Discrete element simulations of powder-bed sintering-based additive manufacturing

被引:35
|
作者
Xin, Haohui [1 ,2 ]
Sun, WaiChing [2 ]
Fish, Jacob [2 ]
机构
[1] Tongji Univ, Dept Bridge Engn, Shanghai, Peoples R China
[2] Columbia Univ, Dept Civil Engn & Engn Mech, New York, NY 10027 USA
基金
美国国家科学基金会;
关键词
Additive manufacturing; Discrete element method; Process simulation; Sintering; Multiphysics; THERMAL-CONDUCTIVITY; NETWORK MODEL; LASER; DENSIFICATION; DEFORMATION; MECHANISM; EVOLUTION; STRESS;
D O I
10.1016/j.ijmecsci.2017.11.028
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Additive manufacturing (AM) is the processing of jointing raw materials to make objects, usually in a layer-by-layer fashion, from 3D data. It has become a promising tool for a wide range of applications in recent decades. Nevertheless, qualification and certification remains the major challenge for the AM. One possible approach to address this challenge is using computer simulations as an examination and prediction tools. In this work, we present a prototype discrete element model aimed to replicate one of the most common AM process, the powder-bed sintering. This DEM model is designed to incorporate heat conduction, phase transformation and inter-particle sintering that mimics the powder-bed sintering-based AM process. The DEM-based thermal conductance and bond neck growth models were verified against a closed form analytical solution and the Coblenz model, respectively. Numerical simulations are provided to examine the mechanical properties of the printed objects. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:373 / 392
页数:20
相关论文
共 50 条
  • [1] On the measurement of relative powder-bed compaction density in powder-bed additive manufacturing processes
    Ali, Usman
    Mahmoodkhani, Yahya
    Shahabad, Shahriar Imani
    Esmaeilizadeh, Reza
    Liravi, Farzad
    Sheydaeian, Esmat
    Huang, Ke Yin
    Marzbanrad, Ehsan
    Vlasea, Mihaela
    Toyserkani, Ehsan
    MATERIALS & DESIGN, 2018, 155 : 495 - 501
  • [2] Discrete Element Simulation of the Effect of Roller-Spreading Parameters on Powder-Bed Density in Additive Manufacturing
    Zhang, Jiangtao
    Tan, Yuanqiang
    Bao, Tao
    Xu, Yangli
    Xiao, Xiangwu
    Jiang, Shengqiang
    MATERIALS, 2020, 13 (10)
  • [3] Computer simulation of microstructure development in powder-bed additive manufacturing with crystallographic texture
    Pauza, J. G.
    Tayon, W. A.
    Rollett, A. D.
    MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING, 2021, 29 (05)
  • [4] Characteristics of Inconel Powders for Powder-Bed Additive Manufacturing
    Quy Bau Nguyen
    Nai, Mui Ling Sharon
    Zhu, Zhiguang
    Sun, Chen-Nan
    Wei, Jun
    Zhou, Wei
    ENGINEERING, 2017, 3 (05) : 695 - 700
  • [5] Topology optimization based channel design for powder-bed additive manufacturing
    Wang, Weiming
    Xia, Yi
    ADDITIVE MANUFACTURING, 2022, 54
  • [6] Powder-bed additive manufacturing: the effect of layer thickness on powder bed density
    Miao, Guanxiong
    Du, Wenchao
    Li, Ming
    Pei, Zhijian
    Ma, Chao
    MANUFACTURING LETTERS, 2024, 41 : 890 - 894
  • [7] VISION-BASED INSPECTION SYSTEM FOR DIMENSIONAL ACCURACY IN POWDER-BED ADDITIVE MANUFACTURING
    Aminzadeh, Masoumeh
    Kurfess, Thomas
    PROCEEDINGS OF THE ASME 11TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, 2016, VOL 2, 2016,
  • [8] Quality and productivity trade-off in powder-bed additive manufacturing
    Kose, Huseyin
    Jin, Mingzhou
    Peng, Tao
    PROGRESS IN ADDITIVE MANUFACTURING, 2020, 5 (02) : 199 - 210
  • [9] Review on powder-bed laser additive manufacturing of Inconel 718 parts
    Wang, Xiaoqing
    Gong, Xibing
    Chou, Kevin
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2017, 231 (11) : 1890 - 1903
  • [10] Comparison of roller-spreading and blade-spreading processes in powder-bed additive manufacturing by DEM simulations
    Zhang, Jiangtao
    Tan, Yuanqiang
    Xiao, Xiangwu
    Jiang, Shengqiang
    PARTICUOLOGY, 2022, 66 : 48 - 58