Modelling and experimental characterisation of a compressional adaptive magnetorheological elastomer isolator
Modelling and experimental characterisation of a compressional adaptive magnetorheological elastomer isolator
This article proposes a simple physical-based model to describe and predict the performance of axially compressed magnetorheological elastomer cylinders used as vibration and shock absorbers. The model describes the magnetorheological elastomer macroscopic stiffness changes because of an externally applied magnetic field from a microscopic composite cell of silicone rubber and carbonyl iron particle. Despite neglecting the material hyperelasticity, anisotropy and adjacent magnetic interaction, the model describes effectively the effect of the magnetic field on the macroscopic modulus of elasticity. The changes in the mechanical properties with the induced magnetic field are measured on samples of different particle concentration based on volume percentage, that is, IO and 30 percent concentration of iron particles in a silicone rubber matrix. The manufacturing process of the samples is detailed, as well as the experimental validation of the effective stiffness change under a magnetic field in terms of transmissibility and mobility testing. However, the prediction seems to be limited by the linear elastic material model. Predictions and measurements are compared, showing that the model is capable of predicting the tunability of the dynamic/shock absorber and that the proposed devices have a possible application in the reduction of mechanical vibrations.
Magnetorheological, elastomer, vibration isolation, smart materials
Rustighi, Emiliano
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Ledezma-Ramirez, Diego F.
b9f8f9bb-43a2-4d27-ba94-0243cc267e4f
Tapia-Gonzalez, Pablo E.
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Ferguson, Neil
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Zakaria, Azrul, Abidin
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Rustighi, Emiliano
9544ced4-5057-4491-a45c-643873dfed96
Ledezma-Ramirez, Diego F.
b9f8f9bb-43a2-4d27-ba94-0243cc267e4f
Tapia-Gonzalez, Pablo E.
60d89f08-5030-4769-94ed-f68c5c07fde2
Ferguson, Neil
8cb67e30-48e2-491c-9390-d444fa786ac8
Zakaria, Azrul, Abidin
2b0cdcfc-a0f3-4a80-84eb-52d3ee9de177
Rustighi, Emiliano, Ledezma-Ramirez, Diego F., Tapia-Gonzalez, Pablo E., Ferguson, Neil and Zakaria, Azrul, Abidin
(2021)
Modelling and experimental characterisation of a compressional adaptive magnetorheological elastomer isolator.
Journal of Vibration and Control.
(In Press)
Abstract
This article proposes a simple physical-based model to describe and predict the performance of axially compressed magnetorheological elastomer cylinders used as vibration and shock absorbers. The model describes the magnetorheological elastomer macroscopic stiffness changes because of an externally applied magnetic field from a microscopic composite cell of silicone rubber and carbonyl iron particle. Despite neglecting the material hyperelasticity, anisotropy and adjacent magnetic interaction, the model describes effectively the effect of the magnetic field on the macroscopic modulus of elasticity. The changes in the mechanical properties with the induced magnetic field are measured on samples of different particle concentration based on volume percentage, that is, IO and 30 percent concentration of iron particles in a silicone rubber matrix. The manufacturing process of the samples is detailed, as well as the experimental validation of the effective stiffness change under a magnetic field in terms of transmissibility and mobility testing. However, the prediction seems to be limited by the linear elastic material model. Predictions and measurements are compared, showing that the model is capable of predicting the tunability of the dynamic/shock absorber and that the proposed devices have a possible application in the reduction of mechanical vibrations.
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Modelling and experimental characterisation of a compressional adaptive magnetorheological elastomer isolator
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Accepted/In Press date: 24 May 2021
Keywords:
Magnetorheological, elastomer, vibration isolation, smart materials
Identifiers
Local EPrints ID: 449819
URI: http://eprints.soton.ac.uk/id/eprint/449819
ISSN: 1077-5463
PURE UUID: e6274fb7-4ac3-40ff-8037-b95aa91dd115
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Date deposited: 18 Jun 2021 16:31
Last modified: 17 Mar 2024 02:32
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Contributors
Author:
Diego F. Ledezma-Ramirez
Author:
Pablo E. Tapia-Gonzalez
Author:
Azrul, Abidin Zakaria
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