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Revealing formation mechanism of end of process depression in laser powder bed fusion by multi-physics meso-scale simulation.

Authors :
Haodong Chen
Xin Lin
Yajing Sun
Shuhao Wang
Kunpeng Zhu
Binbin Dan
Source :
Virtual & Physical Prototyping; 2024, Vol. 19 Issue 1, p1-15, 15p
Publication Year :
2024

Abstract

Unintended end-of-process depression (EOPD) commonly occurs in laser powder bed fusion (LPBF), leading to poor surface quality and lower fatigue strength, especially for many implants. In this study, a high-fidelity multi-physics meso-scale simulation model is developed to uncover the forming mechanism of this defect. A defect-process map of the EOPD phenomenon is obtained using this simulation model. It is found that the EOPD formation mechanisms are different under distinct regions of process parameters. At low scanning speeds in keyhole mode, the long-lasting recoil pressure and the large temperature gradient easily induce EOPD. While at high scanning speeds in keyhole mode, the shallow molten pool morphology and the large solidification rate allow the keyhole to evolve into an EOPD quickly. Nevertheless, in the conduction mode, the Marangoni effects along with a faster solidification rate induce EOPD. Finally, a 'step' variable power strategy is proposed to optimise the EOPD defects for the case with high volumetric energy density at low scanning speeds. This work provides a profound understanding and valuable insights into the quality control of LPBF fabrication. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17452759
Volume :
19
Issue :
1
Database :
Complementary Index
Journal :
Virtual & Physical Prototyping
Publication Type :
Academic Journal
Accession number :
176168391
Full Text :
https://doi.org/10.1080/17452759.2024.2326599