Tuning the Size and Stiffness of Inflatable Particles
Nidhi Pashine, Dong Wang, Robert Baines, Medha Goyal, Mark D. Shattuck, Corey S. O'Hern, Rebecca Kramer-Bottiglio
TL;DR
This work addresses how inflatable particles can simultaneously vary in size and compressive stiffness to tune robotic granular materials. By fabricating two geometries (Type I cylindrical shells and Type II toroidal shells) from EcoFlex 50 and systematically inflating them, the authors show that the slope of the stiffness–inflation curve, $k(p)$, can be steered from increasing to decreasing with inflation through the dimensionless ratio $r/t$, with strain localization near corners driving softening as $r/t \to 0$. Complementary ABAQUS neo-Hookean and spring-network FEM models, along with experiments, reveal that the observed behavior is governed by localized deformation and can be reproduced by tuning the local stiffness via the spring network parameter $a$. The results provide design rules for creating inflatable particles with tailored size and stiffness, enabling programmable, adaptable soft robotic granular materials and new avenues for stiffness modulation in inflatable systems.
Abstract
We describe size-varying cylindrical particles made from silicone elastomers that can serve as building blocks for robotic granular materials. The particle size variation, which is achieved by inflation, gives rise to changes in stiffness under compression. We design and fabricate inflatable particles that can become stiffer or softer during inflation, depending on key parameters of the particle geometry, such as the ratio of the fillet radius to the wall thickness, r/t. We also conduct numerical simulations of the inflatable particles and show that they only soften during inflation when localization of large strains occurs in the regime r/t -> 0. This work introduces novel particle systems with tunable size and stiffness that can be implemented in numerous soft robotic applications.
