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Proceedings Paper

Novel designed magnetic leakage testing sensor with GMR for image reconstruction algorithm
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Paper Abstract

Authors had developed an image reconstruction algorithm that can accurately reconstruct images of flaws from data obtained using conventional ECT sensors few years ago. The developed reconstruction algorithm is designed for data which is assumed to be obtained with spatial uniform magnetic field on the target surface. On the other hand, the conventional ECT sensor author used is designed in such a manner that when the magnetic field is imposed on the target surface, the strength of the magnetic field is maximized. This violation of the assumption ruins the algorithm simplicity because it needs to employ complemental response functions called"LSF"for long line flaw which is not along original algorithm design.In order to obtain an experimental result which proves the validity of original algorithm with only one response function, the authors have developed a prototype sensor for magnetic flux leakage testing that satisfy the requirement of original algorithm last year. The developed sensor comprises a GMR magnetic field sensor to detect a static magnetic field and two magnets adjacent to the GMR sensor to magnetize the target specimen. However, obtained data had insufficient accuracy due to weakness of the strength of the magnet. Therefore author redesigned it with much stronger magnet this year. Obtained data with this new sensor shows that the algorithm is most likely to work well with only one response function for this type probe.

Paper Details

Date Published: 4 April 2012
PDF: 5 pages
Proc. SPIE 8347, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012, 83472O (4 April 2012); doi: 10.1117/12.915783
Show Author Affiliations
Akira Sasamoto, National Institute of Advanced Industrial Science and Technology (Japan)
Takayuki Suzuki, National Institute of Advanced Industrial Science and Technology (Japan)


Published in SPIE Proceedings Vol. 8347:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012
Andrew L. Gyekenyesi, Editor(s)

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