Title :
The Application of Topological Gradients to Defect Identification in Magnetic Flux Leakage-Type NDT
Author :
Li, M. ; Lowther, D.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
Abstract :
An inverse problem is formulated to indentify the shape and size of the defects in a nonlinear ferromagnetic material using the signal profile from magnetic flux leakage-type NDT. This paper presents an efficient algorithm based on topological shape optimization which exploits the topological gradient to accelerate the process of shape optimization to identify the defect. Topological gradient images for the cracks are obtained using 2-D and 3-D finite element models. Robustness of this imaging method in the presence of noise is also evaluated.
Keywords :
cracks; crystal defects; ferromagnetic materials; finite element analysis; inverse problems; magnetic flux; magnetic leakage; magnetic noise; nondestructive testing; topology; 2D finite element model; 3D finite element model; cracks; defect identification; imaging method; inverse problems; magnetic flux leakage-type NTD; noise; nonlinear ferromagnetic material; topological gradient image; topological shape optimization; Design optimization; Finite element methods; Inverse problems; Magnetic flux; Magnetic flux leakage; Magnetic materials; Noise robustness; Noise shaping; Nondestructive testing; Shape; Inverse problems; magnetic flux leakage signals; nondestructive testing; topology optimization;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2010.2045744
