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Updated: Feb 15, 2026

High-Contrast and Fast Photorheological Switching of a Twist-Bend Nematic Liquid Crystal
Published on: October 31, 2019
3D Printing of Liquid Crystal Elastomeric Actuators with Spatially Programed Nematic Order
Arda Kotikian1, Ryan L Truby1, John William Boley1
1John A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA.
Researchers developed 3D-printed liquid crystal elastomer actuators (LCEAs) for artificial muscles. These LCEAs demonstrate significant, repeatable shape changes and high work capacity, enabling complex transformations for soft robotics.
Area of Science:
- Materials Science
- Soft Robotics
- Polymer Chemistry
Background:
- Liquid crystal elastomers (LCEs) are advanced soft materials known for their capacity for large, reversible shape deformations.
- Potential applications include artificial muscles, soft robots, and adaptive functional structures.
Purpose of the Study:
- To design and additively manufacture LCE actuators (LCEAs) with precisely controlled nematic order.
- To achieve large, reversible, and repeatable contractions with high specific work capacity in LCEAs.
Main Methods:
- Development of a photopolymerizable, solvent-free main-chain LCE ink with suitable viscoelastic properties for 3D printing.
- Utilizing high-temperature direct ink writing to align mesogen domains along the print path, programming nematic order.
- Fabrication of shape-morphing LCEA architectures with reversible planar-to-3D and 3D-to-3D' transformations.
Main Results:
- Demonstrated successful 3D printing of LCE inks with controlled nematic ordering.
- Achieved significant, repeatable contractions and high specific work capacity in the fabricated LCEAs.
- Showcased reversible shape transformations in complex LCEA architectures capable of lifting substantial weight.
Conclusions:
- Additive manufacturing of LCEAs with spatially programmed nematic order enables high-performance soft actuators.
- This approach facilitates the creation of dynamic, shape-morphing architectures for advanced applications in soft robotics and beyond.
- The developed LCEAs exhibit superior performance in terms of work capacity compared to previously reported materials.
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