Selective laser melting : a novel method for surface roughness analysis

Babič, Matej (avtor), Kovačič, Miha (avtor), Fragassa, Cristiano (avtor), Šturm, Roman (avtor)

The present study introduces a novel approach to analyse the surface roughness of metal parts made by 3D selective laser melting (SLM). This technology, known for its ability to efficiently produce functional prototypes and limited-run series, is particularly effective when surface conditions directly meet usage requir ements. Thus, the suitability of surfaces is a critical factor, emphasizing the importance of new methods for predicting their quality. Here fractal geometry and network theory are integrated to delve into the complexities of SLM-produced surfaces, while machine learning and pattern recognition concepts are employed to evaluate the surface roughness. Specifically, genetic programming, artificial neural networks, support vector machine, random forest, k-nearest neighbors are compared in terms of accuracy demonstrating that only the first method provided valid estimation due to the presence of very little training data. Experimental work with EOS Maraging Steel MS1 and an EOS M 290 3D printer validates the method’s practicality and effectiveness. Then, the research offers a fresh perspective in surface analysis and has significant implications for quality control in additive manufacturing, potentially enhancing the precision and efficiency of 3D metal printing.

• Jezik: Angleški jezik
• Ključne besede: additive manufacturing, selective laser melting, surface roughness, fractal geometry, network theory, genetic programming
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2024
• Št. strani: Str. 313-324
• Številčenje: Vol. 70, no. 7/8
• PID: 20.500.12556/RUL-163452
• UDK: 621.7.019:004.4
• ISSN pri članku: 0039-2480
• DOI: 10.5545/sv-jme.2024.1009
• COBISS.SI-ID: 209426179
• Datum objave v RUL: 07.10.2024

Gradivo je del revije

• Naslov: Strojniški vestnik
• Skrajšan naslov: Stroj. vestn.
• Založnik: Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
• ISSN: 0039-2480
• COBISS.SI-ID: 762116

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.

Sekundarni jezik

• Jezik: Slovenski jezik
• Naslov: Selektivno lasersko taljenje: nova metoda za analizo površinske hrapavosti
• Ključne besede: aditivna proizvodnja, selektivno lasersko taljenje, hrapavost površine, fraktalna geometrija, teorija omrežij, genetsko programiranje