Wireless Magnetoelastic Smart Sensors (MagSens)
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Journal of the Electrochemical Society
The development of an electrodeposition process for cobalt/iron (CoFe) alloys with minimal oxygen concentration and controlled stoichiometry is necessary for the advancement of magnetostrictive device functionalities. CoFe alloy films were electrodeposited out of a novel chemistry onto copper test structures enabling magnetic displacement testing for magnetostriction calculations. Using a combination of additives that served as oxygen scavengers, grain refiners, and complexing agents in conjunction with a pulsed plating technique, CoFe films were synthesized at thicknesses as high as 10μm with less than 8 at% oxygen at a stoichiometry of 70-75% Co and 25-30% Fe. X-Ray diffraction (XRD) analysis confirmed that these films had a crystal structure consistent with 70% Co 30% Fe Wairuaite with a slight lattice contraction due to Co doping in the film. A novel characterization technique was used to measure the displacement of the CoFe films electrodeposited, as a function of applied magnetic bias, in order to determine the saturation magnetostriction (λS) of the material. With this chemistry and a tailored pulse plating regime, λS values as high as 172 ± 25ppm have been achieved. This is believed by the authors to be the highest reported value of magnetostriction for an electrodeposited CoFe film.
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After years in the field, many materials suffer degradation, off-gassing, and chemical changes causing build-up of measurable chemical atmospheres. Stand-alone embedded chemical sensors are typically limited in specificity, require electrical lines, and/or calibration drift makes data reliability questionable. Along with size, these "Achilles' heels" have prevented incorporation of gas sensing into sealed, hazardous locations which would highly benefit from in-situ analysis. We report on development of an all-optical, mid-IR, fiber-optic based MEMS Photoacoustic Spectroscopy solution to address these limitations. Concurrent modeling and computational simulation are used to guide hardware design and implementation.
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