Development of Giant Magnetoresistive inspection system for detection of deep fatigue cracks under airframe fasteners

Wincheski, Buzz; Simpson, John; Namkung, M.; Perey, Dan; Scales, Ed; Louie, Richard N.

doi:10.1063/1.1472906

Cited by 20 publications

(13 citation statements)

References 5 publications

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“…To cope with the practical situation that the defect orientation is not known in advance or is unpredictable, two methods have been developed-rotationally scanning on the suspicious zone [19][20][21] and developing a rotating current excitation [22][23][24][25][26]. They have the same underlying physics for the sensing mechanism but the latter is superior to the former because it avoids the inevitable noise caused by mechanically rotating and is suitable for a C-scan or even a line scan.…”

Section: Introductionmentioning

confidence: 99%

Rotating Focused Field Eddy-Current Sensing for Arbitrary Orientation Defects Detection in Carbon Steel

Wang

Deng

2020

Sensors

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This paper presents a rotating focused field eddy-current (EC) sensing technique, which leverages the advantages of magnetic field focusing and rotating magnetic field, for arbitrary orientation defects detection. The sensor consists of four identical excitation coils orthogonally arranged in an upside-down pyramid configuration and a giant magneto-resistive (GMR) detection element. The four coils are connected to form two figure-8-shaped focusing sub-probes, which are fed by two identical harmonic currents with 90 degrees phase difference. A finite element model-based study of arbitrary orientation defects detection was performed to understand the probe operational characteristics and optimize its design parameters. Probe prototyping and experimental validation were also carried out on a carbon steel plate specimen with four prefabricated surface-breaking defects. In-situ spot inspection with the probe rotating above the defect and a manual line-scan inspection were both conducted. Results showed that the probe has the capability of detecting defects with any orientations while maintaining the same sensitivity and the defect depth can be quantitatively evaluated by using the signal amplitude. Compared with the existing rotating field probes, the presented probe does not require additional excitation adjustment or data fusion. Meanwhile, due to its focusing effect, it can generate a strong rotating magnetic field at the defect location with a weak background noise, thus yielding superior signal-to-noise ratio.

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Section: Introductionmentioning

confidence: 99%

Rotating Focused Field Eddy-Current Sensing for Arbitrary Orientation Defects Detection in Carbon Steel

Wang

Deng

2020

Sensors

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“…The MR-sensor-based NDEM of subsurface mechanical and chemical damages in metallic or magnetic components was introduced, especially, to investigate the components used in high-standard products (e.g., aircrafts) [102][103][104]. A GMR-based inspection probe was developed to detect the subsurface fatigue cracks and holes under airframe fasteners [104]. The functionality of the developed probe was studied by both finite-element-method simulation and experiment.…”

Section: Non-destructive Evaluation and Monitoring (Ndem)mentioning

confidence: 99%

Magnetoresistive Sensor Development Roadmap (Non-Recording Applications)

et al. 2019

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Magnetoresistive (MR) sensors have been identified as promising candidates for the development of high-performance magnetometers due to their high sensitivity, low cost, low power consumption, and small size. The rapid advance of MR sensor technology has opened up a variety of MR sensor applications. These applications are in different areas that require MR sensors with different properties. Future MR sensor development in each of these areas requires an overview and a strategic guide. A MR sensor roadmap (non-recording applications) was therefore developed and made public by the Technical Committee of The IEEE Magnetics Society with the aim to provide an R&D guide for MR sensors intended to be used by industry, government, and academia. The roadmap was developed over a three-year period and coordinated by an international effort of 22 taskforce members from 10 countries and 17 organizations, including universities, research institutes, and sensor companies. In this paper, the current status of MR sensors for non-recording

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“…Vx(vVxA)=J (5) where the reluctivity v is the inverse of the permeability p. For linear isotropic materials and assuming Coulomb Gauge ( V A = 0 ), Equation 3.5 reduces to [12] -vV2A =J (6) Commercial finite element analysis package Ansys, is used in the solution of the problem [13]. Details of model and results are given next.…”

Section: Computational Modelingmentioning

confidence: 99%

Development of Metal Inspection System Exploiting Magnetoresistive Sensors

Elshafiey

Mohra

2006

2006 6th International Workshop on System on Chip for Real Time Applications

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Advances in magnetoresistive (MR) type sensors provide a new technique for nondestructive evaluation NDE of metal structures. MR sensors include high sensitivity and reduced size. Being produced by thin film processing techniques, the manufacturing cost of these sensors is low. This paper provides an attempt to develop an NDE system that depends on one type of MR sensors, namely the giant MR (GMR) elements. An example is considered of detecting defects in printed circuit boards. System details and experimental results are provided. Computational modeling validation is introduced based on finite element analysis.1-4244-0898-9J061$20.00 ©2006 IEEE.

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Development of Giant Magnetoresistive inspection system for detection of deep fatigue cracks under airframe fasteners

Cited by 20 publications

References 5 publications

Rotating Focused Field Eddy-Current Sensing for Arbitrary Orientation Defects Detection in Carbon Steel

Rotating Focused Field Eddy-Current Sensing for Arbitrary Orientation Defects Detection in Carbon Steel

Magnetoresistive Sensor Development Roadmap (Non-Recording Applications)

Development of Metal Inspection System Exploiting Magnetoresistive Sensors

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