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Updated: Feb 9, 2026

Microfluidic Preparation of Liquid Crystalline Elastomer Actuators
Published on: May 20, 2018
Microfluidic Preparation of Liquid Crystalline Elastomer Actuators.
Tristan Hessberger1, Lukas B Braun1, Christophe A Serra2
1Department of Organic Chemistry, Johannes Gutenberg University.
This study details microfluidic preparation of actuating particles from liquid crystalline elastomers. Process parameters control particle shape, size, and actuation type for tailored smart materials.
Area of Science:
- Materials Science
- Soft Matter Physics
- Microfluidics
Background:
- Liquid crystalline elastomers (LCEs) are stimuli-responsive materials with tunable properties.
- Actuating particles derived from LCEs offer potential for micro-robotics and smart devices.
- Precise control over particle morphology and actuation is crucial for their application.
Purpose of the Study:
- To investigate the microfluidic process for preparing actuating particles from LCEs.
- To explore the influence of process parameters on particle characteristics and actuation.
- To demonstrate the fabrication of complex LCE particle architectures.
Main Methods:
- Droplet formation of low molar mass liquid crystals in a microfluidic capillary.
- Flow field-induced orientation of liquid crystal precursors.
- Solidification via crosslinking polymerization to form LCE actuating particles.
- Systematic variation of microfluidic parameters (temperature, flow rate).
Main Results:
- Microfluidic parameters precisely control particle size and shape, ranging from oblate to prolate morphologies.
- Actuation magnitude and type (elongation/contraction) are tunable by adjusting the director profile during flow.
- Complex particle designs, including core-shell and Janus structures, are achievable.
- LCE particles can be triggered by heat or UV-vis irradiation by altering chemical structure and crosslinking.
Conclusions:
- Microfluidics provides a versatile platform for fabricating LCE actuating particles with controlled properties.
- The process allows for fine-tuning of particle morphology, actuation behavior, and responsiveness.
- This method enables the development of advanced smart materials for diverse applications.
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