Support generation for additive manufacturing based on sliced data

被引:1
作者
Yu-an Jin
Yong He
Jian-zhong Fu
机构
[1] Zhejiang University,The State Key Lab of Fluid Power Transmission and Control, College of Mechanical Engineering
[2] Zhejiang University,Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, School of Mechanical Engineering
来源
The International Journal of Advanced Manufacturing Technology | 2015年 / 80卷
关键词
Additive manufacturing; Support generation; Sliced data; Boolean operation;
D O I
暂无
中图分类号
学科分类号
摘要
Support generation is a critical technology in additive manufacturing (AM) process in terms of enhancing fabricating efficiency and accuracy. Apart from external support structures for overhanging features, internal support structures also play significant roles in building parts by means of filling internal space with support structures, thus reducing the material and build time remarkably. In order to avoid difficulties in handling three-dimensional processing of STL model, a support generation approach based on sliced layers is proposed to generate both internal and external supports for AM. In the external support structures generation, the general methodology is improved by identifying external support areas correctly and reasonably. The Boolean operation between adjacent layers obtains possible external support areas quickly for each layer. With a give threshold value of the inclination angle, all the possible external support areas are judged by computing the distance between points on adjacent layers. With regard to internal support generation, Boolean operation between influencing layers is performed to obtain the interior contours of the current layer based on required wall thickness along both horizontal and perpendicular directions. The proposed approach for both internal and external support generation has been put into practice to generate support structures, and the practical experiment results testified the rationality and benefits of the proposed algorithm.
引用
收藏
页码:2041 / 2052
页数:11
相关论文
共 50 条
[31]   Robust generation of the delta volume for the damaged area of a part using the marching cubes algorithm to support additive manufacturing–based part maintenance [J].
Youngki Kim ;
Moohyun Cha ;
Fazhi He ;
Duhwan Mun .
The International Journal of Advanced Manufacturing Technology, 2021, 117 :1473-1489
[32]   Additive manufacturing based bellows [J].
Bonvoisin, B. ;
Brandao, A. ;
Hatzenbichler, M. ;
Scheerer, M. ;
Simon, Zoltan ;
Senck, Sascha ;
Ghidini, T. .
CEAS SPACE JOURNAL, 2023, 15 (01) :27-35
[33]   Additive manufacturing based bellows [J].
B. Bonvoisin ;
A. Brandao ;
M. Hatzenbichler ;
M. Scheerer ;
Zoltan Simon ;
Sascha Senck ;
T. Ghidini .
CEAS Space Journal, 2023, 15 :27-35
[34]   Direct generation of STL files from USGS DEM data for additive manufacturing of terrain models [J].
Modi, Yashwant Kumar ;
Agrawal, Sanat ;
de Beer, Deon J. .
VIRTUAL AND PHYSICAL PROTOTYPING, 2015, 10 (03) :137-148
[35]   An Improved Two-Level Support Structure for Extrusion-Based Additive Manufacturing [J].
Feng, Ruiliang ;
Li, Xianda ;
Zhu, Lin ;
Thakur, Atul ;
Wei, Xiangzhi .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2021, 67
[36]   Genetic-algorithm based framework for lattice support structure optimization in additive manufacturing [J].
Vaissier, Benjamin ;
Pernot, Jean-Philippe ;
Chougrani, Laurent ;
Veron, Philippe .
COMPUTER-AIDED DESIGN, 2019, 110 :11-23
[37]   Accessibility of support structures in topology optimization for additive manufacturing [J].
van de Ven, Emiel ;
Ayas, Can ;
Langelaar, Matthijs ;
Maas, Robert ;
van Keulen, Fred .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2021, 122 (08) :2038-2056
[38]   Automatic Support Removal for Additive Manufacturing Post Processing [J].
Nelaturi, Saigopal ;
Behandish, Morad ;
Mirzendehdel, Amir M. ;
de Kleer, Johan .
COMPUTER-AIDED DESIGN, 2019, 115 :135-146
[39]   A Decision Support Model in Additive Manufacturing and CNC Machining [J].
Ngoc Thang Tran ;
Van Mai Dang ;
Minh Tai Le .
PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE), 2019, :672-676
[40]   ADDITIVE MANUFACTURING IN SUPPORT OF ADVANCED FLUID MECHANICS TEACHING [J].
Marigil Estremera, D. ;
Garcia Sanz, D. ;
Tizon Pulido, J. M. ;
Navarro Arevalo, E. .
13TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE (INTED2019), 2019, :5533-5541