Fluidic origami with embedded pressure dependent multi-stability: a plant inspired innovation
Author(s) -
Suyi Li,
K. W. Wang
Publication year - 2015
Publication title -
journal of the royal society interface
Language(s) - English
Resource type - Journals
eISSN - 1742-5689
pISSN - 1742-5662
DOI - 10.1098/rsif.2015.0639
Subject(s) - fluidics , bistability , folding (dsp implementation) , nanotechnology , stability (learning theory) , mechanical engineering , biomimetics , microfluidics , computer science , materials science , topology (electrical circuits) , biological system , engineering , aerospace engineering , biology , electrical engineering , optoelectronics , machine learning
Inspired by the impulsive movements in plants, this research investigates the physics of a novel fluidic origami concept for its pressure-dependent multi-stability. In this innovation, fluid-filled tubular cells are synthesized by integrating different Miura-Ori sheets into a three-dimensional topological system, where the internal pressures are strategically controlled similar to the motor cells in plants. Fluidic origami incorporates two crucial physiological features observed in nature: one is distributed, pressurized cellular organization, and the other is embedded multi-stability. For a single fluidic origami cell, two stable folding configurations can coexist due to the nonlinear relationships among folding, crease material deformation and internal volume change. When multiple origami cells are integrated, additional multi-stability characteristics could occur via the interactions between pressurized cells. Changes in the fluid pressure can tailor the existence and shapes of these stable folding configurations. As a result, fluidic origami can switch between being mono-stable, bistable and multi-stable with pressure control, and provide a rapid ‘snap-through’ type of shape change based on the similar principles as in plants. The outcomes of this research could lead to the development of new adaptive materials or structures, and provide insights for future plant physiology studies at the cellular level.
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