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Proceedings Paper

Nano-based sensor for assessment of weaponry structural degradation
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Paper Abstract

Missiles and weaponry-based systems are composed of metal structures that can degrade after prolonged exposure to environmental elements. A particular concern is accumulation of corrosion that generally results from prolonged environmental exposure. Corrosion, defined as the unintended destruction or deterioration of a material due to its interaction with the environment, can negatively affect both equipment and infrastructure. System readiness and safety can be reduced if corrosion is not detected, prevented and managed. The current corrosion recognition methods (Visual, Radiography, Ultrasonics, Eddy Current, and Thermography) are expensive and potentially unreliable. Visual perception is the most commonly used method for determining corrosion in metal. Utilization of an inductance-based sensor system is being proposed as part of the authors’ research. Results from this research will provide a more efficient, economical, and non-destructive sensing approach. Preliminary results demonstrate a highly linear degradation within a corrosive environment due to the increased surface area available on the sensor coupon. The inductance of the devices, which represents a volume property of the coupon, demonstrated sensitivity to corrosion levels. The proposed approach allows a direct mass-loss measurement based on the change in the inductance of the coupon when placed in an alternating magnetic field. Prototype devices have demonstrated highly predictable corrosion rates that are easily measured using low-power small electronic circuits and energy harvesting methods to interrogate the sensor. Preliminary testing demonstrates that the device concept is acceptable and future opportunities for use in low power embedded applications are achievable. Key results in this paper include the assessment of typical Army corrosion cost, degradation patterns of varying metal materials, and application of wireless sensors elements.

Paper Details

Date Published: 16 April 2016
PDF: 11 pages
Proc. SPIE 9802, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2016, 980202 (16 April 2016); doi: 10.1117/12.2219581
Show Author Affiliations
Christina L. Brantley, U.S. Army Research, Development and Engineering Command (United States)
Eugene Edwards, U.S. Army Research, Development and Engineering Command (United States)
Paul B. Ruffin, Alabama A&M Univ. (United States)
Michael Kranz, EngeniusMicro, LLC (United States)

Published in SPIE Proceedings Vol. 9802:
Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2016
Vijay K. Varadan, Editor(s)

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