Abstract

Recent advances in magnetorheological elastomers (MREs) have posed the question on whether the combination of both soft- and hard-magnetic particles may open new routes to design versatile multifunctional actuators. Here, we conceptualise ultra-soft hybrid MREs (≈1–10 kPa stiffness) combining experimental and computational approaches. First, a comprehensive experimental characterisation is performed. The results unravel that the magneto-mechanical performance of hybrid MREs can be optimised by selecting an adequate mixing ratio between particles. Then, a multi-physics computational framework provides insights into the synergistic magneto-mechanical interactions at the microscale. Soft particles amplify the magnetisation and hard particles contribute to torsional actuation. Our numerical results suggest that the effective response of hybrid MREs emerges from these intricate interactions. Overall, we uncover exciting possibilities to push the frontiers of MRE solutions. These are demonstrated by simulating a bimorph beam that provides actuation flexibility either enhancing mechanical bending or material stiffening, depending on the magnetic stimulation.

Details

Title
Hybrid magnetorheological elastomers enable versatile soft actuators
Author
Moreno-Mateos, Miguel Angel 1   VIAFID ORCID Logo  ; Hossain, Mokarram 2 ; Steinmann, Paul 3   VIAFID ORCID Logo  ; Garcia-Gonzalez, Daniel 1   VIAFID ORCID Logo 

 Universidad Carlos III de Madrid, Department of Continuum Mechanics and Structural Analysis, Leganés, Spain (GRID:grid.7840.b) (ISNI:0000 0001 2168 9183) 
 Swansea University, Zienkiewicz Centre for Computational Engineering, Faculty of Science and Engineering, Swansea, UK (GRID:grid.4827.9) (ISNI:0000 0001 0658 8800) 
 Institute of Applied Mechanics, University of Erlangen-Nuremberg, Erlangen, Germany (GRID:grid.5330.5) (ISNI:0000 0001 2107 3311); University of Glasgow, Glasgow Computational Engineering Centre, School of Engineering, Glasgow, UK (GRID:grid.8756.c) (ISNI:0000 0001 2193 314X) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20573960
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2695801599
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.