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Multiple cracks detection and visualization using magnetic flux leakage and eddy current pulsed thermography

Lookup NU author(s): Professor Gui Yun TianORCiD, Kongjing Li


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This paper investigates two non-destructive evaluation methods, magnetic flux leakage (MFL) and eddy current pulsed thermography (ECPT), for both artificial and natural multiple cracks (MC) detection and visualization. The detection capability and characteristics of MC visualization are verified and compared through simulations and experiments. Results show that, MFL testing reflects the surface shapes and orientations of MC by 3D magnetic field imaging. However, it is unable to evaluate the depth of artificial MC and detailed surface shapes of natural MC due to limitations of sensor array spatial resolution. ECPT shows more capability in MC visualization in detail from thermal images. The obtained thermal image sequences from ECPT demonstrate rich transient and pattern information to evaluate MC geometrical features. After discussion of the two methods with the probability of detection (POD) analysis, a promising new sensing structure which potentially combines both advantages of them is proposed to enhance the NDE performance for MC evaluation.

Publication metadata

Author(s): Gao Y, Tian GY, Li K, Ji J, Wang P, Wang H

Publication type: Article

Publication status: Published

Journal: Sensors and Actuators A: Physical

Year: 2015

Volume: 234

Pages: 269-281

Print publication date: 01/10/2015

Online publication date: 08/09/2015

Acceptance date: 05/09/2015

ISSN (print): 0924-4247

ISSN (electronic): 1873-3069

Publisher: Elsevier


DOI: 10.1016/j.sna.2015.09.011


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Funder referenceFunder name
61527803National Natural Science Foundation of China
50907032National Natural Science Foundation of China
51377015National Natural Science Foundation of China
KYLX_0253Funding of Jiangsu Innovation Program for Graduate Education
KYLX_0253Fundamental Research Funds for the Central Universities
NZ2012115Fundamental Research Funds for the Central Universities