Metglas-Elgiloy bi-layer, stent cell resonators for wireless monitoring of viscosity and mass loading
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Sensing, Magnetism and Microsystems Lab
Online Publication Date2012-12-21
Print Publication Date2013-02-01
Permanent link to this recordhttp://hdl.handle.net/10754/562463
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AbstractThis paper presents the design and evaluation of magnetoelastic sensors intended for wireless monitoring of tissue accumulation in peripheral artery stents. The sensors are fabricated from 28 μm thick foils of magnetoelastic 2826MB Metglas™, an amorphous Ni-Fe alloy. The sensor layer consists of a frame and an active resonator portion. The frame consists of 150 μm wide struts that are patterned in the same wishbone array pattern as a 12 mm × 1.46 mm Elgiloy stent cell. The active portion is a 10 mm long symmetric leaf shape and is anchored to the frame at mid length. The active portion nests within the stent cell, with a uniform gap separating the two. A gold-indium eutectic bonding process is used to bond Metglas™ and Elgiloy foils, which are subsequently patterned to form bi-layer resonators. The response of the sensor to viscosity changes and mass loading that precede and accompany artery occlusion is tested in vitro. The typical sensitivity to viscosity of the fundamental, longitudinal resonant frequency at 361 kHz is 427 ppm cP -1 over a 1.1-8.6 cP range. The sensitivity to mass loading is typically between 63000 and 65000 ppm mg-1 with the resonant frequency showing a reduction of 8.1% for an applied mass that is 15% of the unloaded mass of the sensor. This is in good agreement with the theoretical response. © 2013 IOP Publishing Ltd.
SponsorsThe authors acknowledge Dr Christine Eun and Jun Tang for assisting with the thin film layer depositions required for the eutectic bonding process. Dr Tao Li assisted with the parylene coating steps. Metglas Inc. provided samples for this project. This work was supported in part by the King Abdullah University of Science and Technology (KAUST, Saudi Arabia) and the University of Michigan.