20.500.12556/ReVIS-12629 Modeling porosity surface of 3D selective laser melting metal materials The most popular method for additively printing metal components is selective laser melting (SLM), which works well for creating working models and prototypes. A fine metal powder, often (stainless) steel or aluminum, serves as the initial material. A very accurate laser is used to melt this layer by layer. The most important factor here is the short throughput time in comparison to milling. Selective laser melting becomes increasingly valuable as geometry becomes more complex. Presented study models the porosity of 3D SLM of metal materials using genetic programming and network theory. We used fractal dimensions to determine the complexity of the microstructure of selective laser melting specimens. The method’s usefulness and efficiency were confirmed by experimental work using an EOS M 290 3D printer and EOS Maraging Steel MS1. This study then presented a novel viewpoint on porosity and has important ramifications for additive manufacturing quality control, which could improve the accuracy and effectiveness of 3D metal printing. The goal was to present a modeling porosity of 3D SLM of metal materials by using a method of intelligent system. additive manufacturing technology SLM machine learning methods fractal geometry modeling tehnologija aditivne proizvodnje selektivno lasersko taljenje metode strojnega učenja fraktalna geometrija modeliranje true true true Angleški jezik Slovenski jezik Neznano 2025-12-04 16:22:35 2025-12-04 16:22:35 2025-12-06 03:05:15 0000-00-00 00:00:00 2025 0 0 Nasl. z nasl. zaslona; Opis vira z dne 4. 12. 2025; Soavtorji: Roman Šturm, Teofil-Florin Gălăţanu, Ildikó-Renáta Száva and Ioan Száva; 13 str. iss. 6, [art. no.] 331 Vol. 9 2025 0000-00-00 PostprintKoncna Objavljeno NiDoloceno 2025-03-11 2025-05-13 2025-05-22 621.791.725:004.92:004.89 2504-3110 260066307 10.3390/fractalfract9060331 RAZ_Babic_Matej_2025.pdf RAZ_Babic_Matej_2025.pdf 1 183FC0AE4F862F5932A05B0082D4165D 0e2dfae501589c8589006de91ca81aaac9f3b7ff69a9dc165a99a01f6fb439bd 48d57bd5-d125-11f0-94a7-001a4af901a5 https://revis.openscience.si/Dokument.php?lang=slv&id=14823 Fakulteta za informacijske študije v Novem mestu 0 0 0