Experimental Characterization and Computational Simulation of Powder Bed for Powder Bed Fusion Additive Manufacturing

Keiko Kikuchi, Yuta Tanifuji, Weiwei Zhou, Naoyuki Nomura, Akira Kawasaki

Research output: Contribution to journalArticlepeer-review

Abstract

The packing density of powder bed is one of the critical parameters affecting the quality of the final parts fabricated via powder bed fusion additive manufacturing. In this study the packing density of the first layer of the powder bed was experimentally estimated from the packing densities of recoated powder with different number of layers. It is found that the packing density of the first layer is much lower than the apparent density of powder and the macro-scale packing density increases as the number of recoated layer increases. Furthermore, recoating simulation using discrete element method (DEM) was conducted to investigate the deposition mechanism of the powder at the particulate-scale. The simulation results showed the packing density of powder bed increases as the number of recoated layer increases, similar to the experimental results. This is caused by the rearrangement of the powder in the powder bed stimulated by the supplied powder. Also, the packing density of the powder bed was not uniform in the thickness direction, and the top surface layer which affects the quality of manufactured parts had almost the same packing density as that of the first recoated layer independently of the number of recoated layers.

Original languageEnglish
Pages (from-to)931-938
Number of pages8
JournalMaterials Transactions
Volume63
Issue number6
DOIs
Publication statusPublished - 2022

Keywords

  • additive manufacturing
  • discrete-element method
  • packing density
  • powder bed

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

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