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Updated: Dec 14, 2025

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Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
Published on: February 4, 2013
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Dynamics of Kresling origami deployment.
1Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.
Physical Review. E
|July 22, 2020
Summary
This study explores the deployment dynamics of Kresling origami structures, revealing how geometric variations influence their complex shape changes. Understanding these dynamics is key for designing robust, deployable systems.
Area of Science:
- Mechanical Engineering
- Materials Science
- Robotics
Background:
- Origami-inspired structures offer novel deployable system designs with predictable shape transformations.
- Kresling origami patterns, known for multistability, show potential for uniaxial extension into tubes and booms.
- Limited research exists on the dynamic deployment behaviors of Kresling structures with large shape changes.
Purpose of the Study:
- To investigate the deployment dynamics of Kresling origami structures under various geometric parameters and operating strategies.
- To understand the complex, nonlinear, and potentially bistable dynamic behaviors during large shape changes.
- To provide insights for designing robust and tunable deployable systems.
Main Methods:
- Development and application of a full, six-degrees-of-freedom (6-DOF) dynamic model.
- Analysis of axial and off-axis dynamic responses during deployment.
- Investigation of the influence of geometric parameters and initial conditions on deployment behavior.
Main Results:
- Geometric parameter variations can lead to qualitatively distinct mechanical responses during deployment.
- Dynamic deployment is sensitive to initial conditions and minor geometric design changes.
- Specific geometries and configurations impact the stiffness of axial and off-axis deformation modes.
Conclusions:
- Kresling origami structures exhibit complex deployment dynamics influenced by geometry and initial conditions.
- Design strategies can be informed by understanding stiffness variations in deformation modes.
- Kresling-based designs hold significant potential for deployable systems requiring robust and tunable performance.
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