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Microfluidic Preparation of Liquid Crystalline Elastomer Actuators
Published on: May 20, 2018
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Programming complex shapes in thin nematic elastomer and glass sheets
Paul Plucinsky1, Marius Lemm2, Kaushik Bhattacharya1
1Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, USA.
Physical Review. E
|August 31, 2016
Summary
Nematic elastomers and glasses are soft solids that can change shape. A new metric constraint is introduced, enabling precise control over their complex shape transformations for advanced soft actuator applications.
Area of Science:
- Materials Science
- Soft Matter Physics
- Mechanics of Materials
Background:
- Nematic elastomers and glasses are solids exhibiting spontaneous distortion in response to stimuli.
- Recent synthesis of heterogeneous sheets allows for complex shape actuation with high energy density.
- These materials show significant promise as soft actuators.
Purpose of the Study:
- To introduce a key metric constraint governing shape-changing actuation in nematic elastomer and glass sheets.
- To explore the diverse range of shapes achievable under this constraint.
- To provide insights into the fundamental principles driving shape transformation.
Main Methods:
- Introduction of a novel metric constraint for shape-changing actuation.
- Demonstration through two classes of examples: nonisometric origami and lifted surfaces.
- Analysis of energy minimization principles involving stretching, bending, and material heterogeneity.
Main Results:
- Identification of a critical metric constraint that dictates shape-changing capabilities.
- Showcasing of complex, non-trivial shapes through nonisometric origami and lifted surfaces.
- Understanding the interplay of mechanical forces and material properties in actuation.
Conclusions:
- The metric constraint provides a powerful tool for designing and controlling soft actuators.
- Nematic elastomer and glass sheets offer a versatile platform for programmable shape morphing.
- Energy minimization principles are crucial for deriving and understanding actuation behavior.

