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Bio-inspired programmable multi-stable origami

Cenling Huang, Ting Tan, Xinyu Hu, Fengpeng Yang, Zhimiao Yan

2022Applied Physics Letters48 citationsDOI

Abstract

This Letter presents a programmable path to multi-stability of the Kresling origami by introducing bio-inspired nonlinear creases. The origami mathematical model is proposed for the bio-inspired Kresling with the validations by uniaxial compression experiment and finite element analysis. Mono-stability, bi-stability, and tri-stability are demonstrated in one Kresling origami cell. Local energy minimum of multi-stability is found to arise from asymmetric energy barriers. Stable state bifurcation can be tunable under different nonlinearity of the creases and free-stress dihedral angles. Position of stable equilibria can be programmable by varying free-stress dihedral angle of the crease. This work provides a strategy to design programmable multi-stable origami structures.

Topics & Concepts

Dihedral angleBifurcationNonlinear systemStability (learning theory)Finite element methodPath (computing)Work (physics)Materials scienceComputer scienceTopology (electrical circuits)MathematicsPhysicsMechanical engineeringEngineeringStructural engineeringMachine learningProgramming languageMoleculeQuantum mechanicsCombinatoricsHydrogen bondAdvanced Materials and MechanicsAdvanced Sensor and Energy Harvesting MaterialsStructural Analysis and Optimization
Bio-inspired programmable multi-stable origami | Litcius