Investigation of laser surface remelting supported by acoustic emission analysis and machine learning

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

In the present work, laser surface remelting (LSR) was carried out on C45 carbon steel using an Nd:YAG pulse laser. The effect of process parameters, such as different laser pulse durations and the absence or presence of a graphite absorber, on the microstructure, remelting depth, and microhardness was examined. In most cases, the graphite coating enhanced the laser energy absorption into the surface, resulting in greater depths of the remelted zone (RZ). RZ depth increased ranging from 8 to 350 pct, depending on the laser pulse duration. An increase in the surface microhardness by a factor of 2.6 was achieved in comparison with the substrate material microhardness, namely 559 HV 0.05 versus 211 HV 0.05. Concurrently, the LSR treatment parameters were also investigated using the in process generated acoustic emission (AE) signals. AE characteristics, such as AE peak amplitude, signal duration, count, and energy, were evaluated. A correlation of the AE characteristics was established for the various LSR treatment parameters. The LSR treatment classification results confirm the feasibility of using AE in combination with machine learning (ML) for monitoring LSR and the resulting surface properties of the hardened material.

• Jezik: Angleški jezik
• Ključne besede: laser surface remelting, microstructure, acoustic emission, machine learning
• 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: 2022
• Št. strani: 13 str.
• Številčenje: Vol. 53
• PID: 20.500.12556/RUL-134938
• UDK: 620.1/.2:621.785:534
• ISSN pri članku: 1073-5623
• DOI: 10.1007/s11661-021-06552-7
• COBISS.SI-ID: 96993283
• Datum objave v RUL: 11.02.2022

Gradivo je del revije

• Naslov: Metallurgical and materials transactions
• Skrajšan naslov: Metall. mater. trans., A Phys. metall. mater. sci.
• Založnik: Minerals, Metals & Materials Society, ASM International
• ISSN: 1073-5623
• COBISS.SI-ID: 2752790

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 04.02.2022

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: lasersko površinsko pretaljevanje, mikrostruktura, akustična emisija, strojno učenje

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P2-0270
• Naslov: Proizvodni sistemi, laserske tehnologije in spajanje materialov