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Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks

Araujo, L.J.P.; Özcan, Ender; Atkin, Jason; Baumers, Martin; Tuck, Christopher; Hague, Richard J.M.

Authors

L.J.P. Araujo

Richard J.M. Hague



Abstract

In many cases, the efficient operation of Additive Manufacturing (AM) technology relies on build volumes being packed effectively. Packing algorithms have been developed in response to this requirement. The configuration of AM build volumes is particularly challenging due to the multitude of irregular geometries encountered and the potential benefits of nesting parts. Currently proposed approaches to address this packing problem are routinely evaluated on data sets featuring shapes that are not representative of targeted manufacturing products. This study provides a useful classification of AM build volume packing problems and an overview of existing benchmarks for the analysis of such problems. Additionally, this paper discusses characteristics of future, more realistic, benchmarks with the intention of promoting research toward effective and efficient AM build volume packing being integrated into AM production planning methodologies.

Publication Date Aug 10, 2015
Peer Reviewed Peer Reviewed
APA6 Citation Araujo, L., Özcan, E., Atkin, J., Baumers, M., Tuck, C., & Hague, R. J. (2015). Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks
Publisher URL http://sffsymposium.engr.utexas.edu/sites/default/files/2015/2015-32-Araujo.pdf
Related Public URLs https://www.americamakes.us/resources/training/event/106-2015-annual-international-solid-freeform-fabrication-symposium
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
Additional Information Published in: Proceedings, 26th Annual International Solid Freeform Fabrication Symposium - an Additive Manufacturing Conference : August 10-12, 2015. Austin, Tex. : University of Texas at Austin, 2015, pp. 401-410

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0





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