Detecting internal defects of a steel plate by using low-frequency magnetic flux leakage method

Nannan Song; Yuta Haga; Tsuyoshi Goda; Kenji Sakai; Toshihiko Kiwa; Keiji Tsukada

doi:10.1109/SAS.2017.7894069

Detecting internal defects of a steel plate by using low-frequency magnetic flux leakage method

Nannan Song, Yuta Haga, Tsuyoshi Goda, Kenji Sakai, Toshihiko Kiwa, Keiji Tsukada

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

Steel is an important material in modern society. It is widely used in our lives, such as in buildings, bridges, and airplanes. We previously reported an analysis method for examining the internal defects of metal structures with eddy current testing (ECT) over a wide range of frequencies. However, internal defects in steel plates are difficult to detect using ECT. In this paper, we present a low-frequency magnetic flux leakage (MFL) method for the nondestructive evaluation of internal defects in steel structures, and an analysis and imaging method that uses the phase of a magnetic field to examine internal defects. By analyzing the phase change in the detected signal, the internal defects can be detected with no magnetic fluctuation. The phase map of the measured magnetic field exhibits good correlation with the simulation results. The two-dimensional magnetic phase map can be used to visualize the internal defects. This new method has been validated through both experiment and simulation.

Original language	English
Title of host publication	SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509032020
DOIs	https://doi.org/10.1109/SAS.2017.7894069
Publication status	Published - Apr 6 2017
Event	12th IEEE Sensors Applications Symposium, SAS 2017 - Glassboro, United States Duration: Mar 13 2017 → Mar 15 2017

Other

Other	12th IEEE Sensors Applications Symposium, SAS 2017
Country/Territory	United States
City	Glassboro
Period	3/13/17 → 3/15/17

Keywords

internal defects
low-frequency magnetic field
Magnetic flux leakage method
steel plate

ASJC Scopus subject areas

Instrumentation
Electrical and Electronic Engineering
Health Informatics

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10.1109/SAS.2017.7894069

Cite this

Detecting internal defects of a steel plate by using low-frequency magnetic flux leakage method. / Song, Nannan; Haga, Yuta; Goda, Tsuyoshi et al.

SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7894069.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Song, N, Haga, Y, Goda, T, Sakai, K , Kiwa, T & Tsukada, K 2017, Detecting internal defects of a steel plate by using low-frequency magnetic flux leakage method. in SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings., 7894069, Institute of Electrical and Electronics Engineers Inc., 12th IEEE Sensors Applications Symposium, SAS 2017, Glassboro, United States, 3/13/17. https://doi.org/10.1109/SAS.2017.7894069

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abstract = "Steel is an important material in modern society. It is widely used in our lives, such as in buildings, bridges, and airplanes. We previously reported an analysis method for examining the internal defects of metal structures with eddy current testing (ECT) over a wide range of frequencies. However, internal defects in steel plates are difficult to detect using ECT. In this paper, we present a low-frequency magnetic flux leakage (MFL) method for the nondestructive evaluation of internal defects in steel structures, and an analysis and imaging method that uses the phase of a magnetic field to examine internal defects. By analyzing the phase change in the detected signal, the internal defects can be detected with no magnetic fluctuation. The phase map of the measured magnetic field exhibits good correlation with the simulation results. The two-dimensional magnetic phase map can be used to visualize the internal defects. This new method has been validated through both experiment and simulation.",

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AU - Tsukada, Keiji

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N2 - Steel is an important material in modern society. It is widely used in our lives, such as in buildings, bridges, and airplanes. We previously reported an analysis method for examining the internal defects of metal structures with eddy current testing (ECT) over a wide range of frequencies. However, internal defects in steel plates are difficult to detect using ECT. In this paper, we present a low-frequency magnetic flux leakage (MFL) method for the nondestructive evaluation of internal defects in steel structures, and an analysis and imaging method that uses the phase of a magnetic field to examine internal defects. By analyzing the phase change in the detected signal, the internal defects can be detected with no magnetic fluctuation. The phase map of the measured magnetic field exhibits good correlation with the simulation results. The two-dimensional magnetic phase map can be used to visualize the internal defects. This new method has been validated through both experiment and simulation.

AB - Steel is an important material in modern society. It is widely used in our lives, such as in buildings, bridges, and airplanes. We previously reported an analysis method for examining the internal defects of metal structures with eddy current testing (ECT) over a wide range of frequencies. However, internal defects in steel plates are difficult to detect using ECT. In this paper, we present a low-frequency magnetic flux leakage (MFL) method for the nondestructive evaluation of internal defects in steel structures, and an analysis and imaging method that uses the phase of a magnetic field to examine internal defects. By analyzing the phase change in the detected signal, the internal defects can be detected with no magnetic fluctuation. The phase map of the measured magnetic field exhibits good correlation with the simulation results. The two-dimensional magnetic phase map can be used to visualize the internal defects. This new method has been validated through both experiment and simulation.

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Detecting internal defects of a steel plate by using low-frequency magnetic flux leakage method

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