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Detection and characterization of stainless steel SCC by the analysis of crack related acoustic emission
ID Kovač, Jaka (Avtor), ID Legat, Andraž (Avtor), ID Zajec, Bojan (Avtor), ID Kosec, Tadeja (Avtor), ID Govekar, Edvard (Avtor)

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Jezik:Angleški jezik
Ključne besede:physics, acoustic emission, signal processing, stress-corrosion cracking, spectral analysis
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Status publikacije:Objavljeno
Različica publikacije:Recenzirani rokopis
Leto izida:2015
Št. strani:Str. 312-322
Številčenje:Vol. 62
PID:20.500.12556/RUL-105930 Povezava se odpre v novem oknu
UDK:534(045)
ISSN pri članku:0041-624X
DOI:10.1016/j.ultras.2015.06.005 Povezava se odpre v novem oknu
COBISS.SI-ID:14050843 Povezava se odpre v novem oknu
Datum objave v RUL:24.12.2018
Število ogledov:1725
Število prenosov:800
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Ultrasonics
Skrajšan naslov:Ultrasonics
Založnik:Butterworth Scientific
ISSN:0041-624X
COBISS.SI-ID:26569728 Povezava se odpre v novem oknu

Sekundarni jezik

Jezik:Slovenski jezik
Izvleček:
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

Projekti

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P2-0241, P2-0273
Naslov:Sinergetika kompleksnih sistemov in procesov, Gradbeni objekti in materiali

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