Cross section-based hollowing and structural enhancement

Journal Article (2017)
Author(s)

Weiming Wang (Dalian University of Technology)

Baojun Li (Dalian University of Technology)

Sicheng Qian (Dalian University of Technology)

Yong-Jin Liu (Tsinghua University)

C.C. Wang (TU Delft - Materials and Manufacturing)

Ligang Liu (University of Science and Technology of China)

Baocai Yin (Dalian University of Technology)

Xiuping Liu (Dalian University of Technology)

Research Group
Materials and Manufacturing
Copyright
© 2017 Weiming Wang, Baojun Li, Sicheng Qian, Yong-Jin Liu, C.C. Wang, Ligang Liu, Baocai Yin, Xiuping Liu
DOI related publication
https://doi.org/10.1007/s00371-017-1386-5
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 Weiming Wang, Baojun Li, Sicheng Qian, Yong-Jin Liu, C.C. Wang, Ligang Liu, Baocai Yin, Xiuping Liu
Research Group
Materials and Manufacturing
Issue number
6-8
Volume number
33
Pages (from-to)
949-960
Reuse Rights

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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.

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