研究目的
Effectively controlling pore defects in the laser powder bed fusion (LPBF) industrial production.
研究成果
The molten pool evolution during the LPBF process was mainly affected by the gasification recoil force, Marangoni effect, and surface tension. When the volumetric energy density was too small, pore defects occurred due to insufficient fusion of metal particles, and when the volumetric energy density was too large to cause the “keyhole” effect, pore defects occurred because the entrained gas could not escape in time. This paper provides theoretical guidance for the scientific regulation of pore defects in LPBF production.
研究不足
The study assumes the flow behaviors of the liquid metal and gas as laminar flows of incompressible, Newtonian fluids, ignores the mass loss caused by vaporization of the molten metal, and neglects the influence of the density change on the volume.
1:Experimental Design and Method Selection:
The study used the open-source discrete element method code Yade to obtain the particle distribution of the powder bed and the open-source computational fluid dynamics code OpenFOAM to predict the pore evolution during the LPBF formation process at the mesoscopic scale. The thermal–force factors affecting the molten pool included the surface tension, Marangoni effect, gasification recoil force, and mushy drag force. The laser energy model used a body heat source based on interface tracking.
2:Sample Selection and Data Sources:
The particle size distribution was Gaussian, and the spreading distribution was calculated using the open-source DEM code Yade. The particle center and radius data were then imported into 3D modeling software to obtain the geometric model.
3:List of Experimental Equipment and Materials:
The powder material used was 316L stainless steel. The laser processing parameters included laser spot diameter, scanning speed, laser power, and absorption coefficient.
4:Experimental Procedures and Operational Workflow:
The calculation time step was set to 1 × 10?8 s. The molten pool evolution and influences of various process parameters on the pore defect were analyzed.
5:Data Analysis Methods:
The molten pool evolution was analyzed through dimensionless numbers such as Peclet number, Marangoni number, Froude number, and Weber number.
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