Jaka Kovač (Author), Andraž Legat (Author), Bojan Zajec (Author), Tadeja Kosec Mikić (Author), Edvard Govekar (Author)

Abstract

In the paper the results of the acoustic emission (AE) based detection and characterization of stress-corrosion cracking (SCC) in stainless steel are presented. As supportive methods for AE interpretation, electrochemical noise, specimen elongation measurements, and digital imaging of the specimen surface were used. Based on the defined qualitative and quantitative time and power spectra characteristics of the AE bursts, a manual and an automatic procedure for the detection of crack related AE bursts were introduced. The results of the analysis of the crack related AE bursts indicate that the AE method is capable of detecting large scale cracks, where, apart from intergranular crack propagation, also some small ductile fractures occur. The sizes of the corresponding ductile fracture areas can be estimated based on a relative comparison of the energies of the detected AE bursts. It has also been shown that AE burst time and power spectra features can be successfully used for the automatic detection of SCC.

Keywords

fizika;ultrazvok;akustična emisija;korozijsko pokanje;spektralna analiza;pokanje;procesiranje signalov;physics;acoustic emission;signal processing;stress-corrosion cracking;spectral analysis;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FS - Faculty of Mechanical Engineering
UDC: 534(045)
COBISS: 14050843 Link will open in a new window
ISSN: 0041-624X
Views: 1837
Downloads: 827
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Other data

Secondary language: Slovenian
Secondary abstract: In the paper the results of the acoustic emission (AE) based detection and characterization of stress-corrosion cracking (SCC) in stainless steel are presented. As supportive methods for AE interpretation, electrochemical noise, specimen elongation measurements, and digital imaging of the specimen surface were used. Based on the defined qualitative and quantitative time and power spectra characteristics of the AE bursts, a manual and an automatic procedure for the detection of crack related AE bursts were introduced. The results of the analysis of the crack related AE bursts indicate that the AE method is capable of detecting large scale cracks, where, apart from intergranular crack propagation, also some small ductile fractures occur. The sizes of the corresponding ductile fracture areas can be estimated based on a relative comparison of the energies of the detected AE bursts. It has also been shown that AE burst time and power spectra features can be successfully used for the automatic detection of SCC.
Secondary keywords: fizika;ultrazvok;akustična emisija;korozijsko pokanje;spektralna analiza;pokanje;procesiranje signalov;
Type (COBISS): Article
Embargo end date (OpenAIRE): 2017-06-01
Pages: str. 312-322
Issue: ǂVol. ǂ62
Chronology: 2015
DOI: 10.1016/j.ultras.2015.06.005
ID: 10999479