Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84581
Title: Topology Optimization and Structure Partition for Additive Manufacturing: A Literature Review
Authors: Xu, Feifei
Chen, Songlin
Keywords: Topology optimization
Additive manufacturing
Issue Date: 2016
Source: Xu, F., & Chen, S. (2016). Topology Optimization and Structure Partition for Additive Manufacturing: A Literature Review. Proceedings of the 2nd International Conference on Progress in Additive Manufacturing (Pro-AM 2016), 164-169.
Abstract: With the development of additive manufacturing (AM), the constraints associated with traditional subtractive manufacturing have been largely alleviated. The improved design freedom due to the nature of additive manufacturing, which fabricates objects on a layer-by-layer basis, allows the manufacturing of parts of almost any shape theoretically. Apart from Design for Manufacturing (DMF), a new concept – Design for Additive Manufacturing (DFAM) has been introduced. One promising application arises from DFAM is the light weight structure, which can be achieved by topology optimization (TO). In this paper, two common TO methods will be reviewed. An important issue for applying TO to AM is that the optimized structure may not be simply and directly manufactured using an AM machine due to the constraints of AM technology. One particular constraint is the limited build size of most commercial 3D printers, which requires the part to be partitioned and printed in several parts. This limitation and some part partitioning methods outside TO will also be reviewed in this paper.
URI: https://hdl.handle.net/10356/84581
http://hdl.handle.net/10220/41835
Rights: © 2016 by Pro-AM 2016 Organizers. Published by Research Publishing, Singapore
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Conference Papers
Pro-AM Conference Papers

Files in This Item:
File Description SizeFormat 
Topology Optimization and Structure Partition for Additive.pdf122.91 kBAdobe PDFThumbnail
View/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.