Grid-tree composite support structures for lattice parts in selective laser melting

被引:7
作者
Huang, Renkai [1 ]
Dai, Ning [2 ]
Pan, Chunrong [1 ]
Yang, Youwen [1 ,4 ]
Jiang, Xiaotong [3 ]
Tian, Sukun [4 ,5 ]
Zhang, Zhe [1 ]
机构
[1] Jiangxi Univ Sci & Technol, Sch Mech & Elect Engn, 1958 Hakka Ave, Ganzhou 341000, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, 29 Yudao St, Nanjing 210016, Peoples R China
[3] Nanjing Univ Sci & Technol, Sch Mech Engn, Nanjing 210094, Peoples R China
[4] Peking Univ, Sch & Hosp Stomatol, Fac Prosthodont, Ctr Digital Dent, Beijing 100081, Peoples R China
[5] Shandong Univ, Sch Mech Engn, Jinan 250061, Peoples R China
基金
中国国家自然科学基金;
关键词
SLM; Lattice parts; Support structures; Build orientation optimization; STRUCTURE GENERATION; OPTIMIZATION; TITANIUM;
D O I
10.1016/j.matdes.2022.111499
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Metal lattice structure has excellent mechanical properties to develop lightweight parts, and selective laser melting (SLM) makes it possible to construct complex lattice parts without molds. Support structures are required in SLM to remove heat away from the process and reduce geometrical distortions. However, traditional support structure generation methods have some problems, such as low generation efficiency, difficulty in the removal and not meeting the fabrication requirements of lattice parts. Therefore, this article proposes a grid-tree composite support structure generation algorithm for lattice parts. First, optimize the build orientation of the lattice parts considering the surface quality of functional features and the processability of lattice structures. Then, identify the frame's overhang area and the point overhang of lattice structures. Finally, generate the grid-tree composite support structure for lattice parts. We conducted experiments to verify our approach and compare our method with three supports of Magics RP. Experimental results reveal that our method is effective in reducing support volume and warpage deformation.(c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
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页数:14
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