Investigating the fatigue failure characteristics of A283 Grade C steel using magnetic flux detection

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The Metal Magnetic Memory (MMM) method is a non-destructive testing method based on an analysis of the self-magnetic leakage field distribution on the surface of a component. It is used for determining the stress concentration zones or any irregularities on the surface or inside the components fabricated from ferrous-based materials. Thus, this paper presents the MMM signal behaviour due to the application of fatigue loading. A series of MMM data measurements were performed to obtain the magnetic leakage signal characteristics at the elastic, pre-crack and crack propagation regions that might be caused by residual stresses when cyclic loadings were applied onto the A283 Grade C steel specimens. It was found that the MMM method was able to detect the defects that occurred in the specimens. In addition, a justification of the Self Magnetic Flux Leakage patterns is discussed for demonstrating the effectiveness of this method in assessing the A283 Grade C steel under cyclic loadings.

Original languageEnglish
Pages (from-to)601-614
Number of pages14
JournalSteel and Composite Structures
Volume19
Issue number3
DOIs
Publication statusPublished - 1 Sep 2015

Fingerprint

Magnetic flux
Carbon steel
Metals
Fatigue of materials
Magnetic leakage
Data storage equipment
Nondestructive examination
Stress concentration
Crack propagation
Residual stresses
Cracks
Defects

Keywords

  • Crack propagation
  • Fatigue
  • Metal magnetic memory
  • Steel
  • Stress concentration

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Metals and Alloys

Cite this

Investigating the fatigue failure characteristics of A283 Grade C steel using magnetic flux detection. / Arifin, Azli; Jusoh, W. Z W; Abdullah, Shahrum; Jamaluddin, N.; Mohd Ihsan, Ahmad Kamal Ariffin.

In: Steel and Composite Structures, Vol. 19, No. 3, 01.09.2015, p. 601-614.

Research output: Contribution to journalArticle

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