20.500.12556/RUL-132158 Experimental characterisation of laser surface remelting via acoustic emission wavelet decomposition 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. lasers surface remelting acoustic emission signal processing wavelet laserji površinsko pretaljevanje akustična emisija procesiranje signalov valčna dekompozicija true false true Angleški jezik Slovenski jezik Članek v reviji 2021-10-14 08:44:02 2021-10-14 08:44:06 2022-09-12 04:11:17 0000-00-00 00:00:00 2021 0 0 Str. 3365-3374 Vol. 15 Nov./Dec. 2021 0000-00-00 Zaloznikova Objavljeno apc 0000-00-00 0000-00-00 0000-00-00 621.7+621.9:535(045) 2238-7854 10.1016/j.jmrt.2021.10.010 80445699 RAZ_Mojskerc_Bor_2021.pdf RAZ_Mojskerc_Bor_2021.pdf 1 3CDB5CC08383B6F92580AE67DAB0BEF7 c49243b49a9d2672df937cf665ae3823a0bdb559e6673b7e83c11225b626564a 10d6650a-2cbb-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149698 https://www.sciencedirect.com/science/article/pii/S2238785421011479 0 1fdcf827-2cba-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149697 Fakulteta za strojništvo 0 0 0