Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks
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 irregul...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2015
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| Online Access: | https://eprints.nottingham.ac.uk/33945/ |
| _version_ | 1848794740420509696 |
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| author | Araujo, L.J.P. Özcan, Ender Atkin, Jason Baumers, Martin Tuck, Christopher Hague, Richard J.M. |
| author_facet | Araujo, L.J.P. Özcan, Ender Atkin, Jason Baumers, Martin Tuck, Christopher Hague, Richard J.M. |
| author_sort | Araujo, L.J.P. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:21:00Z |
| format | Conference or Workshop Item |
| id | nottingham-33945 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:21:00Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-339452020-05-04T17:15:18Z https://eprints.nottingham.ac.uk/33945/ 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. 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. 2015-08-10 Conference or Workshop Item PeerReviewed Araujo, L.J.P., Özcan, Ender, Atkin, Jason, Baumers, Martin, 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. http://sffsymposium.engr.utexas.edu/sites/default/files/2015/2015-32-Araujo.pdf |
| spellingShingle | Araujo, L.J.P. Özcan, Ender Atkin, Jason Baumers, Martin Tuck, Christopher Hague, Richard J.M. Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks |
| title | Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks |
| title_full | Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks |
| title_fullStr | Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks |
| title_full_unstemmed | Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks |
| title_short | Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks |
| title_sort | toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks |
| url | https://eprints.nottingham.ac.uk/33945/ https://eprints.nottingham.ac.uk/33945/ |