Optimization of Magnetorheological Elastomer Composition and Ferrous Particle Size for Enhanced Sound Absorption Performance

Nowadays, Magnetorheological Elastomers (MREs) are widely used in real applications such as vibration absorbers, isolators, magnetoresistors, and electromagnetic wave absorbers. The MR effect refers to the modulus feedback generated by MREs. When exposed to a magnetic field, the mechanical and viscoelastic properties of MREs can be reversibly altered. MREs are composite materials consisting of magnetizable particles embedded within a solid elastomer matrix. Their behavior is influenced by factors such as the type and size of the dispersed magnetic particles, the elastomer matrix composition, and the presence of non-magnetic fillers like plasticizers, carbon black, and crosslinking agents. This research investigates how the sound absorption capability of MREs is affected by their composition and the size of ferrous particles. The primary objective is to determine the optimal MRE composition for sound absorption and to analyze the impact of varying ferrous particle sizes on this property. MREs are synthesized using carbonyl iron particles, a hardener, and RTV silicone rubber. Since the performance of MREs actual applications is significantly influenced by the size of ferrous particles, experimental evaluations are conducted to determine the optimal parameters for MRE composition. Finally, the fabricated MREs are tested in a laboratory setting to assess their sound absorption capabilities. Based on the experimental tests, the optimal amounts of carbonyl iron particles, RTV silicone rubber, and hardener are 15 g, 9 g, and 0.45 g, respectively.

Publication Details

Journal
Journal of Mechanical Engineering
Published
2025-09-15
DOI
https://doi.org/10.24191/jmeche.v22i3.5795
Primary Topic
Vibration Control and Rheological Fluids
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Optimization of Magnetorheological Elastomer Composition and Ferrous Particle Size for Enhanced Sound Absorption Performance

Journal of Mechanical Engineering
Vibration Control and Rheological Fluids
article

Optimization of Magnetorheological Elastomer Composition and Ferrous Particle Size for Enhanced Sound Absorption Performance

article en

Abstract

Nowadays, Magnetorheological Elastomers (MREs) are widely used in real applications such as vibration absorbers, isolators, magnetoresistors, and electromagnetic wave absorbers. The MR effect refers to the modulus feedback generated by MREs. When exposed to a magnetic field, the mechanical and viscoelastic properties of MREs can be reversibly altered. MREs are composite materials consisting of magnetizable particles embedded within a solid elastomer matrix. Their behavior is influenced by factors such as the type and size of the dispersed magnetic particles, the elastomer matrix composition, and the presence of non-magnetic fillers like plasticizers, carbon black, and crosslinking agents. This research investigates how the sound absorption capability of MREs is affected by their composition and the size of ferrous particles. The primary objective is to determine the optimal MRE composition for sound absorption and to analyze the impact of varying ferrous particle sizes on this property. MREs are synthesized using carbonyl iron particles, a hardener, and RTV silicone rubber. Since the performance of MREs actual applications is significantly influenced by the size of ferrous particles, experimental evaluations are conducted to determine the optimal parameters for MRE composition. Finally, the fabricated MREs are tested in a laboratory setting to assess their sound absorption capabilities. Based on the experimental tests, the optimal amounts of carbonyl iron particles, RTV silicone rubber, and hardener are 15 g, 9 g, and 0.45 g, respectively.

Journal of Mechanical EngineeringVol. 22(3)
National Defence University of Malaysia
Openalex Percentile: Top 49%
Vibration Control and Rheological Fluids
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.