Liquid Crystal Elastomer Lattices with Thermally Programmable Deformation via Multi-Material 3D Printing

Area of Science:

• Materials Science
• Polymer Science
• Additive Manufacturing

Background:

• Liquid crystal elastomers (LCEs) are stimuli-responsive materials with tunable properties.
• Fabricating complex LCE structures with controlled internal order remains a challenge.
• Existing methods lack the precision for spatially programmed nematic director order and local composition.

Purpose of the Study:

• To develop an integrated platform for designing, modeling, and 3D printing LCE lattices.
• To achieve spatially programmable nematic director order and local composition in LCE lattices.
• To demonstrate the shape-morphing capabilities and validate predictive models for these LCE lattices.

Main Methods:

• Utilized a multi-material 3D printing approach for LCE lattice fabrication.
• Integrated design and modeling tools to control lattice architecture and material composition.
• Investigated the thermomechanical response of LCE lattices through experimental deformation analysis.
• Developed an inverse design model to predict and achieve desired deformation behaviors.

Main Results:

• Successfully fabricated LCE lattices with homogeneous and heterogeneous layouts.
• Demonstrated reversible shape-morphing transformations based on compositional topology and thermal cycling.
• Validated the agreement between experimental deformation and model predictions for various LCE lattice designs.
• Showcased the ability to print LCE lattices with precisely predicted deformation characteristics.

Conclusions:

• The developed platform enables the fabrication of architected LCE lattices with programmable properties.
• These LCE lattices exhibit predictable and reversible shape-morphing, opening avenues for advanced applications.
• The integration of design, modeling, and 3D printing advances the field of soft robotics and smart materials.