Aufsatz
Investigation of processing windows in additive manufacturing of AlSi10Mg for faster production utilizing data-driven modeling
Abstract
To reduce production time and decrease production cost, the increase of layer thickness is an adequate option in powder bed fusion. In order to determine the relationships between process parameters in laser powder bed fusion (PBF-LB/M) and final porosity in AlSi10Mg, samples were processed following a space-filling experimental design in the present study. A total of 144 samples were fabricated considering layer thicknesses of 30 µm, 45 µm, 60 µm, and 90 µm. Afterwards, porosity was assessed using image analysis and computed tomography. Different types of defects were found as expected, however, fully dense parts were realized in case of every considered layer thickness. Predictive models were developed using data-driven approaches, eventually enabling multivariate analysis of the correlations and determination of appropriate processing conditions resulting in both low porosity of parts and high build rates.
Citation
In: Additive Manufacturing Volume 55 (2022-04-29) eissn:2214-8604Sponsorship
Gefördert durch den Publikationsfonds der Universität KasselCitation
@article{doi:10.17170/kobra-202309228799,
author={Engelhardt, Anna and Kahl, Matthias and Richter, Julia and Krooß, Philipp and Kroll, Andreas and Niendorf, Thomas},
title={Investigation of processing windows in additive manufacturing of AlSi10Mg for faster production utilizing data-driven modeling},
journal={Additive Manufacturing},
year={2022}
}
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2023-10-05T05:06:45Z 2023-10-05T05:06:45Z 2022-04-29 doi:10.17170/kobra-202309228799 http://hdl.handle.net/123456789/15097 Gefördert durch den Publikationsfonds der Universität Kassel eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ Selective laser melting Porosity Data-driven modeling Predictive models Build rate 600 660 Investigation of processing windows in additive manufacturing of AlSi10Mg for faster production utilizing data-driven modeling Aufsatz To reduce production time and decrease production cost, the increase of layer thickness is an adequate option in powder bed fusion. In order to determine the relationships between process parameters in laser powder bed fusion (PBF-LB/M) and final porosity in AlSi10Mg, samples were processed following a space-filling experimental design in the present study. A total of 144 samples were fabricated considering layer thicknesses of 30 µm, 45 µm, 60 µm, and 90 µm. Afterwards, porosity was assessed using image analysis and computed tomography. Different types of defects were found as expected, however, fully dense parts were realized in case of every considered layer thickness. Predictive models were developed using data-driven approaches, eventually enabling multivariate analysis of the correlations and determination of appropriate processing conditions resulting in both low porosity of parts and high build rates. open access Engelhardt, Anna Kahl, Matthias Richter, Julia Krooß, Philipp Kroll, Andreas Niendorf, Thomas doi:10.1016/j.addma.2022.102858 Laserschmelzen Porosität Fertigung publishedVersion eissn:2214-8604 Additive Manufacturing Volume 55 false 102858
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