An experimental analysis of deepest bottom-left-fill packing methods for additive manufacturing-Reference-Cited by-同舟云学术

An experimental analysis of deepest bottom-left-fill packing methods for additive manufacturing

Published:2019-11-11 Issue:22 Volume:58 Page:6917-6933
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Araújo Luiz J.P.¹²,Panesar Ajit³⁴,Özcan Ender¹,Atkin Jason¹^ORCID,Baumers Martin⁴,Ashcroft Ian⁴

Affiliation:

1. Automated Scheduling, Optimisation and Planning Group School of Computer Science, University of Nottingham, Nottingham, UK

2. Department of Machine Learning and Knowledge Representation, Innopolis University, Innopolis, Russia

3. Department of Aeronautics, Imperial College London

4. Centre for Additive Manufacturing, Faculty of Engineering, University of Nottingham, Nottingham, UK

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Engineering and Physical Sciences Research Council

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1686187

Reference69 articles.

1. Optimal Allocation of Two-Dimensional Irregular Shapes Using Heuristic Search Methods

2. Analysis of irregular three-dimensional packing problems in additive manufacturing: a new taxonomy and dataset

3. Araújo, Luiz Jonata Pires de, Ender Özcan, J. A. D. Atkin, Martin Baumers, Christopher Tuck, and Richard J M Hague. 2015. “Toward Better Build Volume Packing in Additive Manufacturing: Classification of Existing Problems and Benchmarks.” In Proceedings of the Solid Freeform Fabrication Symposium, 401–410.

4. Art, Richard Carl. 1966. “An Approach to the Two Dimensional Irregular Cutting Stock Problem.” PhD diss., Massachusetts Institute of Technology.

5. Informing additive manufacturing technology adoption: total cost and the impact of capacity utilisation

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