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Published June 5, 2024 | Published
Journal Article Open

Tuning the Properties of Multi‐Stable Structures Post‐Fabrication Via the Two‐Way Shape Memory Polymer Effect

  • 1. ROR icon California Institute of Technology

Abstract

Multi-stable elements are commonly employed to design reconfigurable and adaptive structures, because they enable large and reversible shape changes in response to changing loads, while simultaneously allowing self-locking capabilities. However, existing multi-stable structures have properties that depend on their initial design and cannot be tailored post-fabrication. Here, a novel design approach is presented that combines multi-stable structures with two-way shape memory polymers. By leveraging both the one-way and two-way shape memory effect under bi-axial strain conditions, the structures can re-program their 3D shape, bear loads, and self-actuate. Results demonstrate that the structures' shape and stiffness can be tuned post-fabrication at the user's need and the multi-stability can be suppressed or activated on command. The control of multi-stability prevents undesired snapping of the structures and enables higher load-bearing capability, compared to conventional multi-stable systems. The proposed approach offers the possibility to augment the functionality of existing multi-stable concepts, showing potential for the realization of highly adaptable mechanical structures that can reversibly switch between being mono and multi-stable and that can undergo shape changes in response to a change in temperature.

Copyright and License

Acknowledgement

The authors gratefully acknowledge Prof. Dr. Robert Howard Grubbs for providing access to laboratory facilities. G. Risso and P. Ermanni thank the Swiss National Science Foundation for funding the project.Project: Variable Stiffness Composite Metamaterials. Grant no.: 200021-192082. C. Daraio acknowledged support from the MURI ARO award, number W911NF-21-S-0008. The authors gratefully acknowledge Prof. Dr. Julia Greer for use of her differential scanning calorimeter and dynamic mechanical analyzer, as well as her students Akash Dhawan, Sammy Shaker, and Seola Lee for instrument training and help in setting up experiments.

Contributions

G. Risso and M. Kudisch equally contributed to the work. G. Risso and M. Kudisch conceived the project, and performed all theoretical development, and experiments. P. Ermanni and C. Daraio provided guidance throughout the research, administrated the project, and acquired the funding. G. Risso and M. Kudisch wrote the manuscript with inputs from all authors.

Data Availability

The data that support the findings of this study are available in the supplementary material of this article.

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Additional details

Created:
June 11, 2024
Modified:
June 11, 2024