Experimental characterisation of laser surface remelting via acoustic emission wavelet decomposition

Bor Mojškerc (Avtor), Dunja Ravnikar (Avtor), Roman Šturm (Avtor)

Povzetek

This paper presents a novel technique of monitoring laser surface remelting (LSR) via measurements of process generated acoustic emission (AE). The LSR conditions include a variable laser power level and an ambient air or argon 5.0 inert gas atmosphere. The microstructure and microhardness of the remelted surface layer are evaluated. The recorded AE signal datasets are analysed via the wavelet decomposition technique. The resulting energy and energy proportions of approximation and detail coefficients are calculated. The decomposed AE signal features are evaluated in correlation with the LSR process conditions. A supervised machine learning cubic support vector machine classifier type is used for the classification of laser pulses. The experimental results show an overall 98% classification accuracy into the corresponding LSR laser power level and atmosphere conditions, confirming the utility of monitoring the LSR process and the resulting material surface layer characteristics via the AE wavelet decomposition technique.

Ključne besede

lasers;surface remelting;acoustic emission;signal processing;wavelet;

Podatki

Jezik:	Angleški jezik
Leto izida:	2021
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UL FS - Fakulteta za strojništvo
UDK:	621.7+621.9:535
COBISS:	80445699
ISSN:	2238-7854
Št. ogledov:	170
Št. prenosov:	85
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Slovenski jezik
Sekundarne ključne besede:	laserji;površinsko pretaljevanje;akustična emisija;procesiranje signalov;valčna dekompozicija;
Vrsta dela (COBISS):	Članek v reviji
Strani:	str. 3365-3374
Zvezek:	ǂVol. ǂ15
Čas izdaje:	Nov./Dec. 2021
DOI:	10.1016/j.jmrt.2021.10.010
ID:	13700552