An improved magnetic dipole model for MFL testing based on non-uniform magnetic charge distribution

被引:3
作者
Li, Shengping [1 ]
Bai, Libing [1 ]
Feng, Chunrui [1 ]
Zhang, Xu [1 ]
Liang, Yiping [1 ]
Ai, Jiangshan [1 ]
Zhang, Jie [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu, Peoples R China
基金
中国国家自然科学基金;
关键词
Non-destructive testing; magnetic flux leakage testing; MFL; magnetic dipole model; finite volume model; FLUX LEAKAGE; INVERSION; DEFECT; RECONSTRUCTION; FIELD;
D O I
10.1080/10589759.2023.2285336
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Magnetic flux leakage (MFL) signal prediction is important in ferromagnetic defect evaluation and reconstruction. At present, the magnetic dipole model (MDM) is the most widely applied method because of its high efficiency. However, it has low accuracy when applied to analysing complex defects (complex in profile and magnetic permeability) due to the original setting of uniform magnetic charge distribution. To solve the issue, this paper proposes an improved MDM method for MFL inspection of ferromagnetic materials by calculating the non-uniform magnetic charge distribution. It partly applies the finite volume method (FVM) to derive the magnetic charge distribution on the defect surface, which makes it able to take into account the defect's profile and magnetic permeability distribution. The new magnetic charge distribution can increase the MDM's accuracy for complex defect MFL field prediction with little extra cost. Experimental results show that, when compared with traditional MDM, the proposed one can achieve a maximum 69% decrease in root mean squared error when analysing complex defects. Compared with the numerical method, the computation time could reach a great reduction.
引用
收藏
页码:1960 / 1979
页数:20
相关论文
共 25 条
[11]   Nanofluid based optical sensor for rapid visual inspection of defects in ferromagnetic materials [J].
Mahendran, V. ;
Philip, John .
APPLIED PHYSICS LETTERS, 2012, 100 (07)
[12]   Estimating the sizes of surface cracks based on Hall element measurements of the leakage magnetic field and a dipole model of a crack [J].
Minkov, D ;
Takeda, Y ;
Shoji, T ;
Lee, J .
APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 2002, 74 (02) :169-176
[13]   Magnetic nanoemulsion aided optical defect detection in carbon steel components: Effect of defect width variation on optical contrast [J].
Nandy, Manali ;
Lahiri, B. B. ;
Philip, John .
JOURNAL OF APPLIED PHYSICS, 2022, 131 (20)
[14]   Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements [J].
Priewald, Robin H. ;
Magele, Christian ;
Ledger, Paul D. ;
Pearson, Neil R. ;
Mason, John S. D. .
IEEE TRANSACTIONS ON MAGNETICS, 2013, 49 (01) :506-516
[15]   Neural network-based inversion algorithms in magnetic flux leakage nondestructive evaluation [J].
Ramuhalli, P ;
Udpa, L ;
Udpa, SS .
JOURNAL OF APPLIED PHYSICS, 2003, 93 (10) :8274-8276
[16]   Effect of flaw orientation on magnetic flux leakage and remote field eddy current inspection of small diameter steel tubes [J].
Singh, W. Sharatchandra ;
Thirunavukkarasu, S. ;
Kumar, Anish .
NONDESTRUCTIVE TESTING AND EVALUATION, 2023, 38 (04) :553-571
[17]   An Analytical Model for Prediction of Magnetic Flux Leakage from Surface Defects in Ferromagnetic Tubes [J].
Suresh, V. ;
Abudhahir, A. .
MEASUREMENT SCIENCE REVIEW, 2016, 16 (01) :8-13
[18]   An Improved Dipole Model of 3-D Magnetic Flux Leakage [J].
Trevino, David A. G. ;
Dutta, Sushant M. ;
Ghorbel, Fathi H. ;
Karkoub, Mansour .
IEEE TRANSACTIONS ON MAGNETICS, 2016, 52 (12) :1-7
[19]   Solenoid Model for the Magnetic Flux Leakage Testing Based on the Molecular Current [J].
Wang, Yonggang ;
Cheng, Yuhua ;
Bai, Libing ;
Zhang, Jie ;
Yu, Haichao ;
Alimey, Fred John .
IEEE TRANSACTIONS ON MAGNETICS, 2018, 54 (12)
[20]   Dipole modelling of temperature-dependent magnetic flux leakage [J].
Wang, Yujue ;
Melikhov, Yevgen ;
Meydan, Turgut .
NDT & E INTERNATIONAL, 2023, 133