Digital light processing of liquid crystal elastomers for self-sensing artificial muscles

S Li, H Bai, Z Liu, X Zhang, C Huang, LW Wiesner… - Science …, 2021 - science.org
Science Advances, 2021science.org
Artificial muscles based on stimuli-responsive polymers usually exhibit mechanical
compliance, versatility, and high power-to-weight ratio, showing great promise to potentially
replace conventional rigid motors for next-generation soft robots, wearable electronics, and
biomedical devices. In particular, thermomechanical liquid crystal elastomers (LCEs)
constitute artificial muscle-like actuators that can be remotely triggered for large stroke, fast
response, and highly repeatable actuations. Here, we introduce a digital light processing …
Artificial muscles based on stimuli-responsive polymers usually exhibit mechanical compliance, versatility, and high power-to-weight ratio, showing great promise to potentially replace conventional rigid motors for next-generation soft robots, wearable electronics, and biomedical devices. In particular, thermomechanical liquid crystal elastomers (LCEs) constitute artificial muscle-like actuators that can be remotely triggered for large stroke, fast response, and highly repeatable actuations. Here, we introduce a digital light processing (DLP)–based additive manufacturing approach that automatically shear aligns mesogenic oligomers, layer-by-layer, to achieve high orientational order in the photocrosslinked structures; this ordering yields high specific work capacity (63 J kg−1) and energy density (0.18 MJ m−3). We demonstrate actuators composed of these DLP printed LCEs’ applications in soft robotics, such as reversible grasping, untethered crawling, and weightlifting. Furthermore, we present an LCE self-sensing system that exploits thermally induced optical transition as an intrinsic option toward feedback control.
AAAS