CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Global Stiffness Structural Optimization for 3D Printing Under Unknown Loads
Wang,Y. Tuanfeng; Liu, Yuan; Liu, Xuefeng; Yang, Zhouwang; Yan, Dong-Ming; Liu, Ligang
Source PublicationJournal of Computer Graphics Techniques
The importance of the stiffness of a 3D printed object has only been realized gradually over
the years. 3D printed objects are always hollow with interior structure to make the fabrication
process cost-effective while maintaining stiffness. State-of-the-art techniques are either
redundant (using much more material than necessary to ensure the stiffness in any case) oroptimize the structure under one of the most-probable load distributions, which may fall short
in other distribution cases. Furthermore, unlike industrial products using brittle materials
such as metal, cement, etc., where stress plays a very important role in structural analysis,
materials used in 3D printing such as ABS, Nylon, resin, etc. are rather elastic (flexible).
When considering structural problems of 3D printed objects, large-scale deformation always
comes before reaching stress limits when loads are applied. We propose a novel approach
for designing the interior of an object by optimizing the global stiffness — minimizing the
maximum deformation under any possible load distribution. The basic idea is to maximize
the smallest eigenvalue of the stiffness matrix. More specifically, we first simulate the object
as a lightweight frame structure, and optimize both the size and the geometry using an
eigen-mode-like formulation, interleaved with a topology clean. A postprocess is applied to
generate the final object based on the optimized frame structure. The proposed method does
not require specific load cases and material strengths as inputs, which the existing methods
require. The results obtained from our experiments show that optimizing the interior structure
under unknown loads automatically keeps strength where the structure is the weakest and is
proven to be a powerful and reasonable design framework.
Keyword3d Printing
Document Type期刊论文
Recommended Citation
GB/T 7714
Wang,Y. Tuanfeng,Liu, Yuan,Liu, Xuefeng,et al. Global Stiffness Structural Optimization for 3D Printing Under Unknown Loads[J]. Journal of Computer Graphics Techniques,2016,5(3):18-38.
APA Wang,Y. Tuanfeng,Liu, Yuan,Liu, Xuefeng,Yang, Zhouwang,Yan, Dong-Ming,&Liu, Ligang.(2016).Global Stiffness Structural Optimization for 3D Printing Under Unknown Loads.Journal of Computer Graphics Techniques,5(3),18-38.
MLA Wang,Y. Tuanfeng,et al."Global Stiffness Structural Optimization for 3D Printing Under Unknown Loads".Journal of Computer Graphics Techniques 5.3(2016):18-38.
Files in This Item: Download All
File Name/Size DocType Version Access License
2016_JCGT_GlobalStif(10698KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang,Y. Tuanfeng]'s Articles
[Liu, Yuan]'s Articles
[Liu, Xuefeng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang,Y. Tuanfeng]'s Articles
[Liu, Yuan]'s Articles
[Liu, Xuefeng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang,Y. Tuanfeng]'s Articles
[Liu, Yuan]'s Articles
[Liu, Xuefeng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2016_JCGT_GlobalStiffness.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.