Automatic Scanning System for Back-Side Defect of Steel Structure Using Magnetic Flux Leakage Method

Kenji Sakai, Koji Morita, Yuta Haga, Toshihiko Kiwa, Katsumi Inoue, Keiji Tsukada

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

An automatic nondestructive evaluation system using the magnetic-flux-leakage method was developed for detecting the back-side defects of large structures in order to realize fast detection in a wide measurement area. A magnetic field was applied to an object using a ferrite yoke with an induction coil, and the leaked magnetic flux from the object was detected by a magnetoresistive sensor. This measurement probe was fixed on an automatic scanning system. The developed automatic scanning system detected magnetic signal changes corresponding to the back-side defects of the steel plates. To demonstrate the effectiveness of the developed system, we measured the steel plate of a cargo crane, which was corroded on the back side. We found that the detected magnetic signal changed markedly in the area with corrosion, whereas only a slight magnetic signal change was detected in the area without corrosion. Therefore, the developed system is useful for detecting the back-side defects in a wide area, and can be used for screening tests.

Original languageEnglish
Article number7151805
JournalIEEE Transactions on Magnetics
Volume51
Issue number11
DOIs
Publication statusPublished - Nov 1 2015

Fingerprint

Steel structures
Magnetic flux
Steel
Scanning
Defects
Corrosion
Cranes
Ferrite
Screening
Magnetic fields
Sensors

Keywords

  • Automatic testing
  • Magnetic flux leakage
  • Magnetic sensors
  • Non-destructive testing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Automatic Scanning System for Back-Side Defect of Steel Structure Using Magnetic Flux Leakage Method. / Sakai, Kenji; Morita, Koji; Haga, Yuta; Kiwa, Toshihiko; Inoue, Katsumi; Tsukada, Keiji.

In: IEEE Transactions on Magnetics, Vol. 51, No. 11, 7151805, 01.11.2015.

Research output: Contribution to journalArticle

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