Title
Cross section-based hollowing and structural enhancement
Author
Wang, Weiming (Dalian University of Technology)
Li, Baojun (Dalian University of Technology)
Qian, Sicheng (Dalian University of Technology)
Liu, Yong-Jin (Tsinghua University)
Wang, C.C. (TU Delft Materials and Manufacturing) 
Liu, Ligang (University of Science and Technology of China)
Yin, Baocai (Dalian University of Technology)
Liu, Xiuping (Dalian University of Technology)
Date
2017
Abstract
Recently, 3D printing has become a powerful tool for personal fabrication. However, the price of some materials is still high which limits its applications in home users. To optimize the volume of the model, while not largely affecting the strength of the objects, researchers propose algorithms to divide the model with different kinds of lightweight structures, such as frame structure, honeycomb cell structure, truss structure, medial axis tree. However, these algorithms are not suitable for the model whose internal space needs to be reused. In addition, the structural strength and static stability of the models, obtained with modern 3D model acquirement methods, are not guaranteed. In consequence, some models are too fragile to print and cannot be survived in daily usage, handling, and transportation or cannot stand in a stable. To handle the mentioned problems, an algorithm system is proposed based on cross sections in this work. The structural weak cross sections are enhanced, and structural strong cross sections are adaptively hollowed to meet a given structural strength, static stability, printability, etc., while the material usage is minimized. The proposed algorithm system has been tested on several typical 3D models. The experimental results demonstrate the effectiveness and practicability of our system.
Subject
3D printing
Adaptive hollowing
Cross section
Structural enhancement
To reference this document use:
http://resolver.tudelft.nl/uuid:1cceb732-d169-4388-8018-c5427f219fd7
DOI
https://doi.org/10.1007/s00371-017-1386-5
Embargo date
2018-05-16
ISSN
0178-2789
Source
The Visual Computer: international journal of computer graphics, 33 (6-8), 949-960
Event
CGI'17 Computer Graphics International 2017, 2017-06-27 → 2017-06-30, Yokohama, Japan
Bibliographical note
Author Accepted Manuscript
Part of collection
Institutional Repository
Document type
journal article
Rights
© 2017 Weiming Wang, Baojun Li, Sicheng Qian, Yong-Jin Liu, C.C. Wang, Ligang Liu, Baocai Yin, Xiuping Liu