Steel and Composite Structures

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

  • Arifin, A. (Department of Mechanical & Materials Engineering, Faculty of Engineering and Built Enviroments, Universiti Kebangsaan Malaysia) ;
  • Jusoh, W.Z.W. (Department of Mechanical & Materials Engineering, Faculty of Engineering and Built Enviroments, Universiti Kebangsaan Malaysia) ;
  • Abdullah, S. (Department of Mechanical & Materials Engineering, Faculty of Engineering and Built Enviroments, Universiti Kebangsaan Malaysia) ;
  • Jamaluddin, N. (Department of Mechanical & Materials Engineering, Faculty of Engineering and Built Enviroments, Universiti Kebangsaan Malaysia) ;
  • Ariffin, A.K. (Department of Mechanical & Materials Engineering, Faculty of Engineering and Built Enviroments, Universiti Kebangsaan Malaysia)
  • Received : 2014.12.26
  • Accepted : 2015.02.04
  • Published : 2015.09.25
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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.

Keywords

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