2017
DOI: 10.3390/jmmp1020023
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Laser Powder Bed Fusion of Water-Atomized Iron-Based Powders: Process Optimization

Abstract: Abstract:The laser powder bed fusion (L-PBF) technology was adapted for use with non-spherical economical water-atomized iron powders. A simplified numerical and experimental modeling approach was applied to determine-in a first approximation-the operation window for the selected powder in terms of laser power, scanning speed, hatching space, and layer thickness. The operation window, delimited by a build rate ranging from 4 to 25 cm 3 /h, and a volumetric energy density ranging from 50 to 190 J/mm 3 , was sub… Show more

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Cited by 31 publications
(29 citation statements)
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“…First, calculations of the LPBF melt pool dimensions were carried out using the analytical model of a semi-infinite solid with a moving Gaussian heat source [19]. This model has been successfully used for the determination of the LPBF processing parameters for pure iron [18] and Ti-Zr-Nb alloy [20]. The Gaussian model involves a symmetrical distribution of laser irradiance across the beam.…”
Section: Melt Pool Calculationsmentioning
confidence: 99%
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“…First, calculations of the LPBF melt pool dimensions were carried out using the analytical model of a semi-infinite solid with a moving Gaussian heat source [19]. This model has been successfully used for the determination of the LPBF processing parameters for pure iron [18] and Ti-Zr-Nb alloy [20]. The Gaussian model involves a symmetrical distribution of laser irradiance across the beam.…”
Section: Melt Pool Calculationsmentioning
confidence: 99%
“…These FEM models take into account the optical penetration depth, the mass transfer-related phenomena, such as the Marangoni convection and the Rayleigh capillary flow, and the heat losses to the environment [11,29]. Secondly, the numerically predicted densities for pure iron and Ti-6Al-4V alloy powders are compared with their experimentally measured equivalents from [6] and [18]. The optimal processing windows for all these validation studies were obtained using the algorithm previously presented.…”
Section: Validation Strategy For the Proposed Processing Optimizationmentioning
confidence: 99%
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“…Due to the high thermal gradients generated by the SLM process high levels of residual stress within the asbuilt part are encountered and usually post-treatment operations are required to avoid parts distortion [5]. Considering that more than 50 factors influence the melting [6,7] many negative effects can cause internal or surface defects in the manufactured parts such as: delamination and cracks, curling, warping, pores, undesired surface roughness or dimensional inaccuracy.…”
Section: Introductionmentioning
confidence: 99%
“…Physical, mechanical, and chemical properties of powders, as well as the granulometry and morphology of particles, influence significantly on the formation of bonds between particles during perform compaction and further sintering. That affects the properties of the final product [7][8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%