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"Jafari H" Authored Publications:

Title Authors PubMed ID
1 Analysis of an Adaptive Periodic Low-Frequency Wave Filter Featuring Magnetorheological Elastomers Jafari H; Sedaghati R; 36772034
ENCS

 

Title:Analysis of an Adaptive Periodic Low-Frequency Wave Filter Featuring Magnetorheological Elastomers
Authors:Jafari HSedaghati R
Link:pubmed.ncbi.nlm.nih.gov/36772034/
DOI:10.3390/polym15030735
Publication:Polymers
Keywords:adaptive metamaterialsmagnetorheological elastomers (MREs)periodic structureswave filterswave propagation
PMID:36772034 Category: Date Added:2023-02-11
Dept Affiliation: ENCS
1 Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montréal, QC H3G 1M8, Canada.

Description:

This study aims to enhance and tune wave-propagation properties (Bandgaps) of periodic structures featuring magnetorheological elastomers (MREs). For this purpose, first, a basic model of periodic structures (square unit cell with cross-shaped arms), which does not possess noise filtering properties in the conventional configuration, is considered. A passive attenuation zone is then proposed by adding a cylindrical core mass to the center of the conventional geometry and changing arm angles, which permitted new bandgap areas. It was shown that better wave-filtering performance may be achieved by introducing a large radius of the cylindrical core as well as low negative cross-arm angles. The modified configuration of the unit cell was subsequently utilized as the basic model for the development of magnetoactive metamaterial using a MRE capable of varying the bandgaps areas upon application of an external magnetic field. The finite element model of the proposed MRE-based periodic unit cell was developed, and the Bloch theorem was employed to systematically investigate the ability of the proposed adaptive periotic structure to attenuate low-frequency noise and vibration. Results show that the proposed MRE-based periodic wave filter can provide wide bandgap areas which can be adaptively changed and tuned using the applied magnetic field. The findings in this study can provide an essential guide for the development of novel adaptive periodic structures to filter low-frequency noises in the wide frequency band.




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