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Experimental characterisation of laser surface remelting via acoustic emission wavelet decomposition
ID Mojškerc, Bor (Author), ID Ravnikar, Dunja (Author), ID Šturm, Roman (Author)

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Abstract
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.

Language:English
Keywords:lasers, surface remelting, acoustic emission, signal processing, wavelet
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status:Published
Publication version:Version of Record
Year:2021
Number of pages:Str. 3365-3374
Numbering:Vol. 15
PID:20.500.12556/RUL-132158 This link opens in a new window
UDC:621.7+621.9:535(045)
ISSN on article:2238-7854
DOI:10.1016/j.jmrt.2021.10.010 This link opens in a new window
COBISS.SI-ID:80445699 This link opens in a new window
Publication date in RUL:14.10.2021
Views:1208
Downloads:185
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Record is a part of a journal

Title:Journal of Materials Research and Technology
Shortened title:J. Mater. Res. Technol.
Publisher:Elsevier
ISSN:2238-7854
COBISS.SI-ID:519699737 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:laserji, površinsko pretaljevanje, akustična emisija, procesiranje signalov, valčna dekompozicija

Projects

Funder:ARRS - Slovenian Research Agency
Project number:P2-0270
Name:Proizvodni sistemi, laserske tehnologije in spajanje materialov

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