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

Authors :
Guo, Xu
Zhou, Jianhua
Zhang, Weisheng
Du, Zongliang
Liu, Chang
Liu, Ying
Source :
Computer Methods in Applied Mechanics & Engineering. Aug2017, Vol. 323, p27-63. 37p.
Publication Year :
2017

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00457825
Volume :
323
Database :
Academic Search Index
Journal :
Computer Methods in Applied Mechanics & Engineering
Publication Type :
Academic Journal
Accession number :
123974094
Full Text :
https://doi.org/10.1016/j.cma.2017.05.003