Programmable and reconfigurable hygro-thermo morphing materials with multifunctional shape transformation

Qinyu Li, Rujie Sun, Antoine Le Duigou, Jianglong Guo, Jonathan M Rossiter, Liwu Liu, Jinsong Leng*, Fabrizio Scarpa*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

11 Citations (Scopus)
124 Downloads (Pure)

Abstract

Humidity responsive materials are increasingly attracting significant interest for soft robotics and deployable structures. Their shape-changing behavior is based on differential hygroscopic characteristics of the single components of their microscopic architecture. Although existing moisture-induced materials achieve morphing in various humidity conditions, practical operational environments involve the presence of uncontrolled humidity regimes, which restrict those materials to reach broad ranges of shapes. Here we describe programmable and reconfigurable composite material based on natural fibres and shape memory polymers that extends the current one-to-one relation between external humidity and final actuated shape. The heating of flexible polymer networks permits to program the architecture of the natural fibres (flax) reinforcements and their spatial distribution within the composite when a moisture gradient is present. Once cooled, the programmed materials create new sets of different shapes, even when exposed to the same humidity conditions. These multifunctional biobased materials also show large stiffness (>13 GPa) that make them suitable for structural load-bearing applications. New multifunctional shape transformations capabilities of these bio-based hygro-thermo composites are demonstrated in a bio-robotic grasping hand and a bio-frame for electro-adhesive gripping. These examples show the full functionality, structural integrity, programmability and remarkable mechanical properties of our multifunctional hygromorph biocomposites.
Original languageEnglish
Article number101414
Number of pages12
JournalApplied Materials Today
Volume27
Early online date11 Feb 2022
DOIs
Publication statusPublished - 1 Jun 2022

Bibliographical note

Funding Information:
Authors 1 and 2 contributed equally to this work. QL is grateful for the support of the Faculty of Engineering of the University of Bristol. FS acknowledges the logistical support of the H2020 BBI SSUCHY project for the use of the flax fibres and the composites manufacturing facilities. FS also acknowledges the support of the ERC-2020-AdG 101020715 NEUROMETA project.

Publisher Copyright:
© 2022 Elsevier Ltd

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  • SSUCHY

    Scarpa, F. (Principal Investigator)

    1/09/1731/08/21

    Project: Research, Parent

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