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Novel Ferrofluidic Inertial Sensors

Authors: BAGLIO S; P. BARRERA; N. SAVALLI;

Novel Ferrofluidic Inertial Sensors

Abstract

A novel inertial sensor based on ferrofluids is presented in this work The proposed device exhibits a widely tunable operating range and high sensitivity.. The ferrofluid is a special solution of magnetic particles in a colloidal suspension whose flow or density and other physical features can be controlled by magnets or magnetic fields. The device prototype is made of one excitation coil and two internal sensing coils, in a differential configuration, wound around a glass pipe where the ferrofluid is contained. The bias magnetic force, induced by the excitation coil, attracts the ferrofluid at the pipe?s centre thus exploiting the role of an equivalent mechanical spring. The force to be measured reflects therefore in the inertial mass amplitudes oscillation that are sensed by using the built-in differential transformer whose output voltage is a function of the ferrofluidic agglomerate position. Analytical models, simulations and experimental results are presented to demonstrate the suitability of the proposed approach.

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Italy
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
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