Design and experimental validation of self-supporting topologies for additive manufacturing

被引:54
作者
Fu, Yun-Fei [1 ]
Rolfe, Bernard [1 ]
Chiu, Louis N. S. [2 ]
Wang, Yanan [1 ]
Huang, Xiaodong [3 ]
Ghabraie, Kazem [1 ]
机构
[1] Deakin Univ, Sch Engn, Waurn Ponds, Vic 3217, Australia
[2] Monash Univ, Dept Mat Sci & Engn, Clayton, Vic, Australia
[3] Swinburne Univ Technol, Fac Sci Engn & Technol, Hawthorn, Vic, Australia
关键词
Topology optimisation; elemental volume fractions; level-set function; smooth boundary representation; additive manufacturing; self-supporting design; CONTINUUM STRUCTURES; OVERHANG CONSTRAINT; STRUCTURAL OPTIMIZATION; LENGTH SCALE; FILTERS; SHAPE;
D O I
10.1080/17452759.2019.1637023
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Incorporating additive manufacturing (AM) constraints in topology optimisation can lead to performance optimality while ensuring manufacturability of designs. Numerical techniques have been previously proposed to obtain support-free designs in AM, however, few works have verified the manufacturability of their solutions. Physical verification of manufacturability becomes more critical recalling that the conventional density-based topology optimisation methods will inevitably require post-processing to smooth the boundaries before sending the results to a 3D printer. This paper presents the smooth design of self-supporting topologies using the combination of a new Solid Isotropic Microstructure with Penalisation method (SIMP) developed based on elemental volume fractions and an existing AM filter. Manufacturability of selected simulation results are verified with Fused Deposition Modeling (FDM) technology. It is illustrated that the proposed method is able to generate convergent self-supporting topologies which are printable using FDM.
引用
收藏
页码:382 / 394
页数:13
相关论文
共 59 条
  • [1] Structural optimization under overhang constraints imposed by additive manufacturing technologies
    Allaire, G.
    Dapogny, C.
    Estevez, R.
    Faure, A.
    Michailidis, G.
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2017, 351 : 295 - 328
  • [2] Allaire G, 2017, J COMPUT PHYS, V2, P385, DOI DOI 10.21042/AMNS.2017.2.00031
  • [3] Allaire G., 2017, 12 WORLD C STRUCT MU, P1
  • [4] Shape optimization of a layer by layer mechanical constraint for additive manufacturing
    Allaire, Gregoire
    Dapogny, Charles
    Faure, Alexis
    Michailidis, Georgios
    [J]. COMPTES RENDUS MATHEMATIQUE, 2017, 355 (06) : 699 - 717
  • [5] [Anonymous], 2014, AIAA AV 2014 15 AIAA
  • [6] Bendsoe M. P., 2004, Topology optimization: theory, methods, and applications
  • [7] Additive manufacturing methods and modelling approaches: a critical review
    Bikas, H.
    Stavropoulos, P.
    Chryssolouris, G.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 83 (1-4) : 389 - 405
  • [8] Filters in topology optimization
    Bourdin, B
    [J]. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2001, 50 (09) : 2143 - 2158
  • [9] Topology optimization of non-linear elastic structures and compliant mechanisms
    Bruns, TE
    Tortorelli, DA
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2001, 190 (26-27) : 3443 - 3459
  • [10] Shape Optimization for Additive Manufacturing of Removable Partial Dentures - A New Paradigm for Prosthetic CAD/CAM
    Chen, Junning
    Ahmad, Rohana
    Suenaga, Hanako
    Li, Wei
    Sasaki, Keiichi
    Swain, Michael
    Li, Qing
    [J]. PLOS ONE, 2015, 10 (07):