Tailored magnetoelastic sensor geometry for advanced functionality in wireless biliary stent monitoring systems
被引:15
作者:
Green, Scott R.
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Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USAUniv Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
Green, Scott R.
[1
]
Gianchandani, Yogesh B.
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Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USAUniv Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
Gianchandani, Yogesh B.
[1
,2
]
机构:
[1] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
This paper presents three types of wireless magnetoelastic resonant sensors with specific functionalities for monitoring sludge accumulation within biliary stents. The first design uses a geometry with a repeated cell shape that provides two well-separated resonant mode shapes and associated frequencies to permit spatial localization of mass loading. The second design implements a pattern with specific variation in feature densities to improve sensitivity to mass loading. The third design uses narrow ribbons joined by flexible couplers; this design adopts the advantages in flexibility and expandability of the other designs while maintaining the robust longitudinal mode shapes of a ribbon-shaped sensor. The sensors are batch patterned using photochemical machining from 25 mu m thick 2605SA1 Metglas(TM), an amorphous Fe-Si alloy. Accumulation of biliary sludge is simulated with paraffin or gelatin, and the effects of viscous bile are simulated with a range of silicone fluids. Results from the first design show that the location of mass loads can be resolved within similar to 5 mm along the length of the sensor. The second design offers twice the sensitivity to mass loads (3000-36 000 ppm mg(-1)) of other designs. The third design provides a wide range of loading (sensitive to at least 10x the mass of the sensor) and survives compression into a 2 mm diameter tube as would be required for catheter-based delivery.