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Programmable actuation of liquid crystal elastomers via"living" exchange reaction
Zhijian Wang1, Qiguang He1, Yang Wang2
1Department of Mechanical and Aerospace Engineering, University of California, San Diego, La Jolla, CA 92093, USA. shqcai@ucsd.edu.
Soft Matter
|March 19, 2019
Summary
Researchers developed a new liquid crystal elastomer (LCE) with dynamic disulfide bonds. This material allows for easy, room-temperature mechanical programming and reprogramming of mesogen alignment, enabling new soft actuator designs.
Area of Science:
- Materials Science
- Polymer Chemistry
- Soft Robotics
Background:
- Liquid crystal elastomers (LCEs) are crucial soft actuators and opto-mechanical materials.
- Mesogen orientation dictates LCE properties, but current alignment methods are complex or limited.
- Dynamic covalent bonds offer potential for material programmability.
Purpose of the Study:
- To synthesize an LCE with dynamic disulfide bonds for facile mechanical programming.
- To investigate the room-temperature "living" exchange reaction of disulfide bonds in bulk polymers.
- To demonstrate erasable and reprogrammable mesogen alignment and shape memory effects in LCEs.
Main Methods:
- Synthesis of LCEs incorporating dynamic disulfide bonds.
- Room-temperature mechanical programming via disulfide bond exchange reaction.
- Characterization of mesogen orientation, dynamic behavior, and shape memory properties.
Main Results:
- A novel LCE with dynamic disulfide bonds was successfully synthesized.
- A facile, catalyst-free, room-temperature mechanical programming method was established.
- The "living" exchange reaction of disulfide bonds at room temperature in bulk polymer was revealed, attributed to prolonged radical lifetimes.
- Erasable and reprogrammable mesogen orientation and shape memory effects were demonstrated.
Conclusions:
- The developed LCE offers a versatile platform for programmable soft actuators.
- The "living" disulfide bond exchange reaction provides a new mechanism for dynamic polymer network manipulation.
- This approach overcomes limitations of existing LCE programming methods, enabling advanced deployable devices.