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Near support-free multi-directional 3D printing via global-optimal decomposition

文献类型：期刊论文

作者Gao, Yisong1; Wu, Lifang1; Yan, Dong-Ming2; Nan, Liangliang3
刊名GRAPHICAL MODELS
出版日期2019-07-01
卷号104页码:10
关键词3D Printing Multi-directional Support-free Model decomposition Global optimization
ISSN号1524-0703
DOI10.1016/j.gmod.2019.101034
通讯作者Wu, Lifang(lfwu@bjut.edu.cn)
英文摘要In 3D printing, it is critical to use as few as possible supporting materials for efficiency and material saving. Multiple model decomposition methods and multi-DOF (degrees of freedom) 3D printers have been developed to address this issue. However, most systems utilize model decomposition and multi-DOF independently. Only a few existing approaches combine the two, i.e. partitioning the models for multi-DOF printing. In this paper, we present a novel model decomposition method for multi-directional 3D printing, allowing consistent printing with the least cost of supporting materials. Our method is based on a global optimization that minimizes the surface area to be supported for a 3D model. The printing sequence is determined inherently by minimizing a single global objective function. Experiments on various complex 3D models using a five-DOF 3D printer have demonstrated the effectiveness of our approach.
资助项目Beijing Natural Science Foundation[J170001] ; Beijing Natural Science Foundation[L182059] ; National Natural Science Foundation of China[61772523] ; National Natural Science Foundation of China[61702022] ; National Natural Science Foundation of China[61802011] ; National Natural Science Foundation of China[61620106003] ; China Postdoctoral Science Foundation[2018T110019] ; Ri xin Training Programme Foundation for the Talents by Beijing University of Technology ; Construction Project for National Engineering Laboratory for Industrial Big-data Application Technology[312000522303]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000477696600004
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
资助机构Beijing Natural Science Foundation ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; Ri xin Training Programme Foundation for the Talents by Beijing University of Technology ; Construction Project for National Engineering Laboratory for Industrial Big-data Application Technology
源URL[http://ir.ia.ac.cn/handle/173211/27766]  
专题模式识别国家重点实验室_三维可视计算
通讯作者Wu, Lifang
作者单位1.Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, NLPR LIAMA, Beijing, Peoples R China
3.Delft Univ Technol, Delft, Netherlands
推荐引用方式
GB/T 7714		 Gao, Yisong,Wu, Lifang,Yan, Dong-Ming,et al. Near support-free multi-directional 3D printing via global-optimal decomposition[J]. GRAPHICAL MODELS,2019,104:10.
APA Gao, Yisong,Wu, Lifang,Yan, Dong-Ming,&Nan, Liangliang.(2019).Near support-free multi-directional 3D printing via global-optimal decomposition.GRAPHICAL MODELS,104,10.
MLA Gao, Yisong,et al."Near support-free multi-directional 3D printing via global-optimal decomposition".GRAPHICAL MODELS 104(2019):10.

入库方式： OAI收割

来源：自动化研究所

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