Self-supporting structure design in additive manufacturing through explicit topology optimization

By Xu Guo, Jianhua Zhou, Weisheng Zhang, Zongliang Du, Chang Liu, Ying Liu. 2017

293 citations recorded by the source corpus.

Abstract One of the challenging issues in additive manufacturing (AM) oriented topology optimization is how to design structures that are self-supportive in a manufacture process without introducing additional supporting materials. In the present contribution, it is intended to resolve this problem under an explicit topology optimization framework where optimal structural topology can be found by optimizing a set of explicit geometry parameters. Two solution approaches established based on the Moving Morphable Components (MMC) and Moving Morphable Voids (MMV) frameworks, respectively, are proposed and some theoretical issues associated with AM oriented topology optimization are also analyzed. Numerical examples provided demonstrate the effectiveness of the proposed methods.

Subfields: Civil and Structural Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/0c723455d1240fbd849473bc9e9f5d412be32775

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Akihiro Takezawa
2. Zhan Kang
3. Lin Cheng
4. Jikai Liu
5. Albert C. To
6. Xuan Liang
7. Shuting Wang
8. Xianda Xie

In Mechanics of Materials

1. Zhan Kang
2. Jikai Liu
3. Shuting Wang
4. Xianda Xie
5. Manman Xu
6. Lei Li
7. Krishnan Suresh
8. Lin Cheng

Citations in the corpus

• Topology optimization with multiple materials via moving morphable component (MMC) method (2018, unknown): “l1⁄41 1−Hε χ sl ð Þ ð Þ Hε χi dV ; (27)”
• Current and future trends in topology optimization for additive manufacturing (2018, methodology): “2017a), self-support design (Mirzendehdel and Suresh 2016; Gaynor and Guest 2016; Guo et al. 2017; Allaire et al. 2017a), and porous infill design (Wu et al.”
• A new isogeometric topology optimization using moving morphable components based on R-functions and collocation schemes (2018, background): “Recently, another type of explicit boundary TO based on moving morphable void (MMV) was presented for three dimensional TO problems [25], which has been applied to self-supporting structure design in additive manufacturing [16].”