Related Experiment Video
Updated: Jul 1, 2025
12:04
Microfluidic Preparation of Liquid Crystalline Elastomer Actuators
Published on: May 20, 2018
9.0K
Melt electrowriting enabled 3D liquid crystal elastomer structures for cross-scale actuators and temperature field
Xueming Feng1,2, Li Wang1,2,3, Zhengjie Xue1,2
1The State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Science Advances
|March 6, 2024
Summary
Researchers developed melt electrowriting to create complex liquid crystal elastomer (LCE) actuators and sensors. These advanced LCE materials offer high performance for applications in robotics and temperature sensing.
Area of Science:
- Materials Science
- Polymer Science
- Robotics
Background:
- Liquid crystal elastomers (LCEs) exhibit significant reversible strains in response to stimuli.
- Previous research primarily focused on macro- or quasi-3D LCE structures.
- Fabricating complex 3D microstructures and cross-scale LCE systems remains a significant challenge.
Purpose of the Study:
- To develop a versatile method for fabricating complex 3D LCE microstructures and actuators.
- To explore the application of LCEs in advanced sensing technologies.
- To demonstrate the integration of LCE actuators with deep learning for enhanced functionality.
Main Methods:
- Melt electrowriting (MEW) was employed to fabricate LCE-based microfiber actuators and 3D actuators.
- Printing parameters were controlled to achieve high resolution and actuation strain.
- A deep learning model was integrated for spatial temperature field sensing applications.
Main Results:
- Fabrication of LCE actuators with resolutions from 4.5 to 60 μm and actuation strains of 10% to 55%.
- Achieved a maximum work density of 160 J/kg for the fabricated actuators.
- Developed large-scale, real-time LCE grid-based spatial temperature sensors with <42 ms response time and 94.79% precision.
Conclusions:
- Melt electrowriting is a compatible method for creating complex, cross-scale LCE actuators.
- LCE materials, when integrated with deep learning, show significant potential for high-performance temperature sensing.
- The developed LCE actuators and sensors pave the way for advanced applications in soft robotics and smart materials.
