Selective laser melting

ǂa ǂnovel method for surface roughness analysis

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

Abstract

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.

Keywords

additive manufacturing;selective laser melting;surface roughness;fractal geometry;network theory;genetic programming;

Data

Language:	English
Year of publishing:	2024
Typology:	1.01 - Original Scientific Article
Organization:	UL FS - Faculty of Mechanical Engineering
UDC:	621.7.019:004.4
COBISS:	209426179
ISSN:	0039-2480
Views:	11
Downloads:	1
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary title:	Selektivno lasersko taljenje: nova metoda za analizo površinske hrapavosti
Secondary keywords:	aditivna proizvodnja;selektivno lasersko taljenje;hrapavost površine;fraktalna geometrija;teorija omrežij;genetsko programiranje;
Type (COBISS):	Article
Pages:	str. 313-324
Volume:	ǂVol. ǂ70
Issue:	ǂno. ǂ7/8
Chronology:	July-Aug. 2024
DOI:	10.5545/sv-jme.2024.1009
ID:	25250240