from Atoms to Materials [CESAM] - Research Unit, Center for Education and Research on Macromolecules [CERM] - Belgium
Sànchez, Clara Pereira; University of Liège [ULiège] - Department of Electrical Engineering and Computer Science - Belgium
Vanderbemden, Philippe ; University of Liège [ULiège] - Department of Electrical Engineering and Computer Science - Belgium
Noels, Ludovic ; University of Liège [ULiège] - Department of Aerospace and Mechanical Engineering - Belgium
Jérôme, Christine ; University of Liège [ULiège] - Complex and Entangled Systems from Atoms to Materials [CESAM] - Research Unit, Center for Education and Research on Macromolecules [CERM] - Belgium
Language :
English
Title :
MWCNTs filled PCL covalent adaptable networks: towards reprocessable, self-healing and fast electrically-triggered shape-memory composites
Publication date :
13 June 2023
Journal title :
Polymer
ISSN :
0032-3861
eISSN :
1873-2291
Publisher :
Elsevier BV
Volume :
278
Pages :
125992
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
FWB - Fédération Wallonie-Bruxelles [BE] ULiège. ARC - Université de Liège. Actions de Recherche Concertées [BE]
Funding text :
This research was funded through the “Actions de recherche concertées 2017 − Synthesis, Characterization, and Multiscale Model of Smart Composite Materials (S3CM3) 17/21-07”, financed by the “Direction Générale de l’Enseignement non obligatoire de la Recherche scientifique, Direction de la Recherche scientifique, Communauté française de Belgique et octroyées par l’Académie Universitaire Wallonie- Europe”
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