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Proceedings Paper

Remote temperature and stress monitoring using low-frequency inductive sensing
Author(s): Ian Shay; Vladimir Zilberstein; Andrew Washabaugh; Neil Goldfine
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Paper Abstract

The use of giant magnetoresistive (GMR) sensing elements in inductive sensors permits low frequency operation for materials characterization and defect detection in aerospace and engineering materials. This offers a substantially increased depth of sensitivity over conventional eddy-current sensing coils and also allows new measurement capabilities, such as the non-contact remote monitoring of temperature and stress variations through material layers. This paper provides an overview of the Meandering Winding Magnetometer (MWM) drive winding constructs that incorporate GMR based sensing elements. The sensors are designed so that the magnetic field distribution created by the primary winding and the resulting response of sensing elements can be accurately modeled. Representative applications to be described include (1) detection and imaging of 3% material loss in a 6.4-mm (0.25-in.) thick aluminum plate, (2) monitoring of temperature variations of an aluminum plate located behind another 6.4-mm thick aluminum plate with an air gap between the plates, and (3) independent measurements of stress (through magnetic permeability measurements) in a steel plate located behind an aluminum plate with an air gap between the plates.

Paper Details

Date Published: 1 August 2003
PDF: 11 pages
Proc. SPIE 5046, Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Composites II, (1 August 2003); doi: 10.1117/12.484116
Show Author Affiliations
Ian Shay, JENTEK Sensors, Inc. (United States)
Vladimir Zilberstein, JENTEK Sensors, Inc. (United States)
Andrew Washabaugh, JENTEK Sensors, Inc. (United States)
Neil Goldfine, JENTEK Sensors, Inc. (United States)

Published in SPIE Proceedings Vol. 5046:
Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Composites II
Andrew L. Gyekenyesi; Peter J. Shull, Editor(s)

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