DocumentCode
2468472
Title
Investigations of the fatigue damage in 16Mn steels by wavelet-based acoustic emission technique
Author
Li, Jing ; Han, Zhiyuan ; Luo, Hongyun ; Cao, Jingwei ; Zhang, Yubo
Author_Institution
Sch. of Mater. Sci. & Eng., Beihang Univ., Beijing, China
fYear
2012
fDate
23-25 May 2012
Firstpage
1
Lastpage
5
Abstract
16Mn steel is widely used in the large structural machines such as cranes. Fatigue is one of the most common failure modes in this material. Thus, monitoring of the fatigue damage in 16Mn steel is important for the health monitoring of these large engineering structures. In this paper, fatigue crack propagation tests were carried out for hot rolled and low temperature tempered 16Mn steels. Acoustic emission (AE) signals obtained from the fatigue tests were processed by wavelet packet transform (WPT) analysis. The energy distribution in each component of the AE signals was calculated for different specimens. Ratio of energy was extracted as a feature parameter. The results showed that the ratio of energy in each node was different in the hot rolled and low temperature tempered 16Mn steels respectively. The ratio of energy depended on the micro-structure. Based on the SEM fractography observations in this study, these results could be well explained by the different fatigue crack propagation mechanisms.
Keywords
acoustic emission; acoustic signal processing; condition monitoring; failure (mechanical); fatigue cracks; fatigue testing; feature extraction; fractography; hot rolling; mechanical engineering computing; scanning electron microscopy; steel; wavelet transforms; 16Mn steels; SEM fractography observations; acoustic emission signals; energy distribution; engineering structures; failure modes; fatigue crack propagation mechanisms; fatigue crack propagation tests; fatigue damage investigations; feature parameter extraction; health monitoring; hot rolling; structural machines; wavelet packet transform analysis; wavelet-based acoustic emission technique; Acoustic emission; Equations; Materials; Numerical analysis; Steel; Wavelet analysis; Wavelet packets; 16Mn steel; Acoustic emission; Fatigue; wavelet packet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location
Beijing
ISSN
2166-563X
Print_ISBN
978-1-4577-1909-7
Electronic_ISBN
2166-563X
Type
conf
DOI
10.1109/PHM.2012.6228805
Filename
6228805
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