| 期号 |
Int. J. Simul. Multisci. Des. Optim.
卷号 6, 2015
|
|
|---|---|---|
| 文献编号 | A9 | |
| 页数 | 13 | |
| DOI | https://doi.org/10.1051/smdo/2016001 | |
| 网上发表时间 | 2016年1月26日 | |
Research Article
Challenges of additive manufacturing technologies from an optimisation perspective
1
INRA, UR1268 Biopolymères Interactions Assemblages, 44300
Nantes, France
2
Laboratory of Engineering Simulation & Aerospace Computing-ESAC, Northwestern Polytechnical University, 710072
Xian, Shaanxi, P.R. China
3
LUNAM University of Nantes Angers Le Mans, CNRS, GEPEA, UMR 6144, IUT de Nantes, 2 avenue du Professeur Jean Rouxel, 44475
Carquefou Cedex, France
4
Department of Polymers and Composites Technology & Mechanical Engineering, Mines Douai, 941 rue Charles Bourseul, CS 10838, 59508
Douai, France
* e-mail: sofiane.guessasma@nantes.inra.fr
Received:
29
October
2015
Accepted:
31
December
2015
Three-dimensional printing offers varied possibilities of design that can be bridged to optimisation tools. In this review paper, a critical opinion on optimal design is delivered to show limits, benefits and ways of improvement in additive manufacturing. This review emphasises on design constrains related to additive manufacturing and differences that may appear between virtual and real design. These differences are explored based on 3D imaging techniques that are intended to show defect related processing. Guidelines of safe use of the term “optimal design” are derived based on 3D structural information.
Key words: Additive Manufacturing / Topological optimisation / Process-induced defects / X-ray micro-tomography
© S. Guessasma et al., Published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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