Litcius/Paper detail

Multistability of segmented rings by programming natural curvature

Lu Lu, Sophie Leanza, Jize Dai, John W. Hutchinson, Ruike Renee Zhao

2024Proceedings of the National Academy of Sciences11 citationsDOIOpen Access PDF

Abstract

Multistable structures have widespread applications in the design of deployable aerospace systems, mechanical metamaterials, flexible electronics, and multimodal soft robotics due to their capability of shape reconfiguration between multiple stable states. Recently, the snap-folding of rings, often in the form of circles or polygons, has shown the capability of inducing diverse stable configurations. The natural curvature of the rod segment (curvature in its stress-free state) plays an important role in the elastic stability of these rings, determining the number and form of their stable configurations during folding. Here, we develop a general theoretical framework for the elastic stability analysis of segmented rings (e.g., polygons) based on an energy variational approach. Combining this framework with finite element simulations, we map out all planar stable configurations of various segmented rings and determine the natural curvature ranges of their multistable states. The theoretical and numerical results are validated through experiments, which demonstrate that a segmented ring with a rectangular cross-section can show up to six distinct planar stable states. The results also reveal that, by rationally designing the segment number and natural curvature of the segmented ring, its one- or multiloop configuration can store more strain energy than a circular ring of the same total length. We envision that the proposed strategy for achieving multistability in the current work will aid in the design of multifunctional, reconfigurable, and deployable structures.

Topics & Concepts

MultistabilityCurvatureSoft roboticsPlanarControl reconfigurationTopology (electrical circuits)Stability (learning theory)Elastic energyRing (chemistry)MetamaterialFinite element methodTensegrityComputer scienceGeometryRobotStructural engineeringArtificial intelligenceMathematicsPhysicsEngineeringCombinatoricsOpticsMachine learningQuantum mechanicsEmbedded systemNonlinear systemComputer graphics (images)Organic chemistryChemistryAdvanced Materials and MechanicsCellular Mechanics and InteractionsMicro and Nano Robotics