APPLIED LASER, Volume. 44, Issue 2, 1(2024)

Investigation of the Flow Field optimization and spatter Removal in an selective Laser Melting Build chamber

Shang xiaobiao1,2、*, Li Jiajian1, Li zhenhua3, xiao Renyou1, and zhang zhihao1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    To enhance the Quality of selective laser melting (SLM) parts by reducing spatter residue,a computational fluid dy- namics (cFD) model and fluid flow particle tracking model of the EOS M290 SLM eQuipment build chamber were developed.The study investigates the impact of various parameters such as inlet velocities,inlet hole diameters,inlet hole stretching lengths,and outlet grid numbers on flow field distribution and spatter particle removal within the build chamber.The findings reveal that when the diameter of 316L stainless steel spatter particles is in the range of 10-100 μm with four normal distribu- tions,the removal probability of the original model is only 69.25% when the inlet velocity is 3 m/s .The uniformity of the flow field in the build chamber can be improved and the coanda effect can be reduced by lengthening the inlet hole.The removal probability increases to74.64% when the inlet velocity is 3 m/s and the stretch length of the inlet hole is 90mm.When the in- let velocity is 3 m/s and the number of outlet grids increased from 5 to9, the uniformity indeX of outlet center plane increased from 64.42% to 78.57% .When the powder bed is not destroyed,the maXimum inlet velocity of the optimization model estab- lished by the inlet diameter of 4 mm,the inlet stretch length of 90mm,the number of outlet grids 8 is 4.46m/s,and the spat- ter removal probability is increased to 82.11% .

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    Shang xiaobiao, Li Jiajian, Li zhenhua, xiao Renyou, zhang zhihao. Investigation of the Flow Field optimization and spatter Removal in an selective Laser Melting Build chamber[J]. APPLIED LASER, 2024, 44(2): 1

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    Paper Information

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    Received: Sep. 15, 2022

    Accepted: --

    Published Online: Aug. 16, 2024

    The Author Email: xiaobiao Shang (shang21st@163.com)

    DOI:10.14128/j.cnki.al.20244402.001

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