Acoustic Emission Monitoring of Fatigue Crack Growth in Hadfield Steel

Evaluating the condition of a Hadfield steel crossing nose using existing inspection methods is subject to accessibility and geographical constraints. Thus, the use of conditional monitoring techniques to complement the existing inspection methods has become increasingly necessary. This paper focuse...

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Published inSensors (Basel, Switzerland) Vol. 23; no. 14; p. 6561
Main Authors Shi, Shengrun, Wu, Guiyi, Chen, Hui, Zhang, Shuyan
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 20.07.2023
MDPI
Subjects
acoustic emission
Acoustic emission testing
Analysis
Bending stresses
crack growth
Crack initiation
Distribution (Probability theory)
Energy
Fatigue
Fatigue testing machines
Hadfield steel
Laws, regulations and rules
Manganese steel
Materials
Metal fatigue
power law
Preventive maintenance
Probability distribution
Trends
acoustic emission
crack growth
Hadfield steel
power law
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Summary:Evaluating the condition of a Hadfield steel crossing nose using existing inspection methods is subject to accessibility and geographical constraints. Thus, the use of conditional monitoring techniques to complement the existing inspection methods has become increasingly necessary. This paper focuses on the study of acoustic emission (AE) behaviour and its correlation with fatigue crack growth in Hadfield steel during bending fatigue tests. The probability density function for acoustic emission parameters was analysed based on the power law distribution. The results show that a sharp increase in the moving average and cumulative sum of the AE parameter can give early warning against the final failure of Hadfield steel. Two parts (Part 1 and Part 2) can be identified using the change in the slope of duration rate (dD/dN) vs. ΔK plot during the stable fatigue crack growth (FCG) process where Paris’s law is valid. The fitted power law exponent of AE parameters is smaller in Part 2 than in Part 1. The novelty of this research lies in the use of the fitted power law distribution of AE parameters for monitoring fatigue damage evolution in Hadfield steel, unlike existing AE fatigue monitoring methodology, which relies solely on the analysis of AE parameter trends.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s23146561