Experimental characterization and computational simulation of powder bed for powder bed fusion additive manufacturing

被引:0
|
作者
Kikuchi K. [1 ,2 ]
Tanifuji Y. [1 ]
Zhou W. [1 ]
Nomura N. [1 ]
Kawasaki A. [1 ]
机构
[1] Department of Materials Processing, Graduate School of Engineering, Tohoku University, 6-6-02 Aramaki-Aza-Aoba Aoba-ku, Sendai
[2] Powder Analysis, Hanazono Tokorozawa
来源
Funtai Oyobi Fummatsu Yakin/Journal of the Japan Society of Powder and Powder Metallurgy | 2021年 / 68卷 / 10期
关键词
Additive manufacturing; Discrete element method; Packing density; Powder bed;
D O I
10.2497/jjspm.68.457
中图分类号
学科分类号
摘要
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. © 2021 Japan Society of Powder and Powder Metallurgy
引用
收藏
页码:457 / 463
页数:6
相关论文
共 50 条
  • [1] Experimental Characterization and Computational Simulation of Powder Bed for Powder Bed Fusion Additive Manufacturing
    Kikuchi, Keiko
    Tanifuji, Yuta
    Zhou, Weiwei
    Nomura, Naoyuki
    Kawasaki, Akira
    MATERIALS TRANSACTIONS, 2022, 63 (06) : 931 - 938
  • [2] Dynamic simulation of powder packing structure for powder bed additive manufacturing
    Lee, Y. S.
    Nandwana, P.
    Zhang, W.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 96 (1-4) : 1507 - 1520
  • [3] Dynamic simulation of powder packing structure for powder bed additive manufacturing
    Y. S. Lee
    P. Nandwana
    W. Zhang
    The International Journal of Advanced Manufacturing Technology, 2018, 96 : 1507 - 1520
  • [4] Simulation of Forming Process of Powder Bed for Additive Manufacturing
    Xiang, Zhaowei
    Yin, Ming
    Deng, Zhenbo
    Mei, Xiaoqin
    Yin, Guofu
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2016, 138 (08):
  • [5] Simulation and analysis of powder bed for additive manufacturing
    Xiang Z.
    Yin M.
    Deng Z.
    Mei X.
    Yin G.
    Yin, Ming (mingyin@scu.edu.cn), 1600, Sichuan University (48): : 191 - 197
  • [6] Measurement of powder bed density in powder bed fusion additive manufacturing processes
    Jacob, G.
    Donmez, A.
    Slotwinski, J.
    Moylan, S.
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2016, 27 (11)
  • [7] A review of powder deposition in additive manufacturing by powder bed fusion
    Avrampos, Panagiotis
    Vosniakos, George-Christopher
    JOURNAL OF MANUFACTURING PROCESSES, 2022, 74 : 332 - 352
  • [8] Characterization of Composite Powder Feedstock from Powder Bed Fusion Additive Manufacturing Perspective
    Fereiduni, Eskandar
    Ghasemi, Ali
    Elbestawi, Mohamed
    MATERIALS, 2019, 12 (22)
  • [9] Additive Manufacturing Process Simulation of Laser Powder Bed Fusion and Benchmarks
    Ghabbour, Mina S.
    Qu, Xueyong
    Rome, Jacob I.
    SAMPE JOURNAL, 2024, 60 (04) : 26 - 31
  • [10] Comparative evaluation of powder spreading strategies to enhance powder bed quality in powder bed fusion additive manufacturing: A DEM simulation study
    Yim, Seungkyun
    Wang, Hao
    Aoyagi, Kenta
    Yamanaka, Kenta
    Chiba, Akihiko
    POWDER TECHNOLOGY, 2025, 453