ELUCIDATING THE FRACTAL NATURE OF POWDER BED IN SELECTIVE LASER MELTING OF METALLIC COMPONENTS
Jorge A. Estrada-Dã Az (),
Oscar Martã Nez-Romero (),
Daniel Olvera-Trejo () and
ELà AS-ZÚÑIGA Alex
Additional contact information
Jorge A. Estrada-Dã Az: School of Engineering and Science, Tecnologico de Monterrey, Av. E. Garza Sada 2501 Sur, Monterrey, Nuevo León 64849, México
Oscar Martã Nez-Romero: School of Engineering and Science, Tecnologico de Monterrey, Av. E. Garza Sada 2501 Sur, Monterrey, Nuevo León 64849, México
Daniel Olvera-Trejo: School of Engineering and Science, Tecnologico de Monterrey, Av. E. Garza Sada 2501 Sur, Monterrey, Nuevo León 64849, México
ELà AS-ZÚÑIGA Alex: School of Engineering and Science, Tecnologico de Monterrey, Av. E. Garza Sada 2501 Sur, Monterrey, Nuevo León 64849, México
FRACTALS (fractals), 2022, vol. 30, issue 03, 1-11
Abstract:
In this work, the fractal nature of Selective Laser Melting (SLM) additive manufacturing process (AM) is elucidated. Fractal dimension and lacunarity of metallic powders are calculated from Scanning Electron Microscopy (SEM) images adapted from literature. The complexity and homogeneity of the textures of the powder beds are also studied through the comparison of fractal dimension and lacunarity. It is found that better densification results are obtained when the powder bed’s fractal dimension is closer to the golden mean number of 1.618. Furthermore, this finding is extended to expressions for predicting the component’s bulk density produced via SLM by setting the α exponent equal to the golden mean value and finding the proportionality constant, C, using a nonlinear least squares method. The proposed approach works well since theoretical prediction and experimental data compare well with root-mean-square-error (RMSE) values that do not exceed 7 × 10−08. This work sheds new light on enhancing additive manufacturing technologies considering the fractal nature of SLM since its process mathematical models are constructed around Euclidian space-time with continuous smooth assumptions that should be adapted to include the fractal nature of the manufacturing process aiming to improve their precision. The underlying interweaving of SLM, as a fractal process, and the golden mean number is revealed.
Keywords: Selective Laser Melting; Fractal Nature; Metallic Powder Bed; Additive Manufacturing; Fractal Dimension (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218348X22500621
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:fracta:v:30:y:2022:i:03:n:s0218348x22500621
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0218348X22500621
Access Statistics for this article
FRACTALS (fractals) is currently edited by Tara Taylor
More articles in FRACTALS (fractals) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().