Patel, Dipal and Upadhyay, Ramesh V. and Mazlan, Saiful Amri (2023) Particle-reinforced elastomer model to analyse viscoelastic properties of flake-shaped electrolyte iron particle-based magnetorheological elastomer. Smart Materials and Structures, 32 (9). NA. ISSN 0964-1726
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Official URL: http://dx.doi.org/10.1088/1361-665X/ace573
Abstract
This paper uses parallel-plate-plate rheometry to focus on the magnetic field-dependent nonlinear viscoelastic behaviour of flake-shaped electrolyte iron powder-based magnetorheological elastomer (MRE). MRE was prepared using liquid silicon rubber as a base, a curing agent and electrolyte iron particles as fillers. Three MRE samples having 60%, 40%, and 0% filler weight fractions were prepared. The curing was carried out at 300 K. The thickness of the sample was 1.00 ± 0.04 mm. Scanning electron microscopy results showed uniform dispersal of particles within a matrix. The swelling measurement technique was used to confirm the enhanced reinforced properties of elastomer by calculating the cross-link density. The magnetic volume fraction evaluated from magnetisation measurements yields values of 18.7% for MRE-60 and 8.7% for MRE-40. Both moduli’s field-induced linear and nonlinear amplitude dependence were analysed using the modified particle-reinforced elastomer model. The result indicates that filler particles adsorbed on polymer chains were essential in determining the reinforcing properties of MRE. The improved cross-link density and particle morphology were responsible for the enhanced field-induced magnetorheological effect (277%). This value is nearly three times greater than that observed in spherical particles-based MRE.
Item Type: | Article |
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Uncontrolled Keywords: | crosslink density, electrolyte iron particles, magneto-viscoelastic, magnetorheological elastomers (MREs), magnetorheometry, MR effect, particle-reinforced model |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Malaysia-Japan International Institute of Technology |
ID Code: | 107130 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 28 Aug 2024 07:07 |
Last Modified: | 28 Aug 2024 07:07 |
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