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The surface morphology of intra-layer printing process plays a crucial role in powder bed fusion. It not only determines the quality of the top surface but also provides insights into the formation evolution during the building process. However, the formation mechanisms behind diverse surface morphologies and their correlation with build quality are still not well understood. This paper presents a high-fidelity model of electron beam powder bed fusion to depict the intra-layer printing process. Four typical surface morphologies, namely porous surface, even surface, swelling surface, and labyrinth like surface, were reproduced at the powder-scale and studied in terms of heat and mass and transfer. Three formation mechanisms involving track interaction were identified, including morphology coalescence, pre-heating and re-melting, and the lateral extension of melt pool. It reveals that the morphology coalescence effect could bias the current track towards the previous track, resulting in texture along the hatch direction. The pre-heating effect, caused by heat accumulation, improves the formation quality by promoting adequate development of the melt pool. Additionally, the re-melting effect could further enhance the formation quality, except in contour tracks. Particularly, when a laterally extended melt pool spanning several adjacent tracks occurs, it could produce unique surface morphologies due to the lateral convection or potential central break-up. Finally, the top surface morphologies of intra-layer printing were correlated with the internal build quality using an efficient model with inter-layer printing, where the even or slightly swelling surfaces were found to correspond to a good build quality. This could enhance the understanding of build mechanisms and contribute to the improvement of metal additive manufacturing processes. © 2023 Elsevier B.V.
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Additive Manufacturing
ISSN: 2214-8604
Year: 2023
Volume: 72
1 0 . 3
JCR@2023
1 0 . 3 0 0
JCR@2023
ESI HC Threshold:35
JCR Journal Grade:1
CAS Journal Grade:2
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 1
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