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 b...
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| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Fractal and Fractional |
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| Online Access: | https://www.mdpi.com/2504-3110/9/6/331 |
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| author | Matej Babič Roman Šturm Teofil-Florin Gălățanu Ildikó-Renáta Száva Ioan Száva |
| author_facet | Matej Babič Roman Šturm Teofil-Florin Gălățanu Ildikó-Renáta Száva Ioan Száva |
| author_sort | Matej Babič |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6334e484008e40539f937d2e8345b52c |
| institution | Kabale University |
| issn | 2504-3110 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fractal and Fractional |
| spelling | doaj-art-6334e484008e40539f937d2e8345b52c2025-08-20T03:27:02ZengMDPI AGFractal and Fractional2504-31102025-05-019633110.3390/fractalfract9060331Modeling Porosity Surface of 3D Selective Laser Melting Metal MaterialsMatej Babič0Roman Šturm1Teofil-Florin Gălățanu2Ildikó-Renáta Száva3Ioan Száva4Faculty of Information Studies, SI-8000 Novo Mesto, SloveniaFaculty of Mechanical Engineering, University of Ljubljana, SI-1000 Ljubljana, SloveniaFaculty of Civil Engineering, University of Transylvania Brasov, 500034 Brasov, RomaniaFaculty of Civil Engineering, University of Transylvania Brasov, 500034 Brasov, RomaniaFaculty of Mechanical Engineering, University of Transylvania Brasov, 500034 Brasov, RomaniaThe 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.https://www.mdpi.com/2504-3110/9/6/331additive manufacturing technologySLMmachine learning methodsfractal geometrymodeling |
| spellingShingle | Matej Babič Roman Šturm Teofil-Florin Gălățanu Ildikó-Renáta Száva Ioan Száva Modeling Porosity Surface of 3D Selective Laser Melting Metal Materials Fractal and Fractional additive manufacturing technology SLM machine learning methods fractal geometry modeling |
| title | Modeling Porosity Surface of 3D Selective Laser Melting Metal Materials |
| title_full | Modeling Porosity Surface of 3D Selective Laser Melting Metal Materials |
| title_fullStr | Modeling Porosity Surface of 3D Selective Laser Melting Metal Materials |
| title_full_unstemmed | Modeling Porosity Surface of 3D Selective Laser Melting Metal Materials |
| title_short | Modeling Porosity Surface of 3D Selective Laser Melting Metal Materials |
| title_sort | modeling porosity surface of 3d selective laser melting metal materials |
| topic | additive manufacturing technology SLM machine learning methods fractal geometry modeling |
| url | https://www.mdpi.com/2504-3110/9/6/331 |
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