DocumentCode :
800647
Title :
A Parametric Study of Magneto-Optic Imaging Using Finite-Element Analysis Applied to Aircraft Rivet Site Inspection
Author :
Zeng, Zhiwei ; Liu, Xin ; Deng, Yiming ; Udpa, Lalita ; Xuan, Liang ; Shih, William C L ; Fitzpatrick, Gerald L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI
Volume :
42
Issue :
11
fYear :
2006
Firstpage :
3737
Lastpage :
3744
Abstract :
Magneto-optic/eddy current imaging (MOI) has become increasingly popular for inspecting aging aluminum airframes for cracks and corrosion due to its accuracy, reliability, and ease of use. As inspection requirements change, modifications to the MOI system must be made to improve sensitivity and resolution to reliably detect smaller and/or deeper defects in the aircraft structure. Incorporating such improvements by "cut and try" methods is time-consuming and expensive. Therefore, a numerical simulation model that produces quantitative values of the magnetic fields associated with induced eddy currents interacting with structural defects is an essential complement to the instrument development process. Such a model provides a convenient tool for parametrically evaluating the effectiveness of the MOI for detecting various structural defects. This paper presents a three-dimensional finite-element model of Maxwell\´s equations, utilizing the A-V formulation for numerical simulation of the MOI operation. The model is used to predict quantitative values of field distributions that produce the binary magneto-optic images of subsurface fatigue cracks at rivet sites in an aluminum airframe structure. A parametric study is performed to determine the effects of MOI operational parameters on the binary images. A skewness parameter based on the binary images is established to provide a measure of defect size. This parameter will prove useful for automatic detection and classification of defects. The model-generated images show good agreement with experimentally derived MOI images
Keywords :
Maxwell equations; aircraft maintenance; fatigue cracks; fault diagnosis; finite element analysis; inspection; magneto-optical effects; optical images; 3D finite-element model; MOI system; Maxwell equations; aircraft rivet site inspection; aircraft structure; aluminum airframe structure; aluminum airframes; automatic defect detection; binary images; binary magneto-optic images; defect classification; eddy current imaging; finite-element analysis; magneto-optic imaging; subsurface fatigue cracks; Aircraft; Aluminum; Eddy currents; Finite element methods; Image analysis; Inspection; Magnetic analysis; Magnetooptic effects; Numerical simulation; Parametric study; Eddy-current techniques; finite-element analysis; magneto-optic imaging;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2006.880997
Filename :
1715684
Link To Document :
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