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Single-layer iron network microstructure magnetorheological elastomer for transparent soft actuator

Authors
Shen, ZhimingHozumi, MasakiTakimoto, YuyaFujihara, TakeshiCho, Hong-BaekChoa, Yong-HoSuematsu, HisayukiNakayama, TadachikaNiihara, Koichi
Issue Date
Nov-2024
Publisher
Elsevier B.V.
Keywords
Flexible gripping device; Magnetorheological elastomer; Network microstructure; Single-layer; Soft actuator; Transparent
Citation
Chemical Engineering Journal, v.500, pp 1 - 14
Pages
14
Indexed
SCIE
SCOPUS
Journal Title
Chemical Engineering Journal
Volume
500
Start Page
1
End Page
14
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/120833
DOI
10.1016/j.cej.2024.157167
ISSN
1385-8947
1873-3212
Abstract
The motion of a soft magnetic magnetorheological elastomer, a composite material consisting of soft magnetic fillers and an elastomeric matrix, is limited by the gradient of the applied magnetic field, making its application as an out-of-plane soft actuator difficult. In this study, an anisotropic soft magnetic magnetorheological elastomer-based transparent soft actuator with large out-of-plane deformation was fabricated using a very low concentration (1 vol%) of carbonyl iron particles as the soft magnetic fillers. An applied AC electric field treatment method was used to manipulate iron particles in silicone oil, assembling and depositing them onto a glass substrate to form a single-layer iron-network microstructure. A single-layer iron-network microstructure-based magnetorheological elastomer (SL-sMRE) film with initial self-buckling was fabricated by exploiting the swelling properties of the residual silicone oil and polydimethylsiloxane. The SL-sMRE film exhibited out-of-plane deformation with a very short reaction time (228 ms) under a uniform magnetic field. When stimulated by a non-uniform magnetic field, the SL-sMRE film deformed away from the permanent magnet, which was not possible with an isotropic film. An optically transparent SL-sMRE film was applied to a transparent flexible gripping device that could detect the surface of a gripped object in real time. © 2024 Elsevier B.V.
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