Multi-shape memory by dynamic elastocapillary self-assembly
Dongwoo Shin, Sameh Tawfick

TL;DR
This paper demonstrates how dynamic elastocapillary self-assembly of hair-like fibers during liquid drainage enables reversible formation of multiple complex shapes, offering a simple, energy-efficient method for creating reconfigurable cellular materials.
Contribution
It introduces a novel method for multi-shape memory using elastocapillary interactions during drainage, enabling controlled shape transformations in fiber assemblies.
Findings
Multiple topologies achieved through drainage rates
Reversible shape transformations demonstrated
Potential applications in smart surfaces and lithography
Abstract
Inspired by the synchronized beating of cilia, we show that the collective dynamics of hair-like fibers in a meniscus during fast drainage enables their self-organization into multiple topologies including complex shape inversions. By draining liquid from triangular-base hair bundles, we demonstrate their transformations into concave hexagons, rounded triangles, circles and inverted triangles. These topologically distinct shapes are quenched collective mode shapes of the beating hair each corresponding to specific drainage rates of the liquid, and cyclic shape re-transformations can be simply stimulated by repeated immersion and drainage. The various topologies correspond to multiple elastocapillary equilibria. Complex cellular materials with varying pore size and density can be obtained by changing the drain rates from hair assemblies. Due to its simple implementation and energy…
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Taxonomy
TopicsAdvanced Materials and Mechanics · Modular Robots and Swarm Intelligence · Pickering emulsions and particle stabilization
