A DEM study of powder spreading in additive layer manufacturing

被引:0
|
作者
Yahia M. Fouda
Andrew E. Bayly
机构
[1] University of Leeds,School of Chemical and Process Engineering
[2] Mansoura University,Department of Mechanical Power Engineering, Faculty of Engineering
来源
Granular Matter | 2020年 / 22卷
关键词
Additive manufacturing (AM); Powder spreading; Discrete element method (DEM); Dilation; Metal powders; Powder bed fusion;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, discrete element method simulations were used to study the spreading of an idealised, blade based, powder coating system representative of the spreading of spherical, mono-sized, non-cohesive titanium alloy (Ti6AlV4) particles in additive layer manufacturing applications. A vertical spreader blade was used to accelerate a powder heap across a horizontal surface, with a thin gap between the blade and the surface, resulting in the deposition of a thin powder layer. The results showed that it is inevitable to deposit a powder layer with a lower packing fraction than the initial powder heap due to three mechanisms: shear-induced dilation during the initiation of powder motion by the spreader; dilation and rearrangement due to powder motion through the gap; and the inertia of the particles in the deposited powder layer. It was shown that the process conditions control the contribution of these three mechanisms, and that the velocity profile in the shear layer in front of the gap is critical to the final deposited layer packing fraction. The higher the mean normalised velocity in the shear layer the lower the deposited layer packing fraction. The gap thickness and the spreader blade velocity affect the properties of the deposited layer; with the former increasing its packing fraction and the latter decreasing it. The analysis presented in this study could be adapted to powders of different materials, morphologies and surface properties.
引用
收藏
相关论文
共 50 条
  • [21] The influence of material and process parameters on powder spreading in additive manufacturing
    Shaheen, Mohamad Yousef
    Thornton, Anthony R.
    Luding, Stefan
    Weinhart, Thomas
    POWDER TECHNOLOGY, 2021, 383 : 564 - 583
  • [22] Experimental approach for development of a powder spreading metric in additive manufacturing
    M. Hossein Sehhat
    Austin T. Sutton
    Zane Yates
    Ming C. Leu
    The International Journal of Advanced Manufacturing Technology, 2023, 126 : 371 - 380
  • [23] Numerical simulation of powder flow during spreading in additive manufacturing
    Nan, Wenguang
    Ghadiri, Mojtaba
    POWDER TECHNOLOGY, 2019, 342 : 801 - 807
  • [24] Numerical and experimental analysis of powder bed homogeneity through multi-layer spreading in additive manufacturing
    Jaggannagari, Sujith Reddy
    Kan, Wen Hao
    Chiu, Louis N. S.
    Proust, Gwenaelle
    Huang, Aijun
    Gan, Yixiang
    Annabattula, Ratna Kumar
    ADDITIVE MANUFACTURING, 2025, 97
  • [25] Mechanized spreading of ceramic powder layers for additive manufacturing characterized by transmission x-ray imaging: Influence of powder feedstock and spreading parameters on powder layer density
    Oropeza, Daniel
    Penny, Ryan W.
    Gilbert, Daniel
    Hart, A. John
    POWDER TECHNOLOGY, 2022, 398
  • [26] Role of gravity magnitude on flowability and powder spreading in the powder bed fusion additive manufacturing process: Towards additive manufacturing in space
    Yim, Seungkyun
    Wang, Hao
    Aoyagi, Kenta
    Yamanaka, Kenta
    Chiba, Akihiko
    ADDITIVE MANUFACTURING, 2024, 94
  • [27] Powder spreading and spreadability in powder-based additive manufacturing: State of the art and perspectives
    Nan, Wenguang
    Ge, Lanzhou
    He, Ziming
    Sun, Zhonggang
    Lu, Jinzhong
    POWDER TECHNOLOGY, 2025, 449
  • [28] Simulation of powder spreading of functionally graded materials in powder bed fusion additive manufacturing
    Wang, Lin
    Li, Erlei
    Zhou, Zongyan
    Zhang, Baicheng
    Yu, Aibing
    ACTA MECHANICA SINICA, 2023, 39 (01)
  • [29] Powder layer deposition algorithm for additive manufacturing simulations
    Markl, Matthias
    Koerner, Carolin
    POWDER TECHNOLOGY, 2018, 330 : 125 - 136
  • [30] Linking particle properties to layer characteristics: Discrete element modelling of cohesive fine powder spreading in additive manufacturing
    He, Yi
    Hassanpour, Ali
    Bayly, Andrew E.
    ADDITIVE MANUFACTURING, 2020, 36