20.500.12556/RUL-134938 Investigation of laser surface remelting supported by acoustic emission analysis and machine learning 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. laser surface remelting microstructure acoustic emission machine learning lasersko površinsko pretaljevanje mikrostruktura akustična emisija strojno učenje true false true Angleški jezik Slovenski jezik Članek v reviji 2022-02-11 14:12:22 2022-02-11 14:12:25 2022-09-14 04:10:47 0000-00-00 00:00:00 2022 0 0 13 str. Vol. 53 2022 0000-00-00 PostprintKoncna Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 2023-02-04 620.1/.2:621.785:534 1073-5623 10.1007/s11661-021-06552-7 96993283 RAZ_Ravnikar_Dunja_2022.pdf RAZ_Ravnikar_Dunja_2022.pdf 1 9E6C0D86ED3BCF159668CC0691FC827D e7da73024a1191cfb65e9205cd44c93c899f889649f20a1eae271cabf2423614 516d8ab5-8b3c-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=153702 https://link.springer.com/article/10.1007/s11661-021-06552-7 1 05ea6dd0-8b3c-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=153701 Fakulteta za strojništvo 0 0 0