Finite element–based numerical modeling framework for additive manufacturing process

被引:24
|
作者
Hajializadeh F. [1 ]
Ince A. [1 ]
机构
[1] Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC
来源
关键词
additive manufacturing; finite element analysis; mesh coarsening;
D O I
10.1002/mdp2.28
中图分类号
学科分类号
摘要
Additive manufacturing (AM) process has extensively been used to fabricate metal parts for large variety of applications. Residual stresses are inevitable in the AM process since material experiences heating and cooling cycles. Implementing finite element (FE) analysis tool to predict residual stress distributions could be of great importance in many applications. Developing an FE-based modeling framework to accurately simulate residual stresses in a reasonably reduced computational time is highly needed. The FE-based modeling approach presented here to simulate direct metal deposition (DMD) of AISI 304 L aims to significantly reduce computation cost by implementing an adaptive mesh coarsening algorithm integrated with the FE method. Simulations were performed by the proposed approach, and the results were found in good agreement with conventional fine mesh configuration. The proposed modeling framework offers a potential solution to substantially reduce the computational time for simulating the AM process. © 2019 John Wiley & Sons, Ltd.
引用
收藏
相关论文
共 50 条
  • [21] Correction to: A discrete element framework for the numerical analysis of particle bed-based additive manufacturing processes
    Bram J. A. Dorussen
    Marc G. D. Geers
    Joris J. C. Remmers
    Engineering with Computers, 2022, 38 : 4769 - 4769
  • [22] An integrated process-structure-property modeling framework for additive manufacturing
    Yan, Wentao
    Lian, Yanping
    Yu, Cheng
    Kafka, Orion L.
    Liu, Zeliang
    Liu, Wing Kam
    Wagner, Gregory J.
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2018, 339 : 184 - 204
  • [23] Finite element modeling of deposition of ceramic material during SLM additive manufacturing
    Chen, Qiang
    Guillemot, Gildas
    Gandin, Charles-Andre
    Bellet, Michel
    NUMIFORM 2016: THE 12TH INTERNATIONAL CONFERENCE ON NUMERICAL METHODS IN INDUSTRIAL FORMING PROCESSES, 2016, 80
  • [24] Finite element analysis-enabled optimization of process parameters in additive manufacturing
    Wang, Jingyi
    Papadopoulos, Panayiotis
    FINITE ELEMENTS IN ANALYSIS AND DESIGN, 2025, 244
  • [25] Deep Learning-based Super-Resolution for the Finite Element Analysis of Additive Manufacturing Process
    Zhang, Yi
    Freeman, Elton
    PROCEEDINGS OF ASME 2022 17TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, MSEC2022, VOL 1, 2022,
  • [26] NUMERICAL MODELING OF METAL-BASED ADDITIVE MANUFACTURING PROCESS USING LEVEL SET METHODS
    Ye, Qian
    Chen, Shikui
    PROCEEDINGS OF THE ASME 12TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE - 2017, VOL 1, 2017,
  • [27] Modeling of Additive Manufacturing Process Relevant Feature in Layer Based Manufacturing Process Planning
    刘溪涓
    JournalofShanghaiJiaotongUniversity(Science), 2012, 17 (02) : 241 - 244
  • [28] Modeling of additive manufacturing process relevant feature in layer based manufacturing process planning
    Liu X.-J.
    Journal of Shanghai Jiaotong University (Science), 2012, 17 (2) : 241 - 244
  • [29] A Framework for Modeling and Control for Extrusion-based Additive Manufacturing
    Farjam, Nazanin
    Adeshara, Trushant
    Tilbury, Dawn
    Barton, Kira
    IFAC PAPERSONLINE, 2024, 58 (28): : 138 - 143
  • [30] A Numerical Modeling of Dynamic Curing Process of Tire by Finite Element
    Xiangqiao Yan
    Polymer Journal, 2007, 39 : 1001 - 1010