4.7 Article

Characterising the stress ratio effect for fatigue crack propagation parameters of SAE 1045 steel based on magnetic flux leakage

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ELSEVIER
DOI: 10.1016/j.tafmec.2022.103514

Keywords

Metal magnetic memory; Fatigue crack growth; Magnetic flux leakage; Non-destructive testing; Magneto -mechanical effects

Funding

  1. Universiti Kebangsaan Malaysia
  2. Ministry of Education Malaysia
  3. [GUP-2018-148]
  4. [FRGS/1/2018/TK03/UKM/02/1]

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The aim of this study was to determine the relationship between fatigue crack length, the number of cycles, the magnetic flux gradient intensity and the stress ratio. Experimental results showed an exponential increase in the magnetic flux gradient as the fatigue cycle and crack length increased. Governing equations were derived based on the magnetic flux gradient, and a statistical analysis of the magnetic flux leakage parameters suggested their potential use in predicting fatigue life as an alternative method.
The aim of this study was to determine the relationship between fatigue crack length, a, the number of cycles, N, the magnetic flux gradient intensity, dH/dx and the stress ratio, R. Fatigue crack growth tests were performed using a constant tensile load amplitude on SAE 1045 steel in the form of single-edge cracks. Stress ratio values of 0, 0.1, 0.2, 0.3 and 0.4 were used to study the characteristics of the magnetic flux gradient. A crack opening displacement device was used to detect the parameters of the stress intensity factor range, Delta K, fatigue crack growth rate, da/dN, and N. Meanwhile, a metal magnetic memory sensor device was used to detect the H value at the stress concentration zone when a 1 mm-increase in the crack occurred. The experimental results showed that as the fatigue cycle and crack length increased for each R, dH/dx also increased exponentially. The governing equations were derived based on the magnetic flux gradient for the fatigue crack length equation and the fatigue cycle equation, with the stress ratio. Based on a statistical analysis of the magnetic flux leakage signals, it was found that all the data were within a range based on a 90 % confidence level. Thus, the magnetic flux leakage parameters could be used to construct fatigue crack growth behaviour models for ferromagnetic materials and potentially as an alternative method for predicting the fatigue life.

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