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

Povzetek

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.

Ključne besede

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

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FS - Fakulteta za strojništvo
UDK: 534(045)
COBISS: 14050843 Povezava se bo odprla v novem oknu
ISSN: 0041-624X
Št. ogledov: 1837
Št. prenosov: 827
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarni povzetek: 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.
Sekundarne ključne besede: fizika;ultrazvok;akustična emisija;korozijsko pokanje;spektralna analiza;pokanje;procesiranje signalov;
Vrsta dela (COBISS): Članek v reviji
Konec prepovedi (OpenAIRE): 2017-06-01
Strani: str. 312-322
Zvezek: ǂVol. ǂ62
Čas izdaje: 2015
DOI: 10.1016/j.ultras.2015.06.005
ID: 10999479