The probabilistic analysis of fatigue crack effect based on magnetic flux leakage

M. I.M. Ahmad, Azli Arifin, Shahrum Abdullah, W. Z.W. Jusoh, S. S.K. Singh

Research output: Contribution to journalArticle

Abstract

In this paper, probabilistic analysis on the fatigue crack effect was investigated by applying the Metal Magnetic Memory (MMM) method, based on Self-Magnetic Leakage Field (SMLF) signals on the surface of metal components. The precision of MMM signals is essential in identifying the validity of the proposed method. The tension-tension fatigue test was conducted using the testing frequency of 10 Hz with 4 kN loaded, and the MMM signals were captured using the MMM instrument. As a result, a linear relationship was observed between the magnetic flux leakage and cyclic loading parameter, presenting the R-squared value at 0.72–0.97. The 2P-Weibull distribution function was used as a probabilistic approach to identify the precision of the data analysis from the predicted, and experimental fatigue lives, thereby showing that all points are placed within the range of a factor of 2. Additionally, the characteristics of PDF, CDF, failure rate and failure probability data analysis were plotted and described. Therefore, a 2P-Weibull probability distribution approach is determined to be an appropriate method to determine the accuracy of data analysis for MMM signals in a fatigue test for metal components.

Original languageEnglish
Pages (from-to)18-30
Number of pages13
JournalInternational Journal of Reliability and Safety
Volume13
Issue number1-2
DOIs
Publication statusPublished - 1 Jan 2019

Fingerprint

Magnetic flux
Metals
Data storage equipment
Fatigue of materials
Magnetic leakage
Weibull distribution
Fatigue cracks
Probability distributions
Distribution functions
Testing

Keywords

  • Fatigue lives
  • Metal magnetic memory signals
  • Probabilistic
  • Weibull distribution

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

Cite this

The probabilistic analysis of fatigue crack effect based on magnetic flux leakage. / Ahmad, M. I.M.; Arifin, Azli; Abdullah, Shahrum; Jusoh, W. Z.W.; Singh, S. S.K.

In: International Journal of Reliability and Safety, Vol. 13, No. 1-2, 01.01.2019, p. 18-30.

Research output: Contribution to journalArticle

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