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

Volume

46

Issue

8

fYear

2010

Firstpage

3221

Lastpage

3224

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;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2010.2045744

Filename

5512921