Pivot bearings for efficient torsional magneto-mechanical resonators

Rotating magnets are suitable for producing ultra-low frequency signals for through-earth and through-seawater communications. Magneto-mechanical resonator (MMR) arrays, which are magnetized torsional rotors with a restoring torque, are a promising implementation of this idea that use resonance to enhance the magnetic signal generation. The fundamental challenge in MMR design is to have a suspension system for the rotors capable of resisting large transverse magnetic forces while allowing for a large angle of motion at low dissipation and hence high efficiency. Here, we study flexure-based pivot bearings as compliant support elements for MMR rotors which address this challenge and demonstrate their efficient low damping operation. A crossed-flexure configuration enables large angular rotation around a central axis, large transverse stiffness, and compact assembly of closely spaced rotor arrays via geometric flexure interlocking. We characterize the eigen frequency performance and the structural damping of MMR supported by these proposed pivot bearings. We develop analytical and numerical models to study their static and dynamic behaviors, including their coupled dynamic modes. We demonstrate that their damping coefficient is up to 80 times lower than corresponding ball bearing MMR. This study is broadly applicable to various systems that leverage arrays of coupled torsional oscillators such as magneto-mechanical transmitters, metamaterials, and energy harvesters.

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Publication Details

Journal
Mechanical Systems and Signal Processing
Published
2025-01-16
DOI
https://doi.org/10.1016/j.ymssp.2025.112306
Citations
2
Primary Topic
Magnetic Bearings and Levitation Dynamics
Type
article
Field-Weighted Citation Impact
2.43

Funders

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article

Pivot bearings for efficient torsional magneto-mechanical resonators

Chengzhang Li, Gaurav Bahl, Sameh Tawfick, Jiheng Jing et al.
2 citations
Mechanical Systems and Signal Processing
Magnetic Bearings and Levitation Dynamics
2.43
article

Pivot bearings for efficient torsional magneto-mechanical resonators

Chengzhang Li, Gaurav Bahl, Sameh Tawfick, Jiheng Jing, Ali Kanj
article en
2 citations

Abstract

Rotating magnets are suitable for producing ultra-low frequency signals for through-earth and through-seawater communications. Magneto-mechanical resonator (MMR) arrays, which are magnetized torsional rotors with a restoring torque, are a promising implementation of this idea that use resonance to enhance the magnetic signal generation. The fundamental challenge in MMR design is to have a suspension system for the rotors capable of resisting large transverse magnetic forces while allowing for a large angle of motion at low dissipation and hence high efficiency. Here, we study flexure-based pivot bearings as compliant support elements for MMR rotors which address this challenge and demonstrate their efficient low damping operation. A crossed-flexure configuration enables large angular rotation around a central axis, large transverse stiffness, and compact assembly of closely spaced rotor arrays via geometric flexure interlocking. We characterize the eigen frequency performance and the structural damping of MMR supported by these proposed pivot bearings. We develop analytical and numerical models to study their static and dynamic behaviors, including their coupled dynamic modes. We demonstrate that their damping coefficient is up to 80 times lower than corresponding ball bearing MMR. This study is broadly applicable to various systems that leverage arrays of coupled torsional oscillators such as magneto-mechanical transmitters, metamaterials, and energy harvesters.

Mechanical Systems and Signal ProcessingVol. 226
University of Illinois Urbana-Champaign (US)
Defense Advanced Research Projects Agency
Affordable and clean energy
Openalex Percentile: Top 14%
Magnetic Bearings and Levitation Dynamics
2.43
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Pivot bearings for efficient torsional magneto-mechanical resonators — Chengzhang Li, Gaurav Bahl, et al. · Mechanical Systems and Signal Processing (2025) | TGRS Research Map | TGRS