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Hygromnemics: Programmable Material Memory Matter Actuators via Wet Pre-Constraining

Charles de Kergariou*, Findlay S.G. Smith, Richard S. Trask, Adam W. Perriman, Fabrizio Scarpa, David Correa

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Hygromnemic actuators that store shape memory within their dry structure using a pre-constraining mechanism activated by humidity is introduced. Actuators are pre-constrained for various durations at a given relative humidity level to program desired hygromnemic actuation. Hygromnemic functions, linking deformation amplitude to constraint duration, are defined following these tests. Sinusoidal actuation patterns are achieved by positioning constraining blocks at different distances from the actuators. They operate effectively in low humidity (12% relative humidity). While describing the mechanism behind hygromnemic actuation, humidity shape memory actuation is unveiled when the actuation shape is stored after Glass Transition Temperature (Tg) is lowered via humidity conditioning. The actuator systems are used to create a soft robotic window opening in both dry and wet conditions, depending on preconditioning programming. Remarkably, these hygromnemic actuators display their actuated shape in dry conditions where their strength is 253% higher and their stiffness is more than one order of magnitude larger than in the wet conditions. Finally, the shape storage capability shows potential to control the actuated shape during operational service of the robots thanks to long- and short-term memory effect highlighted. The hygromnemic mechanisms described here enable low-cost humidity-driven programmable matter states, similar to those achieved with thermally-induced shape memory effects.

Original languageEnglish
Article numbere00647
Pages (from-to)1-23
Number of pages23
JournalAdvanced Materials Technologies
Volume10
Issue number23
DOIs
Publication statusPublished - 3 Dec 2025

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