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Mesoscale Simulation of Laser Powder Bed Fusion with an Increased Layer Thickness for AlSi10Mg Alloy.
- Source :
- Journal of Manufacturing & Materials Processing; Feb2024, Vol. 8 Issue 1, p7, 21p
- Publication Year :
- 2024
-
Abstract
- Low performance is considered one of the main drawbacks of laser powder bed fusion (LPBF) technology. In the present work, the effect of the AlSi10Mg powder layer thickness on the laser melting process was investigated to improve the LPBF building rate. A high-fidelity simulation of the melt pool formation was performed for different thicknesses of the powder bed using the Kintech Simulation Software for Additive Manufacturing (KiSSAM, version cd8e01d) developed by the authors. The powder bed after the recoating operation was obtained by the discrete element method. The laser energy deposition on the powder particles and the substrate was simulated by ray tracing. For the validation of the model, an experimental analysis of single tracks was performed on two types of substrates. The first substrate was manufactured directly with LPBF technology, while the second was cast. The simulation was carried out for various combinations of process parameters, predominantly with a high energy input, which provided a sufficient remelting depth. The calculations revealed the unstable keyhole mode appearance associated with the low absorptivity of the aluminum alloy at a scanning speed of 300 mm/s for all levels of the laser power (325–375 W). The results allowed formulating the criteria for the lack of fusion emerging during LPBF with an increased layer thickness. This work is expected to provide a scientific basis for the analysis of the maximum layer thickness via simulation to increase the performance of the technology. [ABSTRACT FROM AUTHOR]
- Subjects :
- DISCRETE element method
ALUMINUM alloys
LASERS
RAY tracing
LASER deposition
Subjects
Details
- Language :
- English
- ISSN :
- 25044494
- Volume :
- 8
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Manufacturing & Materials Processing
- Publication Type :
- Academic Journal
- Accession number :
- 175669376
- Full Text :
- https://doi.org/10.3390/jmmp8010007