Influence of ring-shaped beam profiles on spatter characteristics in laser-based powder bed fusion of metals
Source abstract
Abstract
Despite the maturity of laser-based powder bed fusion of metals (PBF-LB/M), some barriers prevent the manufacturing process from fully being established in the industry. One drawback is spatter formation, which is disadvantageous to PBF-LB/M for three main reasons. First, adhering spatter can initiate coater collision, resulting in process failure. Second, large adhering spatter may cause lack-of-fusion defects as they require more energy to remelt sufficiently compared to unprocessed powder. Furthermore, big nonadhering spatter cannot be recycled as powder. The recycling of small spatter particles potentially results in degraded material properties. Ring-shaped beam profiles have been established for deep penetration welding to reduce spatter formation. Investigations on ring-shaped beam profiles in PBF-LB/M focus on improving productivity and process robustness. Qualitative spatter reduction in PBF-LB/M using ring-shaped beam profiles has also been reported. This publication quantitatively examines the influence of ring-shaped beam profiles on spatter formation in PBF-LB/M. Image processing algorithms of on-axis high-speed images are utilized for spatter detection and tracking. A self-developed spatter segmentation is used to determine the spatter size. A Laplacian of Gaussian filter is combined with a Kalman tracker to count and track the spatter. The results show that spatter formation is highly influenced by the beam profile and the chosen process parameters. Considering the melt track width, ring-shaped beam profiles could reduce the number of spatter per fused area. High numbers of spatter are generated when parameter sets result in balling. Moreover, spatter velocity is primarily dependent on the introduced dimensionless enthalpy.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Additive Manufacturing Materials and Processes · Welding Techniques and Residual Stresses · Laser Material Processing Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Professorship of Laser-based Additive Manufacturing, TUM School of Engineering and Design, Technical University of Munich , Freisinger Landstr. 52, Garching 85748, Germany
References (43)
Show source-provided references
1. Lasers in additive manufacturing: A review10.1007/s40684-017-0037-7 ↗
2. Laser powder bed fusion additive manufacturing of metals; physics, computational, and materials challenges10.1063/1.4937809 ↗
3. Keyhole-induced porosities in laser-based powder bed fusion (L-PBF) of Ti6Al4V: High-fidelity modelling and experimental validation10.1016/j.addma.2019.100835 ↗
4. Single track formation in selective laser melting of metal powders10.1016/j.jmatprotec.2010.05.010 ↗
5. A review of spatter in laser powder bed fusion additive manufacturing: In situ detection, generation, effects, and countermeasures10.3390/mi13081366 ↗
6. Mechanisms and characteristics of spatter generation in SLM processing and its effect on the properties10.1016/j.matdes.2016.12.060 ↗
7. In-situ detection of redeposited spatter and its influence on the formation of internal flaws in laser powder bed fusion10.1016/j.addma.2021.102370 ↗
8. An investigation on the oxidation behavior of spatters generated during the laser powder bed fusion of 316L stainless steel10.1016/j.apsusc.2022.152796 ↗
9. Metal vapor micro-jet controls material redistribution in laser powder bed fusion additive manufacturing10.1038/s41598-017-04237-z ↗
10. Denudation of metal powder layers in laser powder bed fusion processes10.1016/j.actamat.2016.05.017 ↗
11. Laser powder-bed fusion additive manufacturing: Physics of complex melt flow and formation mechanisms of pores, spatter, and denudation zones10.1016/j.actamat.2016.02.014 ↗
12. Influence of part geometry on spatter formation in laser powder bed fusion of Inconel 718 alloy revealed by optical tomography10.1016/j.jmapro.2022.07.031 ↗
13. Experimental analysis of spatter generation and melt-pool behavior during the powder bed laser beam melting process10.1016/j.jmatprotec.2017.08.012 ↗
14. Influence of beam diameter on laser powder bed fusion (L-PBF) process10.1016/j.addma.2020.101532 ↗
15. A study on the effect of energy input on spatter particles creation during selective laser melting process10.1016/j.addma.2017.12.009 ↗
16. Uncertainties induced by processing parameter variation in selective laser melting of Ti6Al4V revealed by in-situ x-ray imaging10.3390/ma15020530 ↗
17. Spatter in laser welding10.2351/1.3597830 ↗
18. Influence of the shielding gas flow on the removal of process by-products in the selective laser melting process10.1016/j.addma.2016.01.004 ↗
19. Reduction of incandescent spatter with helium addition to the process gas during laser powder bed fusion of Ti-6Al-4V10.1016/j.cirpj.2021.07.004 ↗
20. Laser pre-sintering for denudation reduction in the laser powder bed fusion additive manufacturing of Ti-6Al-4V alloy10.1016/j.addma.2021.101985 ↗
21. Controlling interdependent meso-nanosecond dynamics and defect generation in metal 3D printing10.1126/science.aay7830 ↗
22. Metal powder bed fusion in high gravity10.1016/j.cirp.2021.03.008 ↗
23. High-gravitational effect on process stabilization for metal powder bed fusion10.1016/j.addma.2021.102153 ↗
24. Adjustable ring mode and single beam fiber lasers: A performance comparison10.1016/j.mfglet.2020.07.003 ↗
25. Influence of superimposed intensity distributions on weld seam quality and spatter behavior during laser beam welding of copper with green laser radiation10.2351/7.0000771 ↗
26. Spatter reduction by multi-beam illumination in laser powder-bed fusion10.1016/j.matdes.2021.110206 ↗
27. Nondiffractive beam shaping for enhanced optothermal control in metal additive manufacturing10.1126/sciadv.abg9358 ↗
28. Experimental approbation of selective laser melting of powders by the use of non-Gaussian power density distributions10.1016/j.phpro.2014.08.095 ↗
29. Influence of beam shape on spatter formation during PBF-LB/M of Ti6Al4V and tungsten powder10.1016/j.procir.2022.08.105 ↗
30. Effect of a variable laser beam profile system on productivity and surface quality of 316L stainless steel parts produced by laser powder bed fusion10.1016/j.cirp.2023.04.035 ↗
31. The influence of novel beam shapes on melt pool shape and mechanical properties of LPBF produced Al-alloy10.1016/j.jmapro.2022.12.007 ↗
32. 2021
33. A threshold selection method from gray-level histograms10.1109/TSMC.1979.4310076 ↗
34. Sputter tracking for the automatic monitoring of industrial laser-welding processes10.1109/TIE.2008.918637 ↗
35. Trackmate 7: Integrating state-of-the-art segmentation algorithms into tracking pipelines10.1038/s41592-022-01507-1 ↗
36. A simple methodology for predicting laser-weld properties from material and laser parameters10.1088/0022-3727/44/44/445401 ↗
37. Observation of keyhole-mode laser melting in laser powder-bed fusion additive manufacturing10.1016/j.jmatprotec.2014.06.005 ↗
38. 2002
39. Heat transfer modelling and stability analysis of selective laser melting10.1016/j.apsusc.2007.08.074 ↗
40. Mesoscopic simulation model of selective laser melting of stainless steel powder10.1016/j.jmatprotec.2014.06.001 ↗
41. Correlation between process parameters, microstructure and properties of 316 L stainless steel processed by selective laser melting10.1016/j.msea.2018.01.103 ↗
42. Investigation into the effect of process parameters on microstructural and physical properties of 316L stainless steel parts by selective laser melting10.1007/s00170-014-6297-2 ↗
43. Laser beam shape optimization in powder bed fusion of metals10.1016/j.addma.2023.103609 ↗