Multi-physics continuum modelling approaches for metal powder additive manufacturing: a review

被引:18
|
作者
Srivastava, Shekhar [1 ]
Garg, Rajiv Kumar [1 ]
Sharma, Vishal S. [2 ]
Alba-Baena, Noe Gaudencio [3 ]
Sachdeva, Anish [1 ]
Chand, Ramesh [1 ]
Singh, Sehijpal [4 ]
机构
[1] Dr BR Ambedkar Natl Inst Technol, Dept Ind & Prod Engn, Jalandhar, Punjab, India
[2] Univ Witwatersrand, Sch Mech Ind & Aeronaut Engn, Johannesburg, South Africa
[3] Univ Autonoma Ciudad Juarez, Dept Ind Engn & Mfg, Juarez, Mexico
[4] Guru Nanak Dev Engn Coll, Dept Mech Engn, Ludhiana, Punjab, India
关键词
Additive manufacturing; FEM; Residual stress; Numerical modelling; Metal additive manufacturing; PBF; Rapid manufacturing; Computational model; Numerical simulation; Distortion; DEM; Powders; FINITE-ELEMENT-ANALYSIS; PLASTIC STRAIN METHODS; STAINLESS-STEEL; 316L; PHASE-FIELD MODEL; RESIDUAL-STRESS; BED FUSION; MECHANICAL-PROPERTIES; HEAT-TRANSFER; NUMERICAL-SIMULATION; COMPUTER-SIMULATION;
D O I
10.1108/RPJ-07-2019-0189
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Purpose This paper aims to present a systematic approach in the literature survey related to metal additive manufacturing (AM) processes and its multi-physics continuum modelling approach for its better understanding. Design/methodology/approach A systematic review of the literature available in the area of continuum modelling practices adopted for the powder bed fusion (PBF) AM processes for the deposition of powder layer over the substrate along with quantification of residual stress and distortion. Discrete element method (DEM) and finite element method (FEM) approaches have been reviewed for the deposition of powder layer and thermo-mechanical modelling, respectively. Further, thermo-mechanical modelling adopted for the PBF AM process have been discussed in detail with its constituents. Finally, on the basis of prediction through thermo-mechanical models and experimental validation, distortion mitigation/minimisation techniques applied in PBF AM processes have been reviewed to provide a future direction in the field. Findings The findings of this paper are the future directions for the implementation and modification of the continuum modelling approaches applied to PBF AM processes. On the basis of the extensive review in the domain, gaps are recommended for future work for the betterment of modelling approach. Originality/value This paper presents an extensive review of the FEM approach adopted for the prediction of residual stress and distortion in the PBF AM processes which sets the platform for the development of distortion mitigation techniques. An extensive review of distortion mitigation techniques has been presented in the last section of the paper, which has not been reviewed yet.
引用
收藏
页码:737 / 764
页数:28
相关论文
共 50 条
  • [31] Multi-physics and multi-scale modelling of materials processing
    Nieminen, RM
    APPLIED PARALLEL COMPUTING: ADVANCED SCIENTIFIC COMPUTING, 2002, 2367 : 55 - 60
  • [32] Multi-physics and multi-scale modelling of materials processing
    Nieminen, RM
    APPLIED PARALLEL COMPUTING: ADVANCED SCIENTIFIC COMPUTING, 2002, 2367 : 55 - 60
  • [33] UNCERTAINTY QUANTIFICATION IN METALLIC ADDITIVE MANUFACTURING THROUGH DATA-DRIVEN MODELLING BASED ON MULTI-SCALE MULTI-PHYSICS MODELS AND LIMITED EXPERIMENT DATA
    Wang, Zhuo
    Jiang, Chen
    Horstemeyer, Mark F.
    Hu, Zhen
    Chen, Lei
    PROCEEDINGS OF THE ASME 2020 15TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE (MSEC2020), VOL 1A, 2020,
  • [34] Multi-physics modeling of the 2022 NIST additive manufacturing benchmark (AM-Bench) test series
    Zhu, Qiming
    Zhao, Ze
    Yan, Jinhui
    COMPUTATIONAL MECHANICS, 2025, 75 (02) : 775 - 792
  • [35] Metal powder atomization preparation, modification, and reuse for additive manufacturing: A review
    Ren, Pengyuan
    Ouyang, Yu
    Mu, Jierui
    Luo, Sheng
    Tang, Zijue
    Wu, Yi
    Leung, Chu Lun Alex
    Oliveira, J. P.
    Zou, Yu
    Wang, Haowei
    Wang, Hongze
    PROGRESS IN MATERIALS SCIENCE, 2025, 152
  • [36] Multi-physics modeling of grain growth during solidification in electron beam additive manufacturing of Inconel 718
    Kamat, Shardul
    Li, Xuxiao
    Stump, Benjamin
    Plotkowski, Alex
    Tan, Wenda
    MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING, 2023, 31 (01)
  • [37] Metal powder for AM (additive manufacturing) and manufacturing processes
    Nakadate H.
    Takeda Y.
    Funtai Oyobi Fummatsu Yakin/Journal of the Japan Society of Powder and Powder Metallurgy, 2019, 66 (11): : 539 - 546
  • [38] Multi-physics couplings in metal forming processes
    Bay, F.
    Chenot, J. L.
    Innovation in Engineering Computational Technology, 2006, : 325 - 345
  • [39] A Review of Computational Approaches to the Microstructure-Informed Mechanical Modelling of Metals Produced by Powder Bed Fusion Additive Manufacturing
    Zinovieva, Olga
    Romanova, Varvara
    Dymnich, Ekaterina
    Zinoviev, Aleksandr
    Balokhonov, Ruslan
    Zhao, Xiaohui
    Chen, Chao
    MATERIALS, 2023, 16 (19)
  • [40] Component-based modelling of multi-physics systems
    Smirnov A.
    Burt A.
    Zhang H.
    Celik I.
    International Journal of Modelling and Simulation, 2010, 30 (04): : 409 - 415