Journal
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
Volume 19, Issue 4, Pages -Publisher
ASME
DOI: 10.1115/1.4043530
Keywords
additive manufacturing; support structure; topology optimization; particle swarm optimization
Funding
- National Natural Science Foundation of China [51605290]
- Shanghai Sailing Program [16YF1405500]
- Shanghai International Science and Technology Cooperation Fund [18510745700]
Ask authors/readers for more resources
Reducing the volume of support structures is a critical means for saving materials and budgets of additive manufacturing, and tree structure is an effective topology for this purpose. Although a few articles in literature and commercial software have been devoted to developing tree-supports, those tree-supports are generated based on geometry optimization or user-defined parameters, which cannot guarantee a minimum volume with robust fabrication guarantee. To address this issue, we propose a set of formulas for stably growing the tree-supports with physical constraints based on 3D printing experiments using fused decomposition modelling (FDM) machines, and a volume minimization mechanism using a hybrid of particle swarm optimization (PSO) method and a greedy algorithm. We show that this combination is effective in reducing the volume of tree-supports and the simulations reveal that the volume curves monotonically descent to a constant within a short time, and our experimental results show that the models with the tree-supports can be manufactured stably.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available