“Magnetic marshmallows” for soft robotics: magneto-mechanical characterization and application in switchable adhesion structures

Soft magnetic composites exhibit fast and programmable macroscopic deformations in magnetic fields, making them promising for applications in soft untethered robotics or in designing surfaces with switchable adhesion or wetting properties. However, due to the incompressible nature of soft, non-porous actuators, their compression or elongation leads to important shape change due to lateral expansion or compression, respectively. In practice, bending and folding remain preferred actuation modes. Here, we explore the potential of magnetic elastomer "marshmallows" as compressible actuators with low Poisson's ratio. Using a sacrificial salt pellet template method, we fabricate polydimethylsiloxane foams with open porosity filled with carbonyl iron particles. The obtained foams exhibit strong reversible compression under the influence of a magnetic field gradient. We reveal the significance of stress accumulation in the direction of the field gradient due to magnetic body forces and the key role of the foam thickness in magnetic strain. We propose a simple analytical model based on the action of a magnetic body force that explains these effects. Finally, we demonstrate the development of a novel switchable adhesion structure, in which the magnetic foam covered with a pressure-sensitive adhesive serves as a compressible actuator able to switch between adhesive and non-adhesive states.

Authors

Institutions

Publication Details

Journal
Soft Matter
Published
2025-01-01
DOI
https://doi.org/10.1039/d4sm01503g
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“Magnetic marshmallows” for soft robotics: magneto-mechanical characterization and application in switchable adhesion structures

Samuel C. Lamont, Ludovic Olanier, Franck J. Vernerey, Jérôme Robert et al.
Soft Matter
Advanced Materials and Mechanics
article

“Magnetic marshmallows” for soft robotics: magneto-mechanical characterization and application in switchable adhesion structures

Samuel C. Lamont, Ludovic Olanier, Franck J. Vernerey, Jérôme Robert, Maxime Bès, А. А. Коваленко, Azadeh Dufour-Lamartinie, Jean-Claude Mancer
article en

Abstract

Soft magnetic composites exhibit fast and programmable macroscopic deformations in magnetic fields, making them promising for applications in soft untethered robotics or in designing surfaces with switchable adhesion or wetting properties. However, due to the incompressible nature of soft, non-porous actuators, their compression or elongation leads to important shape change due to lateral expansion or compression, respectively. In practice, bending and folding remain preferred actuation modes. Here, we explore the potential of magnetic elastomer "marshmallows" as compressible actuators with low Poisson's ratio. Using a sacrificial salt pellet template method, we fabricate polydimethylsiloxane foams with open porosity filled with carbonyl iron particles. The obtained foams exhibit strong reversible compression under the influence of a magnetic field gradient. We reveal the significance of stress accumulation in the direction of the field gradient due to magnetic body forces and the key role of the foam thickness in magnetic strain. We propose a simple analytical model based on the action of a magnetic body force that explains these effects. Finally, we demonstrate the development of a novel switchable adhesion structure, in which the magnetic foam covered with a pressure-sensitive adhesive serves as a compressible actuator able to switch between adhesive and non-adhesive states.

Soft MatterVol. 21(16)
Centre National de la Recherche Scientifique (FR), University of Colorado Boulder (US), Université Paris Sciences et Lettres (FR), University of Colorado System (US), Sorbonne Université (FR), Institut de Physique et Chimie des Matériaux de Strasbourg (FR), Sciences et Ingénierie de la Matière Molle (FR), ESPCI Paris (FR)
U.S. Department of Energy, Agence Nationale de la Recherche, National Nuclear Security Administration
Openalex Percentile: Top 95%
Advanced Materials and Mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.