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Programming Multistable Metamaterials to Discover Latent Functionalities.

Hossein Mofatteh¹, Benyamin Shahryari¹, Armin Mirabolghasemi¹

¹Department of Bioresource Engineering, McGill University, Montreal, QC, H9X 3V9, Canada.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

|October 17, 2022

Summary

This summary is machine-generated.

This study explores programmable mechanical metamaterials. Researchers developed a mechanical sensor/memory device by understanding instability-induced energy release in bistable chains.

Keywords:

continuous path mechanical memory/sensor multistable chain programmable metamaterial tunable chiral metamaterial

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Area of Science:

Materials Science
Mechanical Engineering
Physics

Background:

Multistable mechanical metamaterials offer potential for deployable structures, electrical devices, and mechanical memories.
Key unanswered questions involve programming mechanical instability for sensors/memory and post-fabrication tuning of properties.

Purpose of the Study:

To investigate the programmability of mechanical instability in metamaterials.
To explore the mechanics of deformation sequences and energy variations in multistable systems.
To develop a mechanical sensor/memory device with analog-to-digital and digital-to-analog functionalities.

Main Methods:

Studied a 1D array (chain) of bistable cells to analyze instability-induced energy release and snapping sequences.
Utilized external mechanical stimuli to probe the metamaterial's response.
Fabricated a mechanical sensor/memory device based on the correlation between deformation sequence and mechanical input.

Main Results:

Comprehensive unveiling of deformation mechanics, continuous force/energy-displacement curves, and snapping sequences.
Demonstrated the programmability of multistable chains for sensor/memory applications.
Showcased the tunability of exotic mechanical properties, including chirality, in a transversely multistable metamaterial.

Conclusions:

The findings present a new paradigm for developing programmable, high-capacity read-write mechanical memories.
Mechanical instability can be programmed for advanced sensor and memory device design.
Post-fabrication tuning of mechanical properties is achievable through harnessing metamaterial programmability.