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

Araujo, L.J.P. and Özcan, Ender and Atkin, Jason and Baumers, Martin and Tuck, Christopher and Hague, Richard J.M. (2015) Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks. In: Annual International Solid Freeform Fabrication Symposium, 10-12 August 2015, Austin, Texas, USA.

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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.

Item Type: Conference or Workshop Item (Paper)
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
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
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Depositing User: Ozcan, Dr Ender
Date Deposited: 14 Jun 2016 09:03
Last Modified: 02 Jul 2018 09:05

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