Search for the Optimal Build Direction in Additive Manufacturing Technologies: A Review

被引:58
作者
Di Angelo, Luca [1 ]
Di Stefano, Paolo [1 ]
Guardiani, Emanuele [1 ]
机构
[1] Univ Aquila, Dept Ind & Informat, Engn & Econ, Piazzale E Pontieri, I-67100 Laquila, Italy
来源
JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING | 2020年 / 4卷 / 03期
关键词
build orientation factors; cost analysis; multi objective optimization; part build orientation; PART DEPOSITION ORIENTATION; MULTIOBJECTIVE OPTIMIZATION; SURFACE QUALITY; VOLUMETRIC ERROR; BIN PACKING; SUPPORT; PREDICTION; ALGORITHM; ROUGHNESS; SELECTION;
D O I
10.3390/jmmp4030071
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
By additive manufacturing technologies, an object is produced deposing material layer by layer. The piece grows along the build direction, which is one of the main manufacturing parameters of Additive Manufacturing (AM) technologies to be set-up. This process parameter affects the cost, quality, and other important properties of the manufactured object. In this paper, the Objective Functions (OFs), presented in the literature for the search of the optimal build direction, are considered and reviewed. The following OFs are discussed: part quality, surface quality, support structure, build time, manufacturing cost, and mechanical properties. All of them are distinguished factors that are affected by build direction. In the first part of the paper, a collection of the most significant published methods for the estimation of the factors that most influence the build direction is presented. In the second part, a summary of the optimization techniques adopted from the reviewed papers is presented. Finally, the advantages and disadvantages are briefly discussed and some possible new fields of exploration are proposed.
引用
收藏
页数:26
相关论文
共 75 条
  • [1] Fabrication direction optimization to minimize post-machining in layered manufacturing
    Ahn, Daekeon
    Kim, Hochan
    Lee, Seokhee
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2007, 47 (3-4) : 593 - 606
  • [2] Representation of surface roughness in fused deposition modeling
    Ahn, Daekeon
    Kweon, Jin-Hwe
    Kwon, Soonman
    Song, Jungil
    Lee, Seokhee
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2009, 209 (15-16) : 5593 - 5600
  • [3] Surface roughness prediction using measured data and interpolation in layered manufacturing
    Ahn, Daekeon
    Kim, Hochan
    Lee, Seokhee
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2009, 209 (02) : 664 - 671
  • [4] Part orientation and build cost determination in layered manufacturing
    Alexander, P
    Allen, S
    Dutta, D
    [J]. COMPUTER-AIDED DESIGN, 1998, 30 (05) : 343 - 356
  • [5] Multi-Objective Optimization of Additive Manufacturing Process
    Asadollahi-Yazdi, Elnaz
    Gardan, Julien
    Lafon, Pascal
    [J]. IFAC PAPERSONLINE, 2018, 51 (11): : 152 - 157
  • [6] On the application of grey Taguchi method for benchmarking the dimensional accuracy of the PLA fused filament fabrication process
    Aslani, Kyriaki-Evangelia
    Kitsakis, Konstantinos
    Kechagias, John D.
    Vaxevanidis, Nikolaos M.
    Manolakos, Dimitrios E.
    [J]. SN APPLIED SCIENCES, 2020, 2 (06):
  • [7] A systematic review of voxelization method in additive manufacturing
    Bacciaglia, Antonio
    Ceruti, Alessandro
    Liverani, Alfredo
    [J]. MECHANICS & INDUSTRY, 2019, 20 (06)
  • [8] On the surface quality of additive manufactured parts
    Barari, A.
    Kishawy, H. A.
    Kaji, F.
    Elbestawi, M. A.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 89 (5-8) : 1969 - 1974
  • [9] SMS-EMOA: Multiobjective selection based on dominated hypervolume
    Beume, Nicola
    Naujoks, Boris
    Emmerich, Michael
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 181 (03) : 1653 - 1669
  • [10] Accuracy prediction in fused deposition modeling
    Boschetto, A.
    Bottini, L.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 73 (5-8) : 913 - 928