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Shape-programmable magneto-active elastomer composites for curve and biomimetic behavior imitation
Di Gong1, Fan Yang1, Dezhao Lin1
1Research Center for Intelligent Materials and Structures (CIMS), College of Mechanical Engineering and Automation, Huaqiao University, Xiamen, Fujian, P. R. China. xmyf@hotmail.com.
Soft Matter
|November 17, 2021
Summary
This study introduces a programming method for magneto-active elastomers (MAEs) to create specific curves. MAE composites successfully mimic biomimetic behaviors like snake and bird movements using this novel programming approach.
Area of Science:
- Materials Science
- Robotics
- Polymer Science
Background:
- Magneto-active elastomers (MAEs) offer unique shape-changing capabilities.
- Controlling the complex deformation of MAEs to achieve specific curves remains a challenge.
Purpose of the Study:
- To propose a programming methodology for designing MAE composites to accurately follow predefined objective curves.
- To investigate the deformation orientation of MAE elements under magnetic fields.
- To demonstrate the ability of programmed MAE composites to mimic biomimetic behaviors.
Main Methods:
- Segmenting objective curves into smaller parts for MAE element design.
- Investigating MAE element deformation with varying chain angles under homogeneous magnetic fields.
- Arraying designed MAE segments based on the proposed programming methodology to form MAE composites.
Main Results:
- MAE composites successfully described harmonic, tangential, and arc tangential functions under magnetic fields.
- The proposed methodology enabled MAE composites to mimic biomimetic behaviors, such as snake peeking and bird flapping.
- Dynamic procedures demonstrated smooth curvature properties and continuous curves.
Conclusions:
- The proposed programming methodology effectively controls MAE composite behavior to achieve specific curves.
- MAE composites programmed with this method can replicate complex, smooth, biomimetic movements.
- This approach advances the application of MAEs in soft robotics and adaptive structures.

