Issue 10, 2023

Composite elastomers with on-demand convertible phase separations achieve large and healable electro-actuation

Abstract

Phase separation has been widely exploited for fabricating structured functional materials. Generally, after being fabricated, the phase structure in a hybrid material system has been set at a specific length scale and remains unchanged during the lifespan of the material. Herein, we report a strategy to construct on-demand and reversible phase switches among homogenous, nano- and macro-phase separation states in a composite elastomer during its lifespan. We trigger the nanophase separation by super-saturating an elastomer matrix with a carefully selected small-molecule organic compound (SMOC). The nanoparticles of SMOC that precipitate out upon quenching will stretch the elastomer network, yet remain stably arrested in the elastomer matrix at low temperatures for a long time. However, at elevated temperatures, the nano-phase separation will transform into the macro-one. The elastic recovery will drive the SMOC onto the elastomer surface. The phase-separated structures can be reconfigured through the homogeneous solution state at a further elevated temperature. Taking advantage of the reversible phase switches leads to a novel strategy for designing high-performance dielectric elastomers. The in situ formed nanoparticles can boost the electro-actuation performance by eliminating electro-mechanical instability and lead to a very large actuation strain (∼146%). Once the actuator broke down, SMOC could on-demand be driven to the breakdown holes and heal the actuator.

Graphical abstract: Composite elastomers with on-demand convertible phase separations achieve large and healable electro-actuation

Supplementary files

Article information

Article type
Communication
Submitted
23 May 2023
Accepted
25 Jul 2023
First published
29 Jul 2023

Mater. Horiz., 2023,10, 4501-4509

Composite elastomers with on-demand convertible phase separations achieve large and healable electro-actuation

J. Tang, Z. Chen, Y. Cai, Y. Gao, J. He, Y. Xiao, J. Mao, J. Zhao, X. Gao, T. Li and Y. Luo, Mater. Horiz., 2023, 10, 4501 DOI: 10.1039/D3MH00781B

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